An Apple Pie from Scratch, Part VIb: Climate: Biomes and Climate Zones



Himalayas mountains, which cause a strong rainshadow effect. NASA

Now that we’ve outlined the essential properties of our world’s global climate, it’s time to get into the particulars. For Earthlike worlds, the atmospheric convection cells should broadly determine the positions of major bands of climate—tropical, desert, temperate, tundra—but if we really want to get a sense of the weather, seasons, wildlife, and geology of a particular spot on the world—in essence, what it would be like to be there—then we have to start getting into how climate plays out locally.

This post will take some of the theory of climate we went over last time (if you haven’t already, I strongly recommend reading at least the first couple sections of the last post, because they’re vital to understanding this one) and apply it as a practical guide to mapping out the climate zones of a fictional world, with topography and orbital features as a starting point. For this post, however, we’ll be assuming fairly Earthlike worlds and using some tools only applicable to such cases—that means worlds with insolation, year length, day length, obliquity, eccentricity, size, volcanic activity, land area, pressure, and vegetation broadly similar to Earth’s properties (about as similar as Teacup Ae is, anyway). I will take time to address some of the more exotic cases in another post, but let’s not get ahead of ourselves.
Back to Part VIa

Climate Zone Classification

There are, of course, many variations in local climate on Earth, and possibly even more on other worlds, but generally speaking we can split Earth’s surface into a handful of zones with fairly similar climate, and so fairly similar weather and wildlife.

Now, many people tend to use “biome” and “climate zone” interchangeably but that isn’t quite accurate. Biomes are regions with similar ecosystems inhabited by similar organisms, and so are descriptive regions; you have to mark them out based on the actual life present. Climate zones are proscriptive; they’re determined by strict factors resulting from global patterns, and so can be marked out based on a set of rules (though we’ll have to use a bit of personal intuition here because of the limited information and tools at hand). We can also distinguish between these areas and biogeographic regions, which are contiguous areas with similar enough climates and few enough barriers that wildlife can travel freely, such that similar ecological niches tend to be occupied by related species.

Climate zones play a major role in determining biomes and biogeographic regions, but they’re not the only factor; in the scheme we’ll use, coastal New England and central Russia are within the same climate zone even though they have rather different life inhabiting them. This tutorial focuses on marking climate zones, but we’ll discuss biomes and biogeographic regions a bit here and in following posts.

There are a variety of climate zone schemes used, but within the worldbuilding community by far the most popular is the Köppen climate classification system (A.K.A. the Köppen-Geiger system, as it’s a modification of the original). This system is strictly determined by temperature and precipitation during the warmest and coldest months (sometimes few months) of the year, both of which can be at least guessed at based on global climate patterns.


The Köppen system includes 31 climate zones broken down into 5 groups, but many of these climate zones are quite similar to each other or appear only in very small regions. So to make things a bit easier, we’ll use a reduced set of 14 climate zones.


At a glance, the impact of the atmospheric convection cells is clear in the grouping of climate zones into horizontal belts: Lush rainforests at the equator, giving way to savanna, steppe, and then hot deserts at the horse latitudes, then temperate climate zones, then subarctic, and finally the frigid tundra and ice caps.

It’s also pretty clear that topography has a big impact: high plateaus like the Himalayas and Rockies create cold deserts and even tundra zones far from the poles.

But there’s definitely more at play here: these climate belts appear slanted across the continents, and some appear only on certain sides; mediterranean and oceanic climate zones are mostly restricted to the west coasts of continents, and subtropical zones to the east coasts.

That’s the subtle variation we want to reproduce here; not only in pursuit of realism, but also to give our worlds a bit of diversity and help guide the development of lifeforms and societies later on.

Before we start, I’m assuming you already have at least a basic sketch of your world’s landmasses and topography. We don’t need anything too detailed just yet. If you haven’t gotten that far, I’ll refer you back to my guide to constructing a tectonic history. I suggest using an equirectangular projection for the map, as it accurately represents cardinal directions without distorting shapes too much; gplates can export such maps (it calls them just “rectangular”). Here’s what I’m working with in the case of our example world, Teacup Ae (with the interim names of the continents and oceans, for reference):


However, east-west distances near the poles are pretty distorted on this projection, so I suggest you have Gplates open as well in the globe view, and use the measurement tool there when judging distances from the coasts (Even if you didn’t build your world map in Gplates, you can import any equirectangular map as a raster). Maptoglobe is also a decent option.

I’m also assuming you’ve picked out the orbital parameters that will determine your world’s seasonal cycle; obliquity, eccentricity, and argument of obliquity. If you’re unfamiliar with the terms, I defined them in Part III; I’ve also discussed their impact on habitability and global climate, and built the “Irradiance Fast Rot” tab in my spreadsheet to give you an idea of what impact particular parameters will have. I initially defined these values for Teacup Ae as 15° obliquity, 0.1 eccentricity, and 150° argument of obliquity, but in the course of making this tutorial I’ve found the need to tweak them a bit to get results I liked—so don’t be afraid to do the same yourself.

And finally, I will assume that these planets all spin towards the east, as Earth does. If your planet spins west and you want to avoid getting confused over the course of this tutorial, you can flip your map horizontally or rotate it 180°, proceed through the tutorial, and then flip or rotate the map back at the end (if you don’t like the climate map at the end of this tutorial, flipping the map is also a useful way to get a different climate without needing new landmasses and topography).

Step 1: Basic Sketch

To start off with, we’re going to need at least a basic sketch of some major types of land cover: Desert, ice cap, dense forest and more open grassland and shrubland. These are, of course, determined by the climate, so it may seem like a catch-22 to have to use them to work out the climate, but this is only a sketch; it doesn’t have to be perfect, and if you like you can iterate this process by taking the final climate map and using it to start the process over, tedious though that may be.

Prevailing Winds

To make our sketch, we’ll use the boundaries of the atmospheric convection cells and the prevailing winds they produce. Though, as we’ll see, these winds move with the seasons, in this case we’ll use a simplified model where they’re tied to latitude, and we’ll also assume that Teacup Ae’s rotation rate is similar enough to Earth’s for the cell boundaries to be at roughly the same latitudes.

In that case, we can mark out alternating easterly and westerly prevailing winds like so:


As expected, we have converging winds at 0° and 60° latitude, which should create wet forest belts, and diverging winds at 30° and the poles, which should make dry desert belts and polar tundra. We also have alternating easterly and westerly prevailing winds; onshore winds blowing from sea to land will carry moisture far inland, while offshore winds will leave the land relatively dry.

Ice Caps

Let’s mark out these regions first, where ice persists year-round: Exactly how far they extend on flat land depends on the particular global climate state—which is to say, you can put the boundary about anywhere you want, but once it gets past around 40° latitude you might be approaching the point where we’d expect a rapid transition to a snowball state.

The ice caps will extend further equatorward in mountains. The general rule of thumb is that 1 kilometer increased altitude is similar to moving 8° poleward, but distance from the coasts matters as well; glaciers will advance further equatorward on inland regions that are better insulated from the moderating influence of the oceans. On the other hand, landmasses at the poles totally isolated from other continents by oceans will be more likely to freeze over completely. These sorts of differences in topography can lead to major asymmetries in the extent of ice caps in either hemisphere.

So here’s how that looks for Ae, with ice caps similar in size to Earth, though without isolated landmasses like Antarctica or Greenland. Note that I’m only marking ice caps on land here; they will extend onto the seas as well, but for this process we don’t need to worry about that.

Deserts

Next up, desert regions which have little or no rain and vegetation. The main belt of deserts will be near the horse latitudes, though centered a little closer to the equator; on Earth they’re mostly between 15° and 30° latitude, but they’ll move with widening or shrinking of the Hadley cell on other worlds.

They don’t occupy all land at these latitudes, though; onshore winds keep east coasts at these latitudes wet, reaching inwards around 1,000-1,500 km or to a substantial mountain range. Monsoon winds can also bring moisture into the desert belt; we’ll discuss the mechanisms behind them later, but for now suffice it to say that large landmasses in the horse latitudes directly north or south of equatorial oceans will tend to have wet coasts and smaller deserts.

Outside of the Hadley cell, winds are less regular so there are no coastal deserts even where offshore winds occur. But deserts can still occur here—or near the equator—out of reach of moist winds from the oceans.

One way is simple distance; air moving over land will be continuously precipitating out water and so have less and less remaining as it moves further inland, so forest and grassland gives way to steppe gives way to desert. This should occur around 2-3,000 km away from coasts with onshore winds and 1,000 km away from coasts with offshore winds (these distances may be different on planets with different average levels of wind speed or precipitation). Bear in mind that when I say “coasts” I’m referring to those on major oceans, not every minor inlet or small inland sea.

The other way is with orographic lift: When water-laden air encounters a mountain range, it is forced upwards and the surrounding pressure drops; the air thus expands and cools, and the water vapor contained in it condenses and rains out. This means high rains on the windward side of the mountains, but little moisture left for the leeward side, or anywhere else downwind. The descending air also condenses and warms, creating a hot, dry wind that further contributes to the leeward side’s aridity. Large mountain ranges can thus create a rainshadow, with a sharp division between lush upwind forests and bare downwind desert.

Meg Stewart, Wikimedia

Even fairly low mountains can cause orographic lift when facing consistent winds, but generally speaking it becomes significant at the scale of continents when average relief, height of a mountain range about the surrounding terrain, exceeds 1 km, and can create rainshadow deserts when relief exceeds 2 km. But in particular cases the impact can depend on the moisture content and strength of the winds, which will depend on distance from the sea and the wider context of atmospheric precipitation; a range on the equator facing onshore winds may need to be over 3 km high to cause a rainshadow desert, while one far inland at higher latitude may only need to be 1 km high.

On the windward side of the mountains, rains generally peak at 1-1.5 km relief, which can make these areas wetter than you might expect without the mountains, in some cases even wetter than areas closer to the sea. “Stepped” slopes with flat areas between sections of high relief can allow moisture to reach higher altitudes, but in general you can expect anywhere above 4 km to be dry.

All that in mind, here are Teacup Ae’s deserts:

Dense Forest

Much of the temperate areas of the planet will have some amount of forest cover (assuming an Earthlike biosphere), but we’re more concerned with rainforests and similarly lush coastal forests (this is because what we’re ultimately concerned with in the next steps is albedo).

First off, there should be a belt of rainforest circling the world within 10° latitude of the equator. It won’t appear everywhere; regions at high altitude, thousands of miles from the coasts, or affected by rainshadows will lack them. But anywhere near the coasts, even with offshore winds, should sport thick forests. They will tend to extend further poleward and inland on eastern coasts with onshore winds, though.

Outside of this rainforest belt, dense forests don’t encircle the world at any points, but do still occur in areas with high rain. This will be mostly islands or coastlines with onshore winds, especially those directly exposed to large oceans. You can particularly expect large forested regions at about 45° to 60° latitude on western coasts.

We also have to take orographic lift into account: Rainshadows will inhibit forest growth, but high rains on the windward sides of mountains will encourage forests. A large mountain range can create forests well inland of where you might normally expect them (especially if it’s a young mountain range laden with nutrients).

And so here are these various forest types on Ae:


Any remaining land we’ll assume is scattered or less lush forest, shrubland, and grassland.

This process of sketching out the climate can be pretty quick once you get used to it, so you may find it useful on its own any time you’re not concerned with the particulars of local climate. For example, this is how I produced those paleoclimate maps in the last section. But for those of us looking for detail, we can use this as a starting point for the next step.

Step 2: Simulating Temperature

For this step we’re going to use a convenient but remarkably little-known piece of software called Clima-Sim (the free “demo” version is sufficient for our uses). This program can do most of the work for us of determining surface temperature across the seasons, accounting for atmospheric circulation, insolation, surface albedo, and topography. It even has basic modelling of clouds, ocean currents, and snow/ice accumulation. It’s not the most advanced model out there—the GCMs that climate scientists use (“Global Climate Model” or “General Circulation Model” depending on who you ask) are pretty inaccessible for anyone not familiar with FORTRAN—so it can’t predict precipitation and doesn’t do too well with exotic cases, but it’s a big step up from just guessing temperature ourselves. 

Planet Parameters

Once it’s downloaded and started, it’ll need a bit of setup. We’ll start with the settings menu.

“Settings” -> “Terrestrial” will open up a menu regarding various greenhouse gasses and similar forcings. The free version doesn’t let us play around with all these settings too much, but we can choose from several presets. The default, “1951-1980 AD”, represents Earth’s climate just before the major rise in CO2 levels and has a global average temperature of about 15 °C with Earth’s topography.


The help menus can tell you about the other settings, but the two most notable are “Cretaceous (90 million yr ago)” which is about 9.5 °C warmer, and “Last Glacial Max (18000 BC)” which is about 5 °C cooler. These are convenient presets for hothouse and icehouse glacial climate states.

“Settings” -> “Orbital/Astronomical” allows us to alter the main forcings determining our seasons—in particular, “Axial tilt (degrees)”, “Orbital eccentricity”, and “Date of perihelion”. Clima-Sim uses an idealized 360-day year with 30-day months and the winter solstice at January 1, so find the mean anomaly of the periapsis from the winter solstice (it’s 180° offset from the argument of obliquity, which I use in my spreadsheet), divide that by 30 to determine the month (1 = January, 2 = February, etc.), and multiply the remainder by 30 to determine the day. Though we can set these values however we like, Clima-Sim’s limited circulation model makes it unsuited for high obliquities or eccentricities.


