Tropical
Hot year-round climates including rainforest, monsoon, and savanna regimes.
Interactive climate classification atlas
Explore global Köppen-Geiger climate zones from 1901-2020 and CMIP6 projections through 2099. Switch historical periods, compare future SSP scenarios, and click any location to inspect its climate class.
The map displays the Köppen-Geiger climate classification system: a compact way to describe long-term climate using temperature, precipitation, seasonality, and aridity. Each raster cell is assigned a class such as Af, BWh, Cfa, Dfb, or ET. Those short codes summarize broad climate regimes, from tropical rainforest and hot desert to humid continental and tundra.
The shipped historical layers cover 1901-1930, 1931-1960, 1961-1990, and 1991-2020, with 1991-2020 used as the default view. Future layers cover 2041-2070 and 2071-2099 for SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP4-3.4, SSP4-6.0, and SSP5-8.5. SSP labels represent shared socioeconomic pathways used in CMIP6 climate projections; they are scenarios, not predictions.
Use the period selector to move between historical windows and future SSP scenarios. Toggle major climate groups or individual classes to focus the map, adjust opacity against the basemap, and click any land location to inspect the local class code, class name, description, examples, and approximate place name. The app is designed for quick exploration rather than statistical analysis or local-scale climate assessment.
Climate data is based on Beck et al. (2023), High-resolution (1 km) Köppen-Geiger maps for 1901-2099 based on constrained CMIP6 projections , published in Scientific Data. The source maps are available through GloH2O and figshare and are described in the project README as CC BY 4.0 with attribution to Beck et al. Place-name lookup in popups uses OpenStreetMap Nominatim.
Köppen-Geiger classes are organized into five major groups. The first letter identifies the broad climate family; later letters describe precipitation seasonality and summer or winter heat.
Hot year-round climates including rainforest, monsoon, and savanna regimes.
Desert and semi-arid climates where precipitation is limited relative to potential evaporation.
Mild mid-latitude climates including Mediterranean, oceanic, humid subtropical, and highland types.
Cold-winter climates with strong seasonal temperature ranges, including humid continental and subarctic types.
Tundra and ice-cap climates where warmth is too limited for tree growth or sustained melting seasons.
| Code | Name | Group | Description |
|---|---|---|---|
| Af | Tropical rainforest | Tropical | Hot temperatures in every month with abundant rainfall and no dry season. |
| BWh | Hot desert | Arid | Very dry climates with mean annual temperature above 18 C. |
| Cfa | Humid subtropical | Temperate | Hot, humid summers and mild to cool winters with precipitation year-round. |
| Dfb | Warm-summer humid continental | Continental | Warm summers, cold winters, and precipitation in all seasons. |
| ET | Tundra | Polar | The warmest month stays above 0 C but below 10 C, limiting tree growth. |
Climate zones summarize long-term average conditions, not current weather or a forecast. Future layers are scenario- and model-based projections, not certainties. Local microclimates, elevation effects, coastlines, islands, urban heat, and class boundaries may differ from the gridded map. Use the map as a global explorer and citation aid, not as a substitute for local climate observations or engineering design data.
It is a climate class based on long-term temperature, precipitation, seasonality, and aridity thresholds.
Open the map, zoom to the city, and click its location. The popup reports the active layer's climate code and name.
The first letter gives the major climate group. Later letters describe dryness, seasonality, and summer or winter heat.
SSPs are shared socioeconomic pathways used with CMIP6 climate projections to explore possible future emissions and forcing.
Cite the underlying Beck et al. (2023) dataset for the climate maps and follow the attribution terms described by the source.
Maps can differ by source period, resolution, method, projection scenario, coastline handling, and classification thresholds.
No. The map shows long-term climate classes, not daily weather or short-term forecasts.