Köppen climate classification

The purpose of this page is to share information about the Köppen climate classification, and to provide data and high-resolution figures from Chen and Chen (2013) [PDF].

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Abstract

The Köppen climate classification was developed based on the empirical relationship between climate and vegetation. This type of climate classification scheme provides an efficient way to describe climatic conditions defined by multiple variables and their seasonalities with a single metric. Compared with a single variable approach, the Köppen classification can add a new dimension to the description of climate variation. Further, it is generally accepted that the climatic combinations identified with the Köppen classification are ecologically relevant. The classification has therefore been widely used to map geographic distribution of long term mean climate and associated ecosystem conditions. Over the recent years, there has also been an increasing interest in using the classification to identify changes in climate and potential changes in vegetation over time. These successful applications point to the potential of using the Köppen classification as a diagnostic tool to monitor changes in the climatic condition over various time scales.

This work used a global temperature and precipitation observation dataset to reveal variations and changes of climate over the period 1901–2010, demonstrating the power of the Köppen classification in describing not only climate change, but also climate variability on various temporal scales. It is concluded that the most significant change over 1901–2010 is a distinct areal increase of the dry climate (B) accompanied by a significant areal decrease of the polar climate (E) since the 1980s. The areas of spatially stable climate regions for interannual and interdecadal variations are also identified, which have practical and theoretical implications.

Source: Chen and Chen (2013)

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Citation

Chen, D. and H. W. Chen, 2013: Using the Köppen classification to quantify climate variation and change: An example for 1901–2010. Environmental Development, 6, 69–79, https://doi.org/10.1016/j.envdev.2013.03.007.

Maps and plots

The plots below show world maps of the Köppen climate classification and time series of the area changes for different climate types. Click on the thumbnails to expand. Individual images can be saved by expanding them and then right click → select “Save Link As”. You can also download all images in a zip file under Downloads.

Long-time average climate (1901–2010)

These maps show the Köppen climate classification for the long-term average climate (1901–2010). The classification is based on a global observation-based dataset by Kenji Matsuura and Cort J. Willmott, which combines data from several sources including GHCN2 interpolated onto a 0.5° longitude × 0.5° latitude grid.

Stable and unstable regions

In the maps below, the Köppen classification was applied on temperature and precipitation averaged over shorter time scales, from interannual to decadal to 30 years. The 30-year averages were calculated with an overlap of 20 years between each sub-period, while the interannual and decadal averages did not have overlapping years. Black regions indicate areas where the major Köppen climate type changed at least once during 1901–2010 for a given time scale. Thus, the black regions are likely to be sensitive to climate variations, while the colored regions identify spatially stable regions.

Changes in areas

Time series for the global areas of all Köppen types were obtained using the 30-year climate classifications. For each time series, the area anomalies were normalized by the mean area for the whole period to yield the relative area change.

Major types

Subtypes

Downloads

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How to read

The data are saved in tab delimited ASCII text files with CRLF line endings. The first line contains the header, followed by 85,794 lines with centered grid box coordinates and the Köppen climate type for each grid box. Each grid box has a size of 0.5° longitude × 0.5° latitude. For the interannual, decadal, and 30-year time scales, there are multiple columns for the climate types, one column for each average period as indicated by the header.

Here is an example of how the data can be read in Python:

# Example of reading the koppen_1901-2010.tsv file in Python
import numpy as np
koppen = np.genfromtxt("koppen_1901-2010.tsv", dtype=None, names=True)
print("The Koppen type at {} latitude and {} longitude is {}".format(
        koppen['latitude'][2], koppen['longitude'][2], koppen['p1901_2010'][2]))

And here is an example for MATLAB:

% Example of reading the koppen_1901-2010.tsv file in MATLAB
koppen = tdfread('koppen_1901-2010.tsv');
disp(['The Koppen type at ' num2str(koppen.latitude(3)) ' latitude and '
      num2str(koppen.longitude(3)) ' longitude is ' koppen.p1901_2010(3,:)])

Classification

This work used the same criteria for the Köppen climate classification as Kottek et al. (2006) and the tables below are largely based on the tables in their paper. The classification scheme is described in this section.

The Köppen climate classification uses monthly temperature and precipitation for the twelve months, usually averaged over a long period of time (30 years or more). Climate types are represented by a two or three letter combination where the first letter defines the major type. The major types can be further divided into subtypes based on precipitation (second letter, except for the E group) and temperature (second letter for the E group and third letter for the other groups except for the A group).

Subtypes satisfy the criterion of their parent type(s) and are prioritized in the order they appear in the table. For example, if the climate in a region satisfies both Af and Am, it is classified as Af, because Af appears before Am in the table and therefore has higher priority.

Summer is defined as April through September (AMJJAS) and winter as October through March (ONDJFM