“Semimajor axis (A.U.)” only affects insolation, not year length; it can be used to adjust average global temperature, but doesn’t reflect the stronger seasons of longer years. “Hours in solar day” only affects the daily range of temperatures, and not atmospheric circulation or year length.

Terrain

Finally, we can start putting in new continents and topography. If you press “Erase Continents” on the right of the main screen, it will clear the map and give you an all-ocean starting point, and you can use the tools in the box in the upper left to draw in new topography and land types.


Clima-Sim uses a fairly low-resolution grid of cells (1296 at most) for its simulation, to help limit computation time. Each cell represents the same area of the surface (hence the “stretching” towards the poles) and we have to specify a dominant surface type and elevation for each cell, though there is some interpolation between cells in the simulation.

When you erase the continents, all cells default to water (which includes ice sheets over water), so we have to draw in land areas in the 4 land surface types that we sketched out in the last section: Permanent Ice, Dense Forest, Grass, and Desert. Clima-Sim uses these to determine albedo.


There are 4 levels of elevation, which must be specified after placing surface types: land areas will start by default as fairly flat (0-1000 m), and we have to draw in areas of low mountains (1000-2000 m), medium mountains (2000-4000 m), and high mountains (>4000 m). These are used to determine air flow and surface temperature.


Conveniently, Clima-Sim allows us to import a map and display it as a background to the map screen, to help draw new continents. To do this:
  • Open your equirectangular map in your image editor of choice (paint.net is my go-to).
  • Resize the map to 720 pixels wide by 420 pixels tall.
  • Save this as a .bmp or .jpg file (any name will do) and place it in the “clima-sim” folder.
  • Open Clima-Sim
  • Select “Erase Continents”
  • Select “Display” -> “Use imported background map (toggle, off and back on for new selection”
  • Select your map file


You can then use this map to fill in Clima-sim’s grid However, the free version of Clima-Sim doesn’t allow you to save new topography, and is also somewhat prone to crashing (in particular, avoid dragging the cursor from inside to outside the map area with the mouse button held down while drawing terrain). So to save some frustration and ensure consistency across sessions, I suggest determining these terrain types outside Clima-Sim. For your convenience, here’s a rough copy of the grid the program uses:


Overlay this on your resized map, and fill it in with high-contrast colors to create 2 maps: One for surface type and one for elevation. In each case you’re trying to represent the dominant terrain in most of the cell, though it may be worth exaggerating isolated islands or mountains, or substantial features that cross multiple cells but don’t occupy the majority of any one. For reference, you can open up Clima-Sim and select “Display” -> “Draw world map outline (toggle)” to see how the default terrain grid compares to Earth’s topography. Note how New Zealand is large enough to merit a cell of land, but Hawaii is not.


For Ae, here are my grids for surface type (top) and elevation (bottom) (after adjusting the ice caps to match the simulation, as I'll describe in a moment):


So now the process of drawing terrain is:
  • Erase Continents
  • Import surface type map
  • Draw surface types (water is the default, so we only need to draw land types)
  • Import elevation map
  • Draw elevation (again, fairly flat is the default, so we only need to draw mountains—if you misclick and place mountain on a cell that should be flat, placing down a surface type again should reset the elevation).
(Note: As an alternative approach, friend of the blog Ostimeus has set up this formatter which you can copy to your google drive and then use to save your terrain as a .wdf file, which you can place in Clima-Sim's folder and then load in the program as a preset. This saves you drawing it in every time you use the program, and also allows you to set the atmospheric parameters (pressure, greenhouse gas levels) to levels outside of Clima-Sim's presets.)

Simulating Climate

Input your terrain, make sure you’ve input the right orbital parameters and selected the right preset for forcings, toggle off the imported map so it’s not in the way, and now we are finally ready to begin the climate simulation. To do so, make sure that “Run mode” is set to “Full run (does three above in order, initialized with zonal temperatures)” and press “Start Model Run” in the upper right corner.


Once the run completes, it will display average annual temperatures at sea level. We should make a couple adjustments first to ensure accuracy:
  • Select “Options” -> “Elevation options” -> “Show actual surface temperatures”. This will display temperatures adjusted for elevation, with temperature dropping by 4.46 °C per kilometer of elevation above sea level.
  • Select “Options” -> “Isotherm Quality” -> “High (slow but smooth)”. Fairly self-explanatory.
Near the center of the controls is a dropdown menu for different months. This may be worth playing around with a little, but the most important months are July and January (2) (the January at the end of the simulation, not the start), which have their own shortcuts below this menu. These should represent the seasonal extremes—summer in the north and winter in the south for July, and winter in the north and summer in the south for January (2) (worlds with high eccentricity and periapsis not aligned with a solstice may have different seasonal peaks; right-click on the map somewhere in the mid latitudes to see the local temperature curve across the year, and survey multiple such locations to get a sense of the seasonal peaks across the planet).


The first time you run the model, you should check how the distribution of ice caps compares to the summer temperatures in each hemisphere. There should be no land cells below 0 °C without permanent ice, and no cells above 0 °C with permanent ice. If there is a mismatch, alter the initial surface type map and rerun the simulation (as the initial albedo of ice will affect the final outcome), and iterate until ice distribution matches modelled surface temperature.

Similarly, there shouldn’t be any dense forests in cells below 10 °C in summer—though, as we’ll see, Clima-Sim isn’t totally accurate for some coastal temperatures at high latitudes, so there’s a bit of leeway here for western coasts.

If you find that you don’t like the distribution of ice (and you may also want to peak ahead a couple sections to the climate bands to get a sense of how they’ll turn out) then you can adjust obliquity and eccentricity to alter the seasonal cycle, or adjust insolation (by adjusting the model’s semimajor axis) to alter average temperature for the whole planet.

In the specific case of Teacup Ae, I found the original parameters resulted in large areas of Steno and Hutton that remained cold year-round and would have ended up as tundra, so I’ve decided to increase obliquity to 25°, and move the argument of obliquity to 120°—expanding the temperate and continental climate bands, especially in the northern hemisphere (I also increased the semimajor axis to 1.01, which reduced the average global temperature to about 16 °C).

Exporting Maps

Once we’re happy with the overall global temperature distribution, we should export the temperature maps for the next steps. Every time you generate a new map with Clima-Sim (usually by changing the month displayed) the map displayed is automatically saved as “lastmap.bmp” either in the “clima-sim” folder or in the same directory as the map overlays you imported. When you’ve generated a temperature map you want to save, you can rename this file (open it first to confirm it’s the map you want), and the program will generate a new file for the next map without altering the renamed file.

The default maps are a bit cluttered, so I like to select “Display” -> “Isotherms only” and “Options” -> “Isotherm color” -> “Black”, then import a blank white image as the background. This lets me display an image of just the isotherms (lines of equal temperature), that I can then overlay on more accurate maps of the landmasses of Ae:

Note that the program adds an extra line of pixels to the bottom.

These isotherms don’t extend all the way to the edges of the map, and will probably have some odd gaps, so keep Clima-Sim open as a reference for marking out temperature zones.

You can also use “Options” -> “Isotherm spacing” to alter the temperature step and numbers of isotherms.

We’ll need at least 4 maps for the process of marking out climate zones:
  • 2 maps with medium isotherm spacing for both of the seasonal peaks (typically July and January (2)).
  • Having maps with wide isotherm spacing for the seasonal peaks is convenient as well.
  • For each hemisphere we’ll also need a map with wide spacing either 2 months before or after peak summer (whichever is warmest at high latitudes where the mean annual temperature is around 10 °C).
  • Having a mean annual temperature map may be cool as well, though not necessary for this tutorial.
I’ll trust that you can figure out the process of resizing these maps back to equirectangular (2:1 width/height ratio), smoothing out the isotherms, converting them to temperature zones, and filling in the edges of the map—it’s mostly just an elaborate process of filling in the lines or interpolating between lines. If you want to stay fully realistic, there should be only one temperature zone across the entire top and bottom boundaries, as these represent points, and temperature zones should wrap around the left and right edges.

Here are the temperature maps for Teacup Ae in peak northern winter (top) and summer (bottom), which will be the order for seasonal maps for the rest of the tutorial.

Step 3: Ocean Currents and Mountains

A special note: I’m doing this step before marking climate bands because I want to have consistent temperature maps, but if you don’t care about that then it may be easier to do this after Step 4, because there are less boundaries to worry about.

Clima-Sim does a pretty good job of simulating global climate, and it does try to account for ocean currents, but ultimately it comes up a bit short. Below is a comparison between the average temperatures modeled by Clima-Sim for Earth’s topography, and the actual recorded temperatures for 1951-1980 (the period used to calibrate Clima-Sim), showing discrepancies at high-latitude coastal areas of 10 °C or more (in the northern hemisphere, at least; the south has little land area at the relevant latitudes):

Blue areas are warmer in reality than simulated, red areas are cooler.

Compare that with Earth’s dominant ocean currents, which carry warm waters poleward in some areas and cool waters equatorward in others:

Dr. Michael Pidwirny

Drawing Currents

Now, just to prevent some confusion: if you’ve spent some time on worldbuilding forums or watched this video, you’ve probably seen current maps that look something like this:


Simply put, this map isn’t actually depicting currents. They don’t stick quite that close to the coasts, and they don’t take hard turns to shoot straight across the oceans. This is more of a depiction of the effects that currents have on land. It’s typically used as a heuristic for determining climate zones without the need for temperature or precipitation data, and in that sense it works well enough, but many people—unaware of the abstracted nature of these maps—often get caught up trying to work out the mechanics of minor coastal features, when in reality they’re not that important to global climate. As I’m using ocean currents more narrowly to adjust temperatures in certain regions, I can stick with a more direct depiction of their actual paths.

In every ocean a single current, the equatorial countercurrent, flows east, generally sticking close to the equator but deflected somewhat by coastlines at a low angle to the current’s direction of flow.


Once this current hits a coastline (or a large archipelago) that’s more perpendicular, it splits and curves around to two currents, the equatorial currents, flowing west, around 5-10° latitude north and south of the countercurrent.


These flow back across the ocean. Some water begins curving poleward within a couple thousand kilometers of leaving the coast, but the main currents will be where the countercurrents encounter the eastern coasts of a landmass along the equator, or where a landmass lies directly to the north or south within about 50° latitude.

Typical current patterns.

These currents then flow poleward along the coasts. They don’t flow too close to the coasts, mind; the main flow is often several hundred kilometers offshore, and the currents won’t sweep into bays and coastal seas. There are currents circulating in these areas, but over such short distances they perform too little heat transport to be relevant to climate. We can think of these bodies of water as “inheriting” the heating or cooling effect of whatever current flows past any seaways connecting it them to the oceans. This is true even where there is an open east-west seaway between continents; some water will flow through, but the main poleward current will continue. Similarly, a parallel north-south seaway between a large landmass and an offshore island can have a side current flowing through it and rejoining the main current.


This is not to imply that straits have no impact at all; in some cases they can provide a passage for warm currents into areas that would otherwise be affected only by cold equatorward currents.


These currents bring warm equatorial waters poleward, so we’ll mark them as warm currents.


The poleward currents continue along the coasts through the Hadley cells, but on entering the Ferrel cells the combination of the Coriolis effect and westerly winds start pushing them east. They separate from the coasts at around 40-50° latitude, depending on the angle of the coastlines (more straight north-south oriented coastlines will cause more poleward separation) and then turn east across the ocean. They’ll generally keep a slight tilt poleward, though they can curve equatorward to meet the poleward tip of a continent that extends partially into the Ferrel cell from the Hadley cell. These currents still carry water warmer than surrounding waters, so we’ll keep them marked as warm currents.


Once this current encounters a coast, it will split again: one branch will flow along the coasts equatorward and merge back with the equatorial current. The other flows poleward along the coast. Similarly to before, we can also expect an equatorward current wherever the eastward current passes poleward of an equatorial landmass.


The poleward current is still warm relative to surrounding waters, but the equatorward current is now carrying relatively cool water towards the equator, so we’ll mark them as cold.


If no landmasses block the poleward current (or sea ice, which forms where the sea remains below -2 °C in summer and does just about as good a job blocking surface currents), it will continue to around 80° latitude, where the polar easterlies will cause it to curve back west until hitting a coast (again, possibly curving slightly equatorward to meet one if necessary), and then flow equatorward to merge with the mid-latitude currents. If the pole is open water, you can expect a small circumpolar current flowing west around the pole, though this has little impact on temperature.


There are a few key patterns that emerge here. For one, there is circulation throughout the ocean; nowhere does a current flow into a body of water without there being another current flowing out.

Another is the formation of large circulation cells, like in the atmosphere—but in the oceans they’re known as gyres. Gyres should form off the west coasts of all large landmasses at low latitudes, turning clockwise in the northern hemisphere and counterclockwise in the south.

Of course, even this is an abstraction of currents to some extent. Water is in motion all across the ocean, and a complete map of surface currents would look something more like this:

NASA/Goddard Space Flight Center Scientific Visualization Studio

But this method does represent the main flow of currents, while hopefully being intuitive enough to chart out for your own worlds.

Currents and Temperature

To have an impact on climate, currents need to move pretty far poleward or equatorward, something like 30° latitude or more—but they’ll retain their heating or cooling effect when crossing the ocean. This means the temperature effects should only be significant where there are large, uninterrupted oceans or major channels extending far across latitudes. This also means that the warming or cooling effect of a current is not lost the moment it changes directions; a poleward current that turns equatorward will still warm the nearby coasts, until it moves more than around 10° latitude and the water temperature begins to approach the surrounding land temperature.

Starting with Clima-Sim’s output, the biggest impacts will be at around 50-70° latitude: western coasts here will be warmer thanks to poleward currents, and eastern coasts cooler due to equatorward currents. Per Earth’s example, the former effect seems to be slightly stronger; the difference between Clima-Sim’s output and the adjusted temperature should peak at around 15 °C warmer on west coasts and 10 °C cooler on east coasts at close to 60° latitude for both. Closer to the equator, some minor heating of eastern coasts and cooling of western coasts at 20° latitude is reasonable, but it shouldn’t be a huge change from Clima-Sim’s output.

Areas of temperature adjustments for currents: red areas will be made warmer and blue areas made cooler.

At the equator there will also be heating of eastern coasts by the equatorial currents, moreso the farther these currents have traveled. These currents pick up heat as they travel west, and it can build up on the western side of the ocean over several years until it causes a temporary reversal of prevailing winds to carry heat back east. In the Pacific these are called “El Niño” events and occur about every 5 years, warming South America and cooling Australia. These events are too subtle and infrequent to be worth accounting for in this tutorial (except perhaps to inform distribution of coral reefs), but may be worth keeping in mind as a likely feature of any broad equatorial oceans.

All that in mind, here are the adjusted temperature maps for Ae:

Mountains

One last adjustment we can make is to mountain temperatures. The low resolution of Clima-Sim’s simulation grid means that it may not quite reflect the shape of high-elevation cold zones accurately, so you’ll have to make some adjustments for that.

Typical Clima-sim output for a mountain range (left) and more realistic adjustment (right)

It also seems to slightly overestimate temperatures on high mountains: If you have any large plateaus above 4 km elevation, their interiors should have average temperatures below 10 °C.

And so, at long last, here are the final temperature maps for Ae (with contour lines at 1 km increments):

Step 4: Climate Bands

The temperature data we’ve gathered is enough to mark off some of the groups in the Köppen scheme—what I’ll refer to as the planet’s climate bands. The procedure is fairly straightforward: Take the temperature maps from clima-sim (with adjustments for ocean currents and mountains, if you’re doing that before this step), overlay them on a map of your world, and starting from the equator mark out all land areas above the given temperatures for each band in summer or winter, as specified.

Actually, rather than starting with the geographical equator, let’s mark the thermal equator for each season: This is the line near the equator with the highest temperature in each line of longitude. If you’ve got a lot of high terrain near the equator it might get a pretty jagged, but that’s alright for now.


Next, mark off the regions in each hemisphere which are at least 18 °C in winter. This is the tropical band, with Group A climate zones.


Next, in the remaining area mark off the regions which are at least 0 °C in winter. This is the temperate band, with Group C climate zones.
 
(On further review of Koppen climate zones, it appears that you should then remove any areas within this band that are less than 10 °C in summer, as these areas will be tundra. In most cases this should only appear in some equatorial mountain ranges).


Within the temperate band, mark off the regions which are at least 22 °C in summer. These are the hot-summer zones of the temperate band; remaining temperate regions are cool-summer zones.


Next, in the remaining area mark off the regions which are at least 10 °C in summer. This is the continental band, with Group D climate zones.


Within the continental band, take a time 2 months before or after peak summer (whichever is hottest) and mark off regions which are at least 10 °C. This is the humid continental zone; remaining continental regions are the subarctic zone.


Next, in the remaining area mark off the regions which are at least 0 °C in summer. This is tundra, the ET climate zone.


The remaining area, which is below 0 °C even in summer, is ice cap, the EF climate zone.


That settles the land climate bands, but while we’re here we can also mark off a couple of informal climate areas at sea:

Areas above 18 °C in winter can support coral reefs in shallow waters (presuming the temperature limits are the same as for reefs on Earth).


Areas below -2 °C in summer will have permanent ice sheets.


Remaining areas below -2 °C in winter will have seasonal ice sheets.


All this is enough to give us a general idea of the planet’s climate, and it’s at this point that we should decide whether to commit to this climate or restart with altered orbital characteristics or topography. If you’re in a hurry, you could stop here and try to determine climate zones by general location rather than simulating winds and precipitation; but for this tutorial, we’ll carry on to the end.

Step 5: Winds

Typical seasonal temperature (top), air pressure and winds (middle), and precipitation (bottom). (the original page where I got these animations has disappeared but is archived here and versions interpolated to higher resolution are also available here)

Further subdivision of Koppen climate zones requires precipitation data, which Clima-Sim doesn’t provide. Precipitation on Earth mainly originates in the oceans: water evaporates in warm seas, is carried inland, and then—if conditions are right—condenses and falls onto land. Sussing out the connections between temperature, pressure, wind, and precipitation can be tricky, and—as I’ve learned my self—trying to find simpler shortcuts can often have very misleading outcomes. But we’ll take it all step-by-step.

(When first published this tutorial contained a much different version of the next few sections. In retrospect, the methodology employed there was both too simple in concept and too complex in execution. This new approach sacrifices some precision—I’m leaning much more heavily on your personal intuition and artistry to divide up certain zones—but hopefully makes up for it in accuracy in more closely modelling the actual mechanisms of global climate).

Global Circulation

To start, we’ll mark out the likely location of the ITCZ in summer and winter. It should roughly follow the thermal equator, but a little more smoothed out so it’s not zigzagging through mountain ranges. Compare Earth’s seasonal thermal equators and ITCZs for reference:

Top: Seasonal temperature and thermal equator. Richter 2014. Bottom: Seasonal ITCZ. Mats Halldin, Wikimedia.

Here’s how I’ve marked them out for Teacup Ae (blue is the ITCZ, red is the thermal equator):


The tropical easterlies flow towards the ITCZ, not the equator, so as the ITCZ moves with the seasons the prevailing winds in the regions it passes over will switch direction. This is the primary cause of monsoon winds: onshore winds in summer bring rains, and offshore winds in winter cause dry conditions.

The further we get from the equator and towards the poles, the more our neat model of convection cell boundaries and prevailing winds becomes a suggestion rather than a law. Rather than a single high-pressure belt at the horse latitudes, we instead find a number of distinct subtropical highs.

These tend to be strongest over cold areas, so they’re best identified by patterns of ocean currents. In the current map you made back in Step 3, you should find a number of large ocean gyres between around 10° and 50° latitude, turning clockwise in the northern hemisphere and anticlockwise in the south. The cold, equatorward legs of these currents—which should lie along the western coasts of major landmasses—will create our subtropical highs, just offshore to the west. Like the ITCZ they’ll shift with the seasons, but more subtly; place them a bit further towards the equatorward side of the gyre in winter (centered around 25° latitude, depending on the overall extent of the gyre) and a bit towards the poleward side in summer (centered around 35° latitude).

Here they are for teacup, marked in red (with currents shown as well).


In addition to these ocean subtropical highs, high-pressure zones will also form over large landmasses in winter, thanks to lower temperatures. These are a bit harder to place, but in general:
  • A landmass is large enough to support such a high-pressure zone if it’s significantly cooler (~5-10°) than oceans at the same latitude.
  • Multiple nearby landmasses without warm oceans separating them can be counted as one landmass
  • The high-pressure zone will appear roughly in the center, but shifted towards any particularly cold regions (relative to latitude) such as large mountain plateaus.
  • They’ll generally be a bit further poleward than the ocean subtropical highs, and can even appear on landmasses near the poles.


If we wanted to, we could dig further into patterns of pressure and add low-pressure zones (which seem to form over continents in summer and high-latitude oceans in winter) but the rules there are even more vague and these high zones are sufficient to get a pretty good sense of prevailing winds.

Prevailing Winds

Prevailing winds are, as in the idealized models we’ve looked at before, a product of pressure and the Coriolis effect. Winds tend to blow from high to low pressure zones, but the Coriolis effect causes winds blowing north or south to deflect from a straight path; to the right in the northern hemisphere, and to the left in the southern hemisphere. On a world covered in homogenous ocean, this would create the neat convection cells of those models, but on a world of mixed continents and oceans we get a more complicated jumble of winds that bears some overall resemblance to the idealized case but deviates from it in many places.

To start off, we can mark the anticyclones. These appear over high-pressure zones as air moving down its pressure gradient is curved by the Coriolis effect. Though the path of a lone object in a vacuum might only be gradually altered by this effect, the interaction of many air masses on Earth accentuates the effect until air no longer moves directly out of highs but instead spirals tightly around them; turning clockwise in the northern hemisphere and counterclockwise in the south (same as the underlying ocean gyres). We’ll just mark winds in the cores of these anticyclones for now, and build them out from there:


Next, we’ll mark out the trade winds, or tropical easterlies, which dominate in the tropics. For the most part, they do actually behave as in the idealized models; blowing equatorward and curving towards the west until they meet at the ITCZ blowing nearly directly west. But there are a few wrinkles.

The trade winds mostly originate from the subtropical highs, so the position of these highs influences how steeply the winds approach the ITCZ, and where it passes before then. On the eastern sides of the highs, it’s typical for a wind to begin moving east and then curve around to the west.

You should have some winds crossing the equator from the winter hemisphere to the summer hemisphere. When this happens, the influence of the Coriolis effect switches direction, so rather than curving to the west, winds will curve to the east—and they can do so quite quickly.

Tall mountain ranges have a subtle effect on winds, corralling but not blocking them. Think of it like placing a block of wood in a small stream: if you place the block across the whole stream, the water will just build up and flow right over it; but if you place the block at a shallow angle across part of the stream, it will push the flow of water around it.

All that in mind, here’s how I’ve drawn with the trade winds for Teacup Ae (with the ITCZ shown in blue and the equator shown in red):


Moving out of the tropics, winds become altogether less regular and ordered. The general process here is to expand out the anticyclones, though with a generally stronger tendency for winds to move east or west rather than north or south.


However, neighboring anticyclones will of course produce winds at odds with each other, so somewhere between them (generally a bit closer to the anticyclone on the western side, especially over oceans) the opposing winds will meet in a front, separating the winds originating from either anticyclone. Because of the way winds spiral out of anticyclones, these fronts will usually appear in a slant, more equatorward in the west and more poleward in the east—though this is most true for neighboring highs at the same latitude.

I already had this in mind when drawing the winds, but here are the fronts shown explicitly, in purple.


Near the poles these wind patterns aren’t terribly consistent, but you might have easterly winds emerging from the pole in winter.

Upwelling

Before we move on to precipitation, there’s one subtle effect of prevailing wind worth noting here: Where the winds blow parallel to a coastline, they drag the underlying waters with them. When this happens over great distances, the Coriolis effect causes the path of the water to curve. If it curves offshore—which should happen where the coast is to the left relative to the wind direction in the northern hemisphere and to the right in the south—then this creates a suction effect which pulls water up from the deep ocean to the surface.

Wind/land orientations that result in upwelling in the north (top) and south (bottom) hemispheres.

This upwelling brings up a good deal of nutrients from the ocean floor, which is beneficial to plankton growth in coastal waters. This in turn provides more food for fish (or other aquatic life) and so increases catches for fishermen.

On the other hand, upwelling also brings up cold water, which inhibits coral reef formation save for in the warmest areas of the world close to the equator. Less importantly, it also causes fog on the nearby shore.

Winds shift with the seasons, of course, so upwelling may be seasonal; broadly speaking, the benefit to plankton and fish should be greatest in summer, when plankton is most productive, and the detriment to coral should be greatest in winter, when sea temperatures are closest to the minimum comfortable for coral (though close to the equator the seasonal temperature difference is minor save for in cases of high eccentricity or obliquity, but this is also where the warmest seas are so upwelling is less of a problem anyway).


In case you’re wondering, where winds blow in the opposite direction relative to the coast and the Coriolis effect pushes water into the shore, this causes downwelling; warm and nutrient-poor but oxygen-rich surface water is forced down into the deep ocean. This is important for global ocean circulation and deep sea life, but has no local effects on the surface worth concerning ourselves with here.

Step 6: Precipitation


Global average precipitation on Earth in each month. PZmaps, Wikimedia.
 
Precipitation requires both horizontal and vertical movement of air. First, horizontal motion in the form of winds is necessary to carry moisture from the oceans over the land. Then, upward motion of air is necessary to cause air to expand and cool, such that the moisture condenses as falls down as rain or snow.

We’ve already identified the winds, but the upward motion can be trickier to work out. All sorts of subtle effects and resonances can play into them, and lacking a complete simulation of global air flow we can only guess at how it all shakes out. But there are some common patterns we can follow. We’ll add rain in steps, each trying to account for one major influence on global rainfall, marking land regions as “very wet”, “wet”, or “dry”.

Warm Currents

First off, we’ll add rains extending downwind from all coasts affected by warm ocean currents. These currents don’t necessarily induce rain on their own, but they do induce high rates of evaporations and so create large masses of warm, humid air, that will produce rain at the slightest agitation—something we can assume will happen sooner or later in the chaotic atmosphere.

First off, compare your maps of currents and seasonal prevailing winds, and mark off all the ocean coastlines with onshore winds (even at a very shallow angle to the shoreline) on coasts that are influenced by warm currents (for this purpose, this includes the equatorial currents and countercurrents but not any other “neutral” currents outside the tropics). Don’t worry about coastlines on small seas totally or nearly isolated from the ocean (like the Caspian or Black seas); these don’t contribute much to the rainfall of the surrounding areas.


Then, in each season mark off the land regions by these coasts as “wet”, and carry the wet zone downwind until hitting a barrier to airflow:
  • A front or the ITCZ, where the air meets opposing winds blowing in a different direction.
  • High topographic relief. The air can follow a gradual slope up to around 4,000 m elevation, but if you encounter a steep mountain range then carry the rain up to the ridge and stop it there, leaving downwind regions as a dry rainshadow. For now, we’ll say this applies to any relief of ~1,000 m or more. But if there’s a small range, then winds may converge again downwind, such that the rainshadow is a small pocket rather than a strip across the whole continent.
  • If nothing else stops it, the rain will peter out about 2,000 km downwind from the coast it originated at. It’s pretty difficult to measure distance on a flat map like this, so it’s probably best to load up the map in GPlates and use the measuring tool there to judge this.

ITCZ, fronts, winds, and elevation at 1,000 meter intervals all shown for reference.

ITCZ

Strong upward motion of air occurs all along the ITCZ, and this combined with converging winds will tend to make it the rainiest area of the planet—though far inland there can still be rainshadow effects.

To simulate this, we’ll mark out a “zone of influence” (shown here in light blue) centered on the ITCZ extending north and south by about 15° latitude—but perhaps a bit wider on the western shores of large oceans, and a bit thinner near the subtropical highs (basically, make sure it doesn’t overlap the highs you’ve marked out, and where they’re nearby take a chunk out of the zone of influence).


First off, any pre-existing wet areas within this zone can be upgraded to very wet.


Next, add wet areas on coasts with onshore winds in this zone that don’t have them already (i.e., coasts with cold currents) and carry them downwind, following the same rules as before: don’t cross fronts of the ITCZ, don’t cross mountains, and don’t go more than 2,000 km downwind from the ocean.

You can also add a bit of extra wet area around the edges of the very wet areas; don’t feel compelled to add it around all the edges, but maybe carry the wet areas a little further inland and curving in a little tighter around the edges of mountains, and generally just smooth things out.

Fronts

Fronts occur when two mass of air of different temperatures come into contact; the hot air will rise over the cold air, and the upward motion encourages rain. Some fronts are stable, semipermanent features like the ITCZ, but many are unstable features that won’t last long but will form repeatedly in the same area and move through them. We won’t distinguish these here; we’ll just say that we expect some kind of front to appear in areas where equatorward and poleward winds are converging.

The process here is broadly similar as that with the ITCZ: Mark out zones of influence (shown here in purple) for each front where heavier rains will occur. These will generally be wider the further apart the centers of the anticyclones creating them are (representing more leeway for the fronts to move back and forth). They shouldn’t overlap the subtropical highs, and they shouldn’t extend too far into the zone of influence of the ITCZ, as the trade winds dominate there.


Again, any preexisting wet areas in these zones will be upgraded to very wet.

For visual clarity, preexisting very wet zones aren't shown.

And also again, add wet areas where there are onshore winds from coasts with cold current regions (even if that coast isn’t within the zone of influence, the winds will carry moisture into the zone so long as it isn’t more than 2,000 km downwind).


But remember that these fronts aren’t as stable or stationary as the ITCZ; imagine how the winds would change if the fronts moved to either side of the zone of influence, and where those winds could carry moisture to, then add wet areas there as well.

Orographic Rains

I’ve already explained these a little: when winds encounter high relief, the air is pushed upwards and water vapor rains out. Find areas of the world where winds encounter sharp relief of 1,000 meters or more, and mark out zones of influence (shown here in orange) within a couple hundred km of the upwind side—save only for regions close to the subtropical highs.


Once more, preexisting wet areas become very wet.



And new wet areas can be added anywhere where the oncoming winds haven’t travelled more than about 3,000 km from the sea (a bit more than usual, because this is a pretty strong effect) or already crossed a major mountain range.

Lee Cyclogenesis

Usually the downwind (“lee”) side of mountains have dry rain shadows, but occasionally the opposite can happen. When prevailing winds pass directly over a high mountain range, a low-pressure zone can form on the lee side. This draws in the surrounding air, creating a local cyclone (hence the name; formation of cyclones on the lee side of mountains). If there happens to be a large body of water nearby, this can draw moist air up onto the mountains, creating rain.

So look for areas of world that satisfy these conditions: winds passing nearly directly over high mountains (say, over 2,000 meters relief), and oceans within a couple hundred kilometers of the downwind side (the moisture still can cross over the mountains). There probably won’t be more than a couple cases across the planet (shown here in magenta).



Again, existing wet areas are upgraded to very wet…


…and new wet areas can be added extending from the coast to the mountains.

Polar Front

I mentioned before that you might expect to get some easterly winds near the poles, and a more complete model of winds might have added an extra high-pressure zone near the coldest area of the planet in winter, creating an extra set of fronts circling the world at high latitude. But this polar front is highly variable and mobile, more so than the local fronts at mid-latitude. Rather than a static feature it forms a wavy pattern of lobes that circle the world travelling east, bringing at least some rain to most areas at high latitudes.

To model this, we’ll mark a zone of influence (shown here in green) for the polar fronts extending from the poles. They’ll reach to about the poleward edge of the subtropical highs, around 40° latitude in summer and  30° latitude in winter, and we’ll take chunks out around the subtropical highs and the influence of the ITCZ; try to draw the resulting boundaries such that they roughly follow along the lines of prevailing winds.



The polar front is a weak and transient feature, so we won’t add any very wet areas. But we will add wet areas extending inland from all coasts, even with offshore winds; carry these wet areas about 2,000 km downwind, 1,000 km upwind, and 1,500 km across winds.


That about wraps up our mapping of precipitation; any remaining areas can be marked as “dry”.



This whole methodology is, of course, not terribly precise, but it is about as accurate as we can reasonably get without access to better software and the computing power to run it. It is, at any rate, good enough to get something approaching the overall patterns and diversity of climate we see on Earth If you’ve done everything right, you should end up with large zones of high precipitation along the ITCZ well into the interiors of continents, on mid-latitude east coasts and high-latitude interiors in summer, and on high-latitude west coasts in winter.

This last step gives us the final bit of information we need to finish up the climate mapping. But don’t throw out the other maps you’ve made along the way; in particular, ocean currents and prevailing winds will direct ocean trade by sailing ships later on.

Step 7: Climate Zones

The precipitation data in the last step isn’t precise enough to map out all out climate zones, but it can gives us some good guidelines to work some.

First off, our tundra (ET) and ice cap (EF) zones can be left untouched; precipitation matters little in these cold climates, though we can generally expect them to be fairly dry.


Next, we’ll deal with the arid regions in the remaining land; those that are dry in both summer and winter. These will be Group B climates: desert (Bw) or steppe (Bs).

We can mark them as desert by default, and then fill in the edges with steppe; there should always be some steppe between deserts and other climate zones (but there need not be steppe between deserts and the sea). On flat ground, the steppe will appear in boundary strips about 100-300 km wide in the tropics and twice as wide at higher latitudes, and small patches of arid land can be completely filled in with steppe.

In mountains the boundary thins, and on steep mountain slopes it can thin down to just a few kilometers. Low highlands with shallow slopes will tend to have the opposite effect, though, creating broader regions of steppe and patches of desert.


Once that’s done, we can divide them up by temperature: Deserts and steppes in the tropical and temperate climate bands will be hot desert (Bwh) and hot steppe (Bsh); those in the continental band will be cold desert (Bwk) and cold steppe (Bsk).


Remaining areas in the continental band can be left as-is, as humid continental (Dsa/Dsb/Dwa/Dwb/Dfa/Dfb) and subarctic (Dsc/Dsd/Dwc/Dwd/Dfc/Dfd) zones.


Next, remaining areas in the temperate band will contain Group C climates. Mark areas that are dry in summer (but still wet or very wet in winter) as mediterranean (Csa/Csb/Csc). Remaining areas (that are wet or very wet in summer, regardless of their condition in winter) will be humid subtropical (Cfa/Cwa) in the hot-summer regions and oceanic (Cfb/Cfc/Cwb/Cwc) in the cool-summer regions.


Finally, the tropical band, which is a bit trickier. These will be Group A climates: tropical rainforest (Af), tropical monsoon (Am), and tropical savanna (Aw/As).

We’ll start out by marking out areas that are very wet in both seasons as tropical rainforest (Af), areas that are wet in both seasons as tropical monsoon (Am), and areas that are wet in one season and dry in the other as tropical savanna (Aw/As).


The remaining areas will be split between zones: Areas that are very wet in one season and wet in the other will be tropical rainforest (Af) near the equator and transition to as tropical monsoon (Am) near the edges of the tropical band and arid zones. Areas that are very wet in one season and dry in the other will be tropical monsoon (Am) near coasts, mountains, and rainforests and tropical savanna (Aw/As) inland and near arid zones.

You should try to make sure that there is a continuous sequence of rainforest-monsoon-savanna-arid zones (though the transition can be pretty sharp in mountains), and you can touch it up at the end to ensure this.


A couple final adjustments we can make:
  • The ITCZ will pass through the areas between it’s seasonal extremes, bringing rain to areas near the equator currently marked as dry. This should shrink the arid zones near the equator and expand the tropical savanna and to some extent the tropical monsoon zones, but not the rainforest, which requires high year-round rain (and also other wet zones in areas near the equator outside the tropical band). This should create a more-or-less continuous wet band across the equator, except for where there are strong rainshadows.
  • Conversely, the way I’ve handled rains near the ITCZ can cut into deserts a bit too much near the coasts. Where there are large deserts at mid-latitude (around 20°) make sure they extend all the way to the west coast.
  • Some of the high-latitude deserts here have also come out looking a bit odd—largely because it’s hard to judge distance at high latitude in this projection—so I’ll go ahead and adjust those a bit as well.


And that about wraps it up. Of course, this whole process isn’t perfect, so if you end up with something that doesn’t seem quite right (odd patches of desert or steppe, a dearth of Mediterranean zones, etc.) or you just want something slightly different, then by all means you can adjust the boundaries between climate zones without sacrificing much in terms of realism. Winds in the Ferrel cells in particular are pretty irregular, so this method may be a little over-deterministic regarding precipitation at mid-latitudes. But for my part, I think this map of Teacup Ae works just fine (though I may adjust it somewhat when I add more detailed topography).

Optional Extensions

These 14 zones include all the most important variations in climate, and the accuracy of hand-drawn precipitation zones is probably too low to make more granular climate zone distinctions with any confidence. But if you really want to have the full set of 31 Köppen climate zones, here’s a procedure that should more-or-less work:

Tropical Savanna (Aw/As): Even formal sources mapping Earth rarely make this distinction, but you can mark areas that are dry in summer as As, and leave the rest as Aw (though also bear in mind the extra savanna you added near the equator for where the ITCZ passes over, which should remain Aw).

Mediterranean (Csa/Csb/Csc): Regions in the hot-summer areas of the temperate band are Csa; regions in the cool-summer areas are Csb if they are above 10 °C at 2 months before or after peak summer, and Csc if they are not.

Humid Subtropical (Cfa/Cwa): Regions that are dry in winter are Cwa, remaining regions are Cfa.

Oceanic (Cfb/Cfc/Cwb/Cwc): Regions that are above 10 °C at 2 months before or after peak summer are Cfb or Cwb, those not are Cfc or Cwc; Regions that are dry in winter are Cwb or Cwc, those not are Cfb or Cfc. Determine zones by overlap of these temperature and precipitation boundaries.

Humid Continental (Dsa/Dsb/Dwa/Dwb/Dfa/Dfb): Regions that are dry in summer are Dsa or Dsb, those that are dry in winter are Dwa or Dwb, remaining areas are Dfa or Dfb; Regions that are above 22 °C in summer are Dsa, Dwa, or Dfa, those that are not are Dsb, Dwb, or Dfb.

Subarctic (Dsc/Dsd/Dwc/Dwd/Dfc/Dfd): Regions that are dry in summer are Dsc or Dsd, those dry in winter are Dwc or Dwd, remaining areas are Dfc or Dfd; Regions that are above -38 °C in winter are Dsc, Dwc, or Dfc, those that are not are Dsd, Dwd, or Dfd.

Note the pattern in the letter designations here: For the second letter, s zones have dry summers, w zones have dry winters, and f zones have no dry season; For the third letter, a zones have summers above 22 °C, b zones have summers above 10 °C extending to 2 months before or after peak summer, c zones have winters above -38 °C, and d zones have colder winters.

Generally speaking, you should expect to see Ds zones mostly near Mediterranean zones, and Dw zones mostly near regions with a strong monsoon effect (where the ITCZ has moved far from the equator) so you may need to make some adjustments if you see large regions of them in odd places.

Here’s the complete map of all Köppen climate zones for Ae (29 zones, as there are apparently no Dsc or Dsd zones on Teacup Ae), plus the 4 ocean zones I’ve added.

Impacts of Climate

Now that we’ve done all that, let’s take a tour of these climate zones to get a feel for what kind of life we might see in them and what impact they’ll have on the development of civilization (in broad strokes; I’ll dig deeper into the distribution of natural resources, terrain types, and the cultural impact of climate in later posts). I’ll also include the formal definitions for these zones, which I had to simplify for this tutorial, and some examples from Earth.

A: Tropical Climates

Monthly average temperatures at least 18 °C year-round.

Tropical Rainforest (Af) 

At least 2 mm/day of average rainfall every month of the year.

Examples: Central Amazon; Central Congo; Borneo; Singapore.

Conditions: These are hot, wet regions with no dry season. Average temperatures above 25 °C and rains above 10 mm/day are common. Near the equator, average temperatures are near-constant but there are often still wet and dry seasons as the ITCZ moves. Regions nearest the center of the tropical band will have low winds and wet equinoxes with dry solstices, while further poleward regions are more influenced by strong trade winds and have a more pronounced cycle of wet summer solstice and dry winter solstice.
 
Guadeloupe. Mart.wain, Wikimedia
Ecology: These are the most diverse regions of the planets; a single square kilometer can include trees from over 1,000 species. Consistent rain and sunlight support dense forests, but the rain also leaches nutrients from the soil; competition for light and nutrients amongst plant life is fierce. So little light penetrates to ground level that, aside from tree trunks, it’s fairly clear of vegetation. A single area of rainforest can often be divided vertically into distinct microbiomes dominated by different species. Climbing, jumping, gliding, and flight are common adaptations to allow travel between trees without descending to the ground.

At higher elevations—above 500 m or so—rainforests tend to have shorter trees and thicker undergrowth. Where the elevation is high enough for clouds to be below canopy height, cloud forests form, with frequent fog and extremely moist conditions that support mosses and ferns.

Conversely, at low elevation broad swamps can form along riverbanks, with permanent or seasonal shallow water over the forest floor.

Society: Beneficial though rainforests are to wildlife, from a human perspective they’re more hostile. Hunter-gatherer tribes can thrive on the high productivity and moderate seasons, but to technological societies these are barriers. Thick plant growth and extremely wet conditions make travel difficult except by foot, and these regions still include some of the least accessible areas on Earth. There will typically be large rivers that make convenient avenues for travel, but these are often bordered by broad swamps and thick vegetation that make landings difficult. Diverse diseases, parasites, and predators are further hazards.

Of course, it’s hard to say how much of this is inherent to rainforest climates, and how much is a result of societies from temperate climates trying to apply technology developed there to a new environment.

Frequent heavy rain is a challenge for construction and sanitation, but also leaches nutrients from the soil, making agriculture difficult, but not impossible. Inhabitants often use “slash-and-burn” farming, clearing an area of land to farm for several years, then leaving it to regrow while moving to a new location. While this is sustainable in principle, growing demand for food, in combination with logging, has led to mass deforestation.

Even when uncultivated, the high diversity of rainforest life makes them an excellent source of new edible fruits (including bananas, sugarcane and possibly papayas) and medicines. They are also the original source of rubber plants, and much is still grown there.

Tropical Monsoon (Am)

Less than 2 mm/day but more than (100 – [total annual precipitation (mm)] / 25) mm total rain in the driest month of the year.

Examples: Southwest Indian coasts; Sierra Leone; Miami, Florida.

Conditions: This zone can be divided into two subtypes: Areas on the perimeters of rainforest zones that have similar wet and dry seasons that are somewhat more pronounced; And areas affected by monsoon wind patterns that have extremely wet summers—sometimes over 30 mm/day—and dry, sometimes rainless winters (winter months with no rain still satisfy the requirements if total annual rainfall is over 2,500 mm).

Varandha Ghat, India. Cj. samsom, Wikimedia

Ecology: Those areas bordering tropical rainforest are largely indistinguishable from them. Vertical microbiomes are less distinct, while more pronounced wet and dry seasons may lead to seasonal flooding. In areas caused by monsoon wind patterns, the severe dry season may favor woodier plants and vines, but in general the intense summer rains are sufficient to sustain thick forests.

Society: Once again, largely indistinguishable from rainforests. Farmers do have to take the seasonal rains into account and avoid planting crops too early before the wet season.

Tropical Savanna (Aw/As) 

Less than (100 – [total annual precipitation (mm)] / 25) mm total in the driest month.

Examples: Serengeti; Bangkok, Thailand; Havana, Cuba.

Conditions: As with the monsoon zone, there are two major subtypes: Regions on the perimeter of large rainforests, with moderate wet summers and dry winters, and regions affected by monsoon wind patterns that have very wet summers—sometimes over 10 mm/day—and dry winters. Moving poleward from the center of the tropical band, the dry season gets progressively longer and the wet season progressively shorter, especially on west coasts and interiors that eventually transition to steppes and deserts.

As regions are dry in summer and wet in winter due to rainshadow effects, but seasonal temperature variation is so low that this has little practical impact. There is some temperature variation, though: from around 20 °C in winter to 25 °C in summer.

Serengeti, Tanzania. Harvey Barrison, Wkimedia

Ecology: In spite of the name, this zone is not all open ground, and indeed it includes a large range of biomes; regions near rainforest or monsoon zones with short dry seasons will often have similarly lush forests. Areas with longer and more severe dry seasons will transition to deciduous forests, that drop their leaves in the dry season to conserve water—this lets more sunlight reach ground level, causing thicker undergrowth. These forests have less diversity than rainforests, and individual species have wider ranges. All life must adapt to long winter droughts. These forests are also more prone to large fires.

Finally, the driest areas transition to grassland, savanna (grassland with scattered trees) and shrubland. Large grazing herbivores and their associated predators and scavengers are common, many of them migrating long distances to avoid the dry seasons. Wildfires are common enough that many species have specifically adapted to survive or take advantage of them; grasses grow deep roots to allow them to regrow after burns, and fast-moving predators hunt the animals fleeing the flames. Water can become a rare commodity in the dry season, with life concentrating around dwindling sources.

Society: Humans first developed in savannas, and were in many ways shaped by the need to effectively move, scavenge, and hunt there. Many of the last remaining hunter-gatherers still live there, though this is largely because low rainfall makes these areas poor farmland.

Farming is still possible, and wetter areas are used for growing tropical plants like sugar and rubber, but the dry grassy areas lend themselves better to use as pasture land for cattle. Maize (a.k.a. corn) may have first developed and been cultivated in this climate zone, and some is still grown there today—though the major centers of maize cultivation have moved to the humid continental zone. Sorghum, cassava, sweet potatoes, and some types of yams also likely originated here, and remain staple crops in much of the zone today.

B: Arid Climates

Annual average precipitation below ([annual average temperature (°C)] * 20 + [280 if >70% of precipitation are in 6 hottest months, 140 if 30-70% of precipitation are in those months, 0 otherwise]) mm/year (definitions for the other climate groups implicitly exclude regions with precipitation this low).

Hot Desert (Bwh) 

Annual precipitation less than half the threshold for arid climates, monthly average temperatures above 0 °C in all months (Some sources use annual average temperature above 18 °C for the hot/cold distinction instead).

Examples: Sahara; Arabian Desert; Cairo, Egypt; Phoenix, Arizona.

Conditions: The driest regions of the world; some areas can go years without any rain. When rains do happen, they’re typically brief and intense. Average temperatures are lower than equatorial rainforests, but highly variable and so these areas have the hottest summer temperatures: Average summer temperature is often over 30 °C and peak temperature can exceed 50 °C. But in winter average temperatures drop to around 15°, and daily temperature ranges can exceed 20 °C—meaning that nights can drop below 0 °C, if infrequently.

Even cloud cover is generally uncommon, though areas near western coasts are notably cooler (closer to 20 °C in summer) and have frequent fog due to the influence of cool ocean currents—not that this increases precipitation much.

Sand and dunes only cover 1/5 of global deserts (hot and dry); much of the driest areas are covered in closely packed rocks resembling cobblestones or bare bedrock, and areas of soil and mud exist as well.

Sahara, Libya. Luca Galuzzi, Wikimedia

Ecology: Life is rare, but not absent. Relatively wet areas can support shrubs, cacti, and even trees, though all tend to be woody with small leaves. Much of the animal life burrows underground to avoid midday heat, and all life has adapted to minimize water loss. Rare heavy rains can cause brief growths of grass and flowers, which release seeds that will remain dormant until the next opportunity. In regions with fog, plants specialize to extract moisture from dew rather than rain.

But in the very driest regions, life is largely restricted to passing migratory species.

Society: Deserts are, for the most part, essentially uninhabitable. Barring an alternative source of water besides rainfall, agriculture is impossible, and much of the desert is covered in shifting sand or bare rock that couldn’t support crops even with water.

Notable exceptions are regions with large rivers flowing in from wetter areas, such as the Nile, Indus, or Tigris and Euphrates. Despite the lack of rain, seasonal flooding of these rivers provides sufficient moisture and nutrients for growing crops, and uninterrupted sun by day lends itself to very productive agriculture. Thanks to this many of our earliest civilizations emerged in desert climates (though some may have been slightly wetter at the time) and so desert zones ironically included some of the most agriculturally productive areas of the ancient world.

Elsewhere, oases fed by underground aquifers also provide small islands of habitability and goop crop productivity. Hilly and mountainous regions can also have sheltered river valleys, though in those areas flash flooding during heavy rains is a concern.

Away from these water sources, permanent settlements are rare. Nevertheless, various societies have at one time or another found it necessary to cross deserts for migration, trading, warfare, or resource extraction. Caravans trace routes between oases and wells, and control of these routes has often been a major strategic and economic concern for neighboring societies. Sometimes the traders themselves can become distinct nomadic societies.

In spite of these connections, large deserts can be significant barriers to the spread of societies, culture, and technology.

Cold desert (Bwk) 

Annual precipitation less than half the threshold for arid climates, average temperature below 0 °C part of the year.

Examples: Gobi Desert, Patagonia, Great Basin Desert.

Conditions: These regions generally still have hot (15-20 °C) summers, but freezing winters. Snow is rare but possible. Daily temperature ranges are large just as in hot deserts, and clouds uncommon; Given that they’re formed mostly by rainshadow effects, few deserts of this type border the sea.

Gobi Desert, Mongolia. Doron, Wikimedia
Ecology: Similar in most ways to hot deserts. Peripheral areas can support grasses and shrubs, and milder summer temperatures benefit plant life. But life here has to contend not only with hot days, but cold nights and winter frosts as well.

Society: Because these regions are typically far inland, they rarely have large rivers running through them and so are less likely to feature the productive river floodplains that hot deserts do. Like hot deserts, trade and movement across these areas is difficult but often necessary. Just as for wildlife, milder summers are easier to contend with but cold nights are more hazardous.

Hot steppe (Bsh) 

More than half the precipitation threshold, above 0 °C in all months (again, some sources use 18 °C annual temperature as the hot/cold boundary).

Examples: Sahel; Lahore, Pakistan; Monterrey, Mexico.

Conditions: Somewhat wetter than hot deserts and bounding them on all sides. Summer temperatures and daily temperature variation are generally lower than for deserts, but not by much. Steppes on the equatorward side of the desert belts have relatively wet summers and dry winters, while those on the poleward side have dry summers and wet winters like the Mediterranean zone. There are also areas affected by monsoon winds that can have brief, intense wet summers with rains over 5 mm/day, and rainless winters (these aren’t well represented by this tutorial, but are small in extent).

Sahel, Mali. NOAA

Ecology: These are, like savanna, transitional zones; the wettest regions can have scattered deciduous forests, while the driest are nearly as barren as deserts. The forests are only common in areas affected by monsoon patterns, and are dominated by woody plants; in most of this zone, grassland and shrubland dominate. Herding animals and associated species can be common in the wet season. As in tropical savanna, wildfires are common.

Society: Despite the low precipitation, agriculture is possible and even quite productive on the banks of large rivers—though these aren’t as vital as for deserts. Some varieties of millet may first have been cultivated here. Pastureland can also be productive here. Unlike most desert areas, agricultural productivity is high enough and access to water easy enough that widespread settlement is possible even far from major water sources.

Cold steppe (Bsk) 

More than half the precipitation threshold, below 0 °C part of the year.

Examples: Central Turkey; Central Spain; Denver, Colorado.

Conditions: These regions have more consistent moderate precipitation throughout the year than hot steppes, and subfreezing winter temperatures, so they do usually have some snow in winter. Outside of the Hadley cell, precipitation more often comes in the form of distinct storms than daily rain. Some of these regions appear in highlands as a transition from wetter lowland climates to dry mountain plateaus.

Badlands National Park, South Dakota. Wing-Chi Poon, Wikimedia

Ecology: Again, these are mostly grasslands and shrublands, and include American prairies. Mild summers makes evaporation slower than in hot steppes and these areas are generally more hospitable to life without adaptations for hot and dry conditions. Large herding animals and small burrowing animals are common.

Society: This is the arid zone most hospitable to widespread settlement. Productive agriculture is possible even far from major rivers, and potatoes may have originated in highland areas of this zone. Dryer areas are still more often pastureland. Population density is generally low, but large cities are more common than in deserts or hot steppes.

C: Temperate Climates

Coldest month between 0 °C and 18 °C, hottest month above 10 °C (some sources use -3 °C in the coldest month as the temperate/continental distinction instead).

Mediterranean (Csa/Csb/Csc) 

3 times more rain in the wettest month of winter than the driest month of summer, driest month in summer below 1 mm/day.

Examples: Coastal Mediterranean (big surprise); US west coast; Cape Town, South Africa; Santiago, Chile.

Conditions: In many ways a transition between arid steppes and more humid temperate climates, and somewhat unusual in having significantly wetter winters than summers due to the alternating influence of the horse latitudes and the polar front. More equatorward regions (Csa) resemble steppes in many ways: hot summers (25 °C ) with high temperature variability (10 °C), and low rains even in the wet season (<3 mm/day). Further poleward or at higher altitude (Csb/Csc), temperatures are more moderate and winter rains can exceed 5 mm/day, with occasional snowfall. Where these regions lie on the coasts of major oceans, cold currents cause frequent morning fog.

Rarely does this climate zone reach far from the coast; it’s only because of the particular position and geography of the Mediterranean sea on Earth (And the southwest coast of Hutton on Teacup Ae) that it covers so much area. A notable exception is in highlands in the tropical or desert belts, where seasonal rainshadows can create the requisite dry summer/wet winter cycle.

Peñón de Alhucemas, Spain. Kokopelado, Wikimedia

Ecology: Though small in extent, the life in these regions is very distinct. Hot, dry summers favors life adapted for steppes, but high average precipitation and mild temperatures favors life from other temperate zones. Much of the zone has a “mosaic” landscape, with small areas of forest, savanna, shrubland, and grassland mixed together. Small variations in access to water in summer can be very impactful; wooded streambanks often exist in close proximity to grassy hilltops. Evergreen, deciduous, and coniferous trees are all mixed as well, though with some division by latitude and altitude. Equatorward, low-altitude mosaic landscape gives way to poleward, high-altitude pine forests.

Animal life is similarly a mix of groups also seen in tropical and temperature climates. This zone tends to lack the large migratory herding animals more common in steppe zones, but do retain the small burrowing animals. Cold-blooded animals that can’t withstand cooler poleward winters are common here.

Despite the broad milieu, most life has some adaptation to the dry summer conditions, as well as the frequent wildfires. Small shifts in average rainfall can dramatically increase the proclivity to fierce fires in forest areas.

Society: Though civilization didn’t begin here, many early large societies did develop in the Mediterranean zone—though only in the areas around the eponymous sea. It’s a bit early in this series to speculate on exactly why, but perhaps a mix of very mild winters and wet enough conditions for easy agriculture can be credited. Today this zone is widely regarded as among the most comfortable regions, and tourism is popular.

Wheat, barley, and rye all likely originated in this zone, and possibly oat as well; the short wet seasons and long, hot dry seasons seem to lend themselves to the development of plants that grow quickly and produce durable, easily stored seeds. Olives and grapes are also widely grown, and wine and beer were likely first developed here. These are not the most productive regions today but are known for the wide diversity of foodstuffs they produce.

Humid Subtropical (Cfa/Cwa) 

Hottest month above 22 °C, above 1 mm/day average precipitation in all months of summer.

Examples: Southwest China; Southwest USA; Milan, Italy; Johannesburg, South Africa.

Conditions: As the name implies, these are wet regions, in some cases comparable to rainforests in summer (>6 mm/day) but also including more moderate regions (3 mm/day). The major distinction is between the main (Cfa) regions with consistent rains throughout the year, and monsoon-infuenced (Cwa) regions with 10 times more rain in their wettest month than their driest month. The former dominates in the main areas at mid latitude on eastern coasts, while the latter appears in highlands and areas with monsoon wind patterns.

Summers are, by definition, quite hot, and rarely do winters drop below freezing. Thunderstorms are common, and these areas are often the most prone to hurricanes and tornadoes.

Bayou Corne, Louisiana. jc.winkler, Wikimedia

Ecology: Much of this zone is dominated by dense forests of evergreen plants, especially close to the border with the tropical band. Density of vegetation can be comparable to tropical rainforest, with fierce competition for sunlight and canopies blocking most sunlight, though vertical microbiomes aren’t as distinct. These regions are so moist that many plants have to adapt to shed water rather than retain it. On flat ground, swamps are common on coastlines and along rivers.

More poleward, less packed forests predominate and there are more areas of open ground. In the driest areas forest can give way to grassland, though these are less extensive than for the Mediterranean zone.

Society: To some extent the more equatorward areas present much of the same hazards as tropical rainforests: dense plant growth, heavy rains, risk of disease, etc. But temperatures are milder and soil quality is notably better; some of the earliest agriculture began here, and these remain among the most productive farming regions in the world. Rice and soybeans originated in this zone and are still mostly grown here today. 

Oceanic (Cfb/Cfc/Cwb/Cwc) 

Hottest month below 22 °C, above 1 mm/day precipitation in summer.

Examples: British Isles; North and central France; New Zealand; Vancouver, British Columbia.

Conditions: This is probably what leaps to mind when most people imagine a “temperate climate”, with mild temperatures, consistent rains, and strong but not extreme seasons. The major subtypes, from most equatorward to most poleward are subtropical highland (Cwb), which appears in highland regions in the tropics and so has consistent average temperatures across the year (15-20 °C) but high daily temperature ranges (15 °C), and very distinct wet summers (5 mm/day) and dry winters (<1 mm/day); marine (Cfb), the dominant form at mid latitudes, with mild summers (15-20 °C) and winters (5-10 °C), consistent rains throughout the year (2-5 mm/day), and occasional but not persistent frost and snow; and subpolar (Cfc/Cwc), in small areas in mid-latitude highlands and high-latitude coasts, which are broadly similar to marine but 5-10 °C cooler throughout the year, with winter nights regularly below freezing.

Moor, England. dennisredfield, Wikimedia

Ecology: This zone is predominantly forest, with a mix of evergreen, deciduous, and coniferous trees. Trees are lower and the canopy less packed, so there’s more undergrowth here than in more equatorward forests. Some of the wettest areas on the coasts feature temperate rainforests, with consistent intense rains and high canopies.
Large herbivores and predators are fairly rare. Average temperatures are low enough that cold-blooded species are also rarer than in other temperate zones, with small- and medium-sized warm-blooded forest animals dominating.

This zone also includes many montane forests and grasslands at lower latitudes, which have an unusual combination of low temperatures and intense sunlight. At lower altitudes these regions include some of the cloud forests mentioned earlier, while at higher latitudes they give way to shrubs with waxy surfaces to retain moisture. High winds and little available soil become a major obstacle, and so plants tend to be low and slow-growing.

Society: Agriculture and dense cities were slow to arrive in these areas, but in more recent times this region has hosted major centers of industry and urbanization. Neither summers nor winter are harsh, agriculture is reliable, and there are no major terrain hazards; dense forests and swamps can create some geographic barriers but not to the same extent as rainforests in warmer climates. Harsh winter blizzards and frosts are not the norm, but frequent enough to be a hazard to life here without proper shelter.

D: Continental Climates

Coldest month below 0 °C, hottest month above 10 °C.

Humid Continental (Dsa/Dsb/Dwa/Dwb/Dfa/Dfb) 

At least 4 months above 10 °C.

Examples: Poland; Northeast USA; Seoul, South Korea; Moscow, Russia.

Conditions: In many ways this climate resembles the temperate zones, but with 3-5 months with subfreezing temperatures. The subtypes are hotter (Dsa/Dwa/Dfa) and cooler (Dsb/Dwb/Dfb) areas with precipitation patterns resembling those of mediterranean (Dsa/Dsb), monsoon-influenced humid subtropical (Dwa/Dwb), and marine oceanic (Dfa/Dfb) patterns, though precipitation patterns are overall less impactful here to life and society.

Heavy winter snows are common, and oscillations in the position of the polar front in winter tends to cause cycles of milder and colder periods.

Table Mountains, Poland. Poconaco, Wikimedia

Ecology: This is a very broad region, encompassing dense forests, broad grasslands and prairies, and highland shrubs. The unifying element is the strong seasonality; long, hot summers provide plenty of time for growth, but all species need some adaptations for the subfreezing winters. Trees are predominantly deciduous—shedding vulnerable leaves in winter—or coniferous—with smaller, tougher leaves such that they can be retained year-round. Many animals either migrate, leaving for warmer climates in winter, or hibernate, minimizing energy consumption.

Cold-blooded animals are not absent but uncommon and small, and many animals have some insulating fur or feathers to protect from the cold—sometimes with alternating long and short coats that are grown and shed with the seasons. In some of the more open areas, herds of migrating herbivores and their associated large predators and scavengers are common, somewhat akin to those in tropical savanna despite the vastly different climate conditions.

Society: Though agriculture was slow to come to this zone (excepting perhaps some highland areas in the near east) it now includes some of the most agriculturally productive areas in the world. Some varieties of East Asian millet likely originated here. Much of the world’s lumber production also occurs in this zone.

Strong seasonality is the hallmark of this zone. Warm summers bring good growing seasons, but the harsh winters are a consistent challenge. Spring and fall also tend to be accompanied with “mud seasons”, when heavy rains or snow melt combined with little sunlight and cool temperatures causes large amounts of standing water and mud to cover much of the ground. Travel in these times is difficult in areas without paved roads.

Subarctic (Dsc/Dsd/Dwc/Dwd/Dfc/Dfd) 

No more than 3 months above 10 °C.

Examples: Central Finland; Siberia; Anchorage, Alaska.

Conditions: Shares essentially all of the same subtypes as humid subcontinental, but they’re even less impactful here. Summers are usually around 15 °C, but winters can plunge below -30 °C, and much of this zone spends more time below freezing than above it. For the most part precipitation is lower than in temperate zones, but not as low as steppes.

Alaska Range, Alaska. NOAA

Ecology: This zone is dominated by taiga, A.K.A. boreal forest, vast stretches of forest dominated by a relatively small number of mostly coniferous trees; biodiversity is much lower here than in warmer forests. Summers may be short, but the days are long, and much of the life here is adapted to take advantage of the sun even in cold conditions. Though rainfall is low, slow evaporation and melting snow make for moist conditions, so moss and lichen are common.

There is little biological activity in winter; plant life falls dormant, and animal life either migrates away or hibernates.

Society: Agriculture here is possible, but fairly unproductive. Hunting, trapping, and fishing are more reliable sources of food in many areas, and lumber and fur production are major industries. Population density is generally fairly low and infrastructure undeveloped. These are marginal areas, with most activity concentrated on survival rather than, say, empire-building.

E: Polar and Alpine Climates 

All months below 10 °C.

Tundra (ET) 

Hottest month above 0 °C.

Examples: Coastal Greenland; Central Himalayas; Central Alps.

Conditions: Brief summers and long, cold winters often plunging to below -50 °C. Precipitation is generally low, even lower than steppes and deserts in warmer areas, though low temperature means that evaporation is slow so this has little bearing on surface conditions. Snow covers the ground through much of the year, but does melt in summer.

Most of these areas are around the periphery of the ice caps, but they also occur in high, isolated mountain plateaus, even close to the equator, and these areas have milder winters.

Sydkap, Greenland. Hannes Grobe, Wikimedia
Ecology: Some taiga reaches into this zone, but for the most part it’s a barren environment limited to grasses, shrubs, mosses, and lichen. This is due not only to low surface temperature, but permanently frozen soil less than a meter below the surface. Some large grazers and predators can pass through in summer. Almost all life is warm-blooded.

The seas are far more productive, and so some of the coastal areas are populated by amphibious or flying predators, and some predators and scavengers preying on them.

Society: As with animal life, most human life in these areas are dependent on the sea, so settlement is largely limited to coastal fishing villages. In inland areas, some settlements can survive on hunting or raising livestock that can feed on the limited grasses and shrubs.

Ice Cap (EF) 

All months below 0 °C.

Examples: Antarctica; Central Greenland; Mount Everest.

Conditions: As you’d imagine, this area is permanently covered in ice; often large, thick glaciers. Average temperatures in the interior are often below -30 °C, and precipitation is comparable to deserts. Some isolated valleys can remain ice-free due to many years with no snow.

Lake Fryxell, Antarctica. National Science Foundation

Ecology: Little life to speak of. Plant growth is impossible, so for the most part the only source of food is the sea. The inland areas are populated solely by passing amphibious or flying predators, and some marginal microbes.

Society: Again, not much. There are no permanent settlements here save for research stations, which have to be supplied from elsewhere. Harsh winter storms and glacier crevices are extreme hazards.

Biomes and Biogeographic Regions

As I mentioned near the start—and as should have become clear in the last section—the climate zones don’t perfectly predict the biomes of a world. Development of distinct biomes depends on factors like evaporation, soil quality, and water supplies other than precipitation. There are some alternative climate zone systems, like the Holdridge system, that better account for these factors, but require more precise data or calculations that are impractical to do by hand.

One breakdown of Earth's biomes. Ville Kroistinen, Wikimedia

Still, the differences aren’t too great, and having a little authorial freedom to determine the precise biome types isn’t exactly the worst burden. I think I’m comfortable settling for the Köppen system as a template for Teacup Ae’s climate.

But one other factor we can determine now is the breakdown of biogeographic regions. These are, in a sense, the ecological equivalent of continents: large areas divided by barriers like deserts, mountains, or seas, or by the sharp transition between temperature and tropical climates, and each represents an area within which successful types of land animals or plants can circulate on short evolutionary timescales; put another way, different regions with the same climate may have similarly structured ecosystems, but will have different groups occupying the same niches.

Earth's major biogeographic regions (save for Oceania and Antarctica). carol, Wikimedia

To mark them out, group together clusters of continents and islands, and divide them roughly along the desert belt or the tropical-temperate boundary, save for in cases where the tropical or temperate areas of that cluster are too small to have much diversity of their own. Regarding islands, try to take geological history in mind; areas recently split from the mainland are likely to still have similar life, and may still have shallow waters separating them or may become connected again in times of low sea level.

That in mind, here’s how I’ve broken down Ae, along with some names for the biogeographic regions for later reference. When we think about wildlife in a later post, this will help give us an idea for how to distribute them.

In Summary

  • Climate zones can be classified based on temperature and precipitation patterns across the seasons.
  • The atmospheric convection cells and associated prevailing winds cause major climate bands:
    • Rainforest near the equator.
    • Deserts near the horse latitudes, except on eastern coasts.
    • Temperate at mid latitudes.
    • Tundra and ice caps near the poles.
  •  Large mountain ranges can cause high rains on their windward sides and dry rainshadows on their leeward sides.
  • Ocean currents bring warm waters to western coasts at high latitudes and cool waters to eastern coasts at high latitudes and western coasts at low latitudes.
  • High mountains have climates more typical of higher latitudes (by about 8° latitude per km elevation).
  • Oceans form ice sheets when they drop below -2 °C
  • The ITCZ and other convection cell boundaries move with the seasons, causing monsoon rains and similar patterns.
  • Prevailing winds are caused by a combination of the atmospheric convection cells and local pressure zones caused by surface temperature.
  • Winds carry moisture inland from the coasts, causing precipitation thaat generally decreases further inland, save for where it is increased by converging winds and orographic rains.
  • Köppen climate zones are defined by temperature and precipitation patterns across the seasons: (notes: Temperature values are averages for the months of peak summer and peak winter; precipitation averages are rough guidelines; for all zones except Mediterranean, summer is presumed to be the wettest season).
    Climate Zone
    Temperature (°C)
    Precipitation (mm/day)
    Summer Min
    Summer Max
    Winter Min
    Winter Max
    Summer Min
    Summer Max
    Winter Min
    Winter Max
    Group A


    18

    Wet



    Rainforest


    18

    Very Wet

    Wet

    Monsoon


    18

    Wet


    Wet
    Savannah


    18

    		Wet

    		Dry
    Group B





    Dry

    Dry
    Hot Desert


    0


    		Dry

    Dry
    Cold Desert



    0
    		Dry

    Dry
    Hot Steppe


    0


    		Dry (border)

    Dry
    Cold Steppe



    0
    		Dry (border)

    Dry
    Group C
    10

    0
    18




    Med.
    10

    0
    18

    Dry
    Wet

    Subtropical
    22

    0
    18
    Wet



    Oceanic
    10
    22
    0
    18
    Wet



    Group D
    10


    0
    Wet



    Humid Continental
    10 (>3 months)


    0
    Wet



    Subarctic
    10 (1-3 months)


    0
    Wet



    Group E

    10






    Tundra
    0
    10






    Ice Cap

    0






    Notes

    In case anyone wants them, here’s a group of maps of each of the individual Köppen climate zones on Earth (along with some regional maps). Note that some depict current zones, and some show near-future predictions of how zones will move as global climate warms.

    Should someone want to follow me down the rabbit hole of trying to find a reasonably usable GCM, here are my findings:
    • ROCKE3D is probably the most promising, with good documentation and intentional design for flexibility and use with exoplanets, but 1, I’m not confident it will run well on home computers, and 2, there’s little explanation of how to import novel topography into the program other than to note that it’s hard. I’ll try running some tests with this one in the near future.
    • EdGCM is by far the easiest to use, but the least customizable, and again there’s no clear way to add topography—but it would probably be similar to the process for ROCKE3D, given their “shared ancestry”.
    • FOAM has a pretty clear process for importing topography, but the program itself doesn’t appear to be publicly available.
    • PlaSim has a basic and awkward topography editor, and isn’t too hard to get working (if you’re willing to install linux), but for the life of me I can’t figure out how to interpret the output.
    • MitGCM is one I’ve seen a few worldbuilding sites recommend, but I’ve never seen anyone claim to have actually used it.
    I very much encourage anyone who gets a GCM working for fictional topography (or already has in the past) to contact me (comment here or email worldbuildingpasta@gmail.com) and tell me about the process.

    Buy me a cup of tea (on Patreon)

    Part VIc

     

    Comments

    1. AnonymousMay 8, 2020 at 7:24 PM

      For climate bands, how do you determine winter and summer with the thermal equator since winter/summer isn't perfectly down the middle. I'm not sure if I'm just reading the tropical zone on Lyell wrong, but I'd think there'd be another temperate section in the middle based on winter in the southern hemisphere

      ReplyDelete
      Replies
      1. Worldbuilding PastaMay 9, 2020 at 12:20 AM

        For the climate bands, which you're drawing based on temperature, summer and winter are defined as the hottest and coldest months, regardless of hemisphere; so for drawing the temperate band, anywhere that drops under 18 C at any point would be excluded, regardless of when in the year that happens. For the climate zones within the bands, which you're drawing based on precipitation, summer and winter are formally defined as the months with most and least sunlight; where seasons are mostly obliquity-driven such as here, you can divide the planet by the equator and assume opposite seasons in opposite hemispheres; where seasons are mostly eccentricity-driven, you'll have global seasons that are the same across hemispheres.

        Delete
    2. AnonymousAugust 10, 2020 at 10:43 PM

      Hi, great series you've done so far, it's been a massive amount of help with the current project I'm working on. Though there is one thing I'm stuck on, my planet has an obliquity of about 72 degrees, meaning that it effectively does not have an ITCZ or thermal 'equator' and I have a feeling this would effect ocean climates too. I guess it also doesn't help that the planet has a rotation of 16 hours but I'll ignore that for now.

      How would one sort out such extreme scenarios like this? Massive thanks in advance if you get the chance to respond, otherwise stay safe!

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      1. Worldbuilding PastaAugust 11, 2020 at 1:52 AM

        Yeah, high obliquity is basically a whole other ball game. You can even end up with totally flipped convection cells, and winds converging at the poles rather than the equator. If you look back at the last post, Part VIa, I discussed some of the broad climate patterns we'd expect with high obliquity. Next post I'll try to actually chart out climate zones of a world with 90 degrees obliquity and an ice belt, but frankly it's going to be a lot of guesswork.

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      2. AnonymousAugust 11, 2020 at 10:26 AM

        Thanks! Can't wait for the next post.

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    3. AbbydonOctober 27, 2020 at 8:57 PM

      It's not my area of expertise but I too have been looking for a GCM that could be used for world building. The inability to find one has almost motivated me to try to write a (very simple) one from scratch. It would only have to produce plausible rather than completely accurate results for varying inputs. However, that's more work than I have spare time for right now. I did see Exeter University's ISCA referenced in some papers but I haven't had chance to grab it from Github and give it a go. Documentation is sadly rather minimal at present though.

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      1. Worldbuilding PastaOctober 28, 2020 at 2:47 PM

        I have actually been contacted by someone who's managed to get ROCKE-3D working at home. From what they tell me it is possible to get running on a laptop, though it's not easy--takes a good amount of time learning the setup process, and you may need to work up some custom scripts for importing topography--and if you left it to run overnight for around 8 hours every night, it would probably take months to complete. I also just stumbled across OASIS, which looks promising (https://software-oasis.com/), but it doesn't appear ready for public use yet.

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      2. AbbydonOctober 29, 2020 at 11:00 AM

        I must admit that the significant processing time required sometimes makes me think that perhaps a GCM may not be the best approach anyway. A "simple" 2D energy balance model might be better though the ocean, atmosphere and a water balance model would need to be added in some way. I suspect no tool that anyone else produces would be sufficiently flexible for me as I want the ability to arbitrarily define the spatial distribution of irradiance to cover all possibilities. For example, binary star systems, spin-orbit resonance, exomoons, reflective gas giants, etc. The method in this paper (https://arxiv.org/abs/1906.05844) at least provides details on an energy balance model though unfortunately it says nothing about precipitation and wind. Is it really too difficult or incorrect to add a simple parametric approximation somehow though?

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      3. Worldbuilding PastaOctober 29, 2020 at 6:49 PM

        ROCKE-3D is designed for flexibility--it can certainly handle spin-orbit resonances, and I'm not sure how it handle multiple stars, but for a distant-orbiting S-type planet you can probably get a good enough model by taking the spectrum of a star and doubling the luminosity (as to exomoons, my reading so far indicates that eclipses and reflected light should almost never have a significant impact on climate). Still, the time required is very daunting.

        But as to the energy balance model, that is more-or-less what Clima-Sim is, and it works reasonably well for fairly Earthlike cases but simply can't produce reasonable results for high eccentricity, high obliquity, or tidal-locked worlds. I can't say if that's a particular problem with the model assuming Earthlike patterns of heat flow, or a more essential problem with the ability for a model of this type to represent the more vigorous patterns of circulation on these worlds. It also doesn't provide any info on winds or precipitation patterns, though it must necessarily be modelling air circulation to some extent, and it does seem to at least partially model latitudinal cloud cover. Given how much GCMs seem to diverge in predicting precipitation in formal research, I fear there may just be a minimal level of simulation complexity required to produce consistent and reasonably accurate results.

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      4. AbbydonNovember 11, 2021 at 5:44 PM

        At work I've recently been looking at NVIDIA's new tool called Modulus for developing physics machine learning models that can be used for electromagnetic modelling. However, it can also theoretically be used for climate modelling and in fact NVIDIA did just issue a press release saying it would be used to produce a digital twin of Earth to help climate science. I wonder whether a basic climate model using GPU acceleration could be implemented to help worldbuilding.

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      5. Worldbuilding PastaNovember 16, 2021 at 11:39 AM

        Apparently OASIS https://software-oasis.com/oasis/ is intended to be GPU-accelerated, but there doesn't seem to be a publicly available version yet.

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    4. The Nymerian EncyclopediaJanuary 14, 2021 at 3:35 PM

      Thanks for the guide! it was very useful. I have just a question though, my world has a slower spin and it has the high pressure bands at 45º N/S and the polar low pressure bands at 70º N/S. What would it mean for the location of the high pressure spots and the fronts?

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      1. Worldbuilding PastaJanuary 14, 2021 at 4:29 PM

        Push the anticyclones further poleward, which will maybe give you long and high-angled (but perhaps weaker) fronts, and reduce the area affected by the polar front. Desert bands will be further poleward of course, but the ITCZ may actually wander more with the seasons so it might be a bit less distinct. If you go to the next section you can see I tried to sketch out climate for a slower-spinning world--though much slower than for you, I'm guessing.

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      2. The Nymerian EncyclopediaJanuary 14, 2021 at 5:44 PM

        Yeah, my world takes more or less 64h to spin, so there are three circulation cells, though the temperate and polar cell are a bit squashed by the hadley cell. One factor that made me have some issues with the winds and all is that the world´s landmasses are very fragmented by tidal stresses from its parent planet and strong tectonic activity, added to the world being relatively young (3.5 Gya) it leads to 16% continents and lots, LOTS of shallow seas . My largest continent is about the size of the Sahara desert, so I don´t know if it´s big enough for any big pressure system

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      3. Worldbuilding PastaJanuary 15, 2021 at 3:28 PM

        I'd say that's still big enough, and small seas between landmasses may "count" less than open oceans, in the same way that the Mediterranean and the Caspian don't provide as much moisture to the surrounding landmasses as the Atlantic does. But you may very well just end up with no substantial deserts, and instead just a few dryish rainshadowed spots.

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    5. BiegeltorenFebruary 23, 2021 at 5:51 PM

      I was going through your guide and climasim, but since I had a map that had much higher detail than yours I chose to use climasims at sea level output and manually adjust temperature for altitude, with -4.46 C for every km because that's what climasim does (?). But in other locations I found that the lapse rate is actually 6.5 C/km (according to aviation) on average.
      Any thoughts/advise on how I should approach this?

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      1. Worldbuilding PastaFebruary 24, 2021 at 6:13 PM

        This is actually addressed by the clima-sim author (if you click on the blue bits of text in the program, there are helpful popups explaining some of the underlying logic). 6.5 C/km is accurate for open air, but for large highland areas the rate is lower because of heating of the land surface by the sun. So use the lower rate for large plateaus and mountain ranges, and the higher rate for more isolated peaks.

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    6. UnknownApril 23, 2021 at 8:09 PM

      What happens when the ITCZ is directly over a subtropical high or completely crosses it?

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      1. Worldbuilding PastaApril 23, 2021 at 8:16 PM

        That shouldn't be possible. The ITCZ is necessarily a low-pressure zone, and however far it moves with the seasons, the highs should move farther to keep well clear of it.

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      2. UnknownApril 24, 2021 at 7:02 PM

        Oh, so does that mean the subtropical highs could move as far north as 60° and over land to keep away from the ITCZ?

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      3. Worldbuilding PastaApril 25, 2021 at 12:11 PM

        If there's an ocean that the ITCZ completely moves past, the high in that sea may just disappear in summer. Generally speaking, though, the model I'm presenting here gets a bit iffy when you don't have large ocean basins across all latitudes, as well as for cases with that much ITCZ movement. The thing to remember here is I'm trying to take Earth's atmospheric regime and stretching it to fit other, similar worlds, but there will be some thresholds past which those worlds just switch into a different regime--and right now, we don't really have the data to say exactly where those thresholds will be.

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    7. EllaAugust 3, 2021 at 12:35 PM

      This is amazing, someone should award you with an honorate degrees in all the sciences. One question though: Considering Climasims only runs on Windows, has anyone found an alternative for Mac? Thanks in advance!

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      1. Worldbuilding PastaAugust 3, 2021 at 12:47 PM

        So far as I'm aware, no, it's a somewhat obscure bit of software. If it helps, I'm working on a tutorial for a more advanced piece of software (exoplasim) that's a good deal more effort to get working but may actually work on Mac. I'm not sure though, I don't know anyone who's tried; I've had to set it up on a linux partition.

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      2. EllaAugust 3, 2021 at 9:08 PM

        Thanks for the quick answer, though I was hoping for a different one ;) I'm no computer pro so I haven't even tried to dabble with Linux (what's more, all computers I "own" are company issued, so I'd rather not set up any partitions). Do you know of a method to "manually" figure out temperature zones like Climasims does, or am I reduced to following the Artifexian method and just broadly sketch in a handful of climate zones hoping for the best? Thanks again!

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      3. Worldbuilding PastaAugust 3, 2021 at 10:37 PM

        There are some more detailed tutorials on Cartographer's Guild that you could try to adapt, such as here and in the other threads linked https://www.cartographersguild.com/showthread.php?t=27782 . It is all a tad loose, but that's the best we can do by hand.

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      4. EllaAugust 4, 2021 at 12:24 PM

        Thanks a lot! I'll check that out. I'm still on the fence whether I need to go that much into detail (considering I'm worldbuilding for writing, and most readers don't care whether climates & biomes on continents that aren't even in the story they're reading make scientifically accurate sense; or whether the description of some random stretch of land features a tree that, climate-wise, should only grow 2° latitudes farther south) but I'm loving the process so far. By the way, this is a great blog. I'm amazed by your level of scientific understanding, your ability to break down the hard stuff into palatable chunks and also your willingness to tunnel into the nerdy stuff. I'll be sure to follow along while I'm working on my world, can't wait to see what you cook up next.

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    8. AnonymousFebruary 14, 2022 at 1:36 PM

      Hi! This is such a fantastic worldbuilding guide and I've really learned a lot as well as had a blast doing it following along in the steps!

      I just had a small question regarding building the tropical climate zones if that's alright? It's about this part:

      "We’ll start out by marking out areas that are very wet in both seasons as tropical rainforest (Af), areas that are wet in both seasons as tropical monsoon (Am), and areas that are wet in one season and dry in the other as tropical savanna (Aw/As)."

      And more specifically this part:

      "... and areas that are wet in one season and dry in the other as tropical savanna (Aw/As)."

      Now it might just be that I'm not understanding it right because I'm not a native English speaker, but would this not entail all remaining land that is not covered by the two preceding climate zones? Meaning areas that are Very Wet both seasons (Af) and Wet both seasons (Am) respectively that is?

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      1. Worldbuilding PastaFebruary 14, 2022 at 9:35 PM

        The key point here is that, in the tropical band, we're distinguishing between very wet and wet areas. So if you mark in those areas as instructed, you'll be left with some areas that are very wet in one season and either wet or dry in the other season, which you then mark in as rainforest, monsoon, and savanna as instructed a little after that.

        This somewhat awkward and imprecise approach is to account for the facts that A, while the temperate and continental regions basically only have 4 levels of wetness (oceanic/subtropical zones that are wet year-round or only dry in winter, mediterranean zones that are wet in summer, steppe that's dryish year-round, and desert that's very dry year-round), tropical regions have 5 levels (rainforest, monsoon, savanna, steppe, and desert); and B, monsoon zones can either be areas that are moderately wet year-round, or those that are very wet in ones season and very dry in the other.

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      2. AnonymousFebruary 15, 2022 at 10:27 AM

        I see. I think I understand, I just got hyperfocused on one step (and the map shown in that step) when I should've kept going. I think I understand how to proceed now. Thank you!

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    9. UnknownApril 11, 2022 at 2:28 AM

      Great guide. The part I'm currently getting stuck at is the adjustments to the isotherms. The adjustment made by currents I can understand, but the adjustments based on mountains is where I'm getting hung up on. I'm trying to understand what you did, but am failing, and I believe it's because it's the part where you're altering the isotherms the most, while it is the least explained part of the tutorial.

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      1. Worldbuilding PastaApril 12, 2022 at 8:12 PM

        So basically, we expect that temperature should fall with altitude by something like 5 degrees C / km; if you have a 4-km-high mountain next to a low plain, you should expect it to be something like 20 C colder on its peak than the plains. Clima-sim will try to account for that in building the isotherms (if you have it set to), but the trouble is the low resolution of the topography: Near the equator, each cell of that grid it uses is over 1,000 km across (for an Earth-size planet). It also only has a few different elevation levels, the highest at 4000 m. So if, say, you have a ridge near the equator that's only 100 km across and 6 km high, you might input it in clima-sim in such a way that it simulates it as 1000 km across and 4 km high. The isotherms it outputs will thus show this large cold area that's much too broad, because it thinks that's how big the mountain is. So in that final adjustment step, we try to thin down that cold area to the actual size of the mountain range, and maybe cool the peaks a bit more to account for their greater height than simulated.

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    10. AnonymousJune 5, 2022 at 7:40 PM

      Oh hey just fyi I noticed a typo where you put east instead of west on the equatorial currents when describing them curving back from the equatorial countercurrent. There's a diagram, so it doesn't seem like a huge thing, but I know you care about precise wording, so I figured I'd mention it rather than keep it to myself. Love your blog by the way, I've used it for a few worlds now and I always appreciate your balance of thoroughness and accessibility

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    11. ÁlvaroSeptember 16, 2022 at 11:43 AM

      Hello, i have read your guide and got most of it clear, but got stuck (and probably will got more in the future) while doing it.
      Im trying to make a pangea map, so guessing how far is 1000 to 3000 km is important for the inner deserts, any tip on it or is just guessing work?

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      1. Worldbuilding PastaSeptember 22, 2022 at 3:38 PM

        It would pretty much just come down to knowing the general scale of your map or using something like gplates, which has a distance-measuring tool and can import any equirectangular map as a raster

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      2. ÁlvaroSeptember 22, 2022 at 7:06 PM

        This comment has been removed by the author.

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      3. ÁlvaroSeptember 22, 2022 at 7:12 PM

        making a more in depth comment.

        I do have both a scale and gplates, but:
        i cant have a meassure visible in gplates while using the dot tool, not that matters much to move it a bit but i prefer to avoid if possible.
        and even if i could make it work that would give me a point and not an area, i could repeat it a lot to obtain the area, but thats exactly what im trying to avoid to do (repeat the point guessing like 100 times) and why i asked if there was a tip or another way to do it.

        Im guessing is not possible from your comment but wanna be sure

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      4. Worldbuilding PastaSeptember 24, 2022 at 11:54 AM

        I don't have a better idea for measuring distances quickly, no, but these guidelines are not meant to be very precise, so I really wouldn't worry about making so many measurements; for making the maps above I only referred to gplates distances maybe a handful of time to give me a general idea of the high-latitude distances.

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      5. ÁlvaroSeptember 27, 2022 at 4:39 PM

        welp time to guess a lot then.
        thank you a lot for your time answering me

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    12. AnonymousOctober 20, 2022 at 12:47 AM

      I just want to thank you. Artifexian pointed me here, and I've already started reworking all of this into a single document and set of checklists so that I a) remember it all, b) don't need to be online and jump post to post to freshen my memory, and c) I can change things if I find a better methodology for anything or add things you don't cover. When (if) I ever get that done, all credit to you, and I'll share.
      This is a truly fantastic effort you've made.

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    13. AnonymousNovember 25, 2022 at 10:38 PM

      are there other ways to do the temperature without Clima-sim

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      1. Worldbuilding PastaNovember 27, 2022 at 10:45 AM

        In terms of software, there's a few other 2-dimensional energy balance models in the scientific literature if you search around, but all are going to be significantly more difficult to install and use. There's also exoplasim, which is a proper climate model, and I've written up a full installation guide in the part VI supplement, but again it's a somewhat difficult and not always fully reliable process.

        There are also some old guides on the cartographer's guild forums where people tried to work out koppen climate maps without any simulation software.

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    14. ÁlvaroMarch 8, 2023 at 12:25 AM

      So.... im back with more doubts. :)
      finally was able to do all the rain part and red through the biomes part

      in deserts how should i do it? paint all the arid zone as desert and then add around a strip of steppe, or should i do it all inside the arid zone? also im guessing that shallow inclinations can be simplified as flat terrain, not sure if it has a basis or not.
      on the tropical zone. is there any average distance from wich monsoon transforms into savannah?

      i think that is all the doubts that i have right now before actually doing it, thanks in advance for the answers

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      1. Worldbuilding PastaMarch 8, 2023 at 1:01 PM

        As I recall I placed steppe inside the arid areas rather than around them. And yes, I referred to "relief" specifically in terms of a steep change in elevation; something like the gradual slope of the American midwest doesn't cause any rainshadowing effect (it does get more arid to the west there, but mostly just due to distance from the ocean).

        For the tropical monsoon/savanna zones, it's pretty variable, but looking at Earth's map, it's kind of similar to steppes, generally a couple hundred km

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      2. ÁlvaroMarch 8, 2023 at 1:28 PM

        thank you a lot again

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    15. AgwicMarch 20, 2023 at 10:39 AM

      I tried this method multiple times for the world I'm building, and I keep encountering a few problems. Specifically, my continental zone is tiny, the majority of my temperate zone is subtropical, even on west coasts, and I have no permanent ice caps on land or sea, and my north pole doesn't even have seasonal ice. My world is fairly standard, though it is a bit hotter than earth, so is all of this expected, or did I mess something up?

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      1. Worldbuilding PastaMarch 20, 2023 at 3:14 PM

        How much hotter, because yeah that all sounds like what a substantially warmer planet should look like, e.g. https://worldbuildingpasta.blogspot.com/2022/05/climate-explorations-temperature.html#30c

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    16. AnonymousMay 7, 2023 at 5:09 AM

      Kind of a dumb question but how do I copy the output of the Clima-Sim formatter with out it placing tabs everywhere? I remember doing it before but I forgot how I did it.

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    17. AnonymousOctober 21, 2023 at 10:46 PM

      A supercontinence

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    18. Idle SpeculationOctober 22, 2023 at 10:32 PM

      I resized the map for Clima-Sim to 720x420 pixels like you said, but it's too small and doesn't fill up the full map, is there something I'm missing?

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      1. Idle SpeculationOctober 22, 2023 at 10:47 PM

        Update: I resized it to 901x526 pixels and it's fitting properly now

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    19. AnonymousDecember 6, 2023 at 4:16 PM

      If a terraformed low-gravity planet had been given a massive enough atmosphere to completely counteract it and have Earthlike air pressure at sea level, would temperature decrease with altitude as fast as on Earth or slower in direct proportion to how weak its surface gravity is (i.e. -5°/km on Earth, -0.8°/km on the Moon)?

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      1. Worldbuilding PastaDecember 6, 2023 at 7:21 PM

        In principle, yes, the lapse rate (change in temperature with altitude) should scale directly with surface gravity, but a substantially smaller planet will have some other differences in climate; likely fewer circulation cells and possibly a subtle overall increase in precipitation.

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      2. AnonymousDecember 6, 2023 at 11:04 PM

        Thank you.

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    20. AnonymousFebruary 23, 2024 at 10:46 AM

      Will the same apply for a high obliquity world?

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      1. AnonymousFebruary 23, 2024 at 10:55 AM

        Wait never mind I read the Climate Sim. Apologies

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    21. AliceApril 1, 2024 at 10:08 PM

      Hi, I've been reading your blog for a while and finally gave this a try on a worldbuilding project we have with friends, and I'm wondering if there is a way to get that 18°C (and also the -2°C) line with Clima-Sim or if it has to be guessed by going around 2/5th of the way between 20 and 15 and 0 and - 5 respectively… thanks!

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      1. Worldbuilding PastaApril 2, 2024 at 12:18 AM

        There should be an option for "fine isochron spacing" or something along those lines.

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    22. DaveApril 21, 2024 at 4:21 AM

      Hey WBP! Incredible guide you've put together. Absolutely mind-blowing. Question. Are equatorial currents at all affected by the position of the ITCZ?

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      1. Worldbuilding PastaApril 21, 2024 at 10:36 AM

        In principle there's probably some relationship but I don't think to the extent that it'd really be worth worrying about here.

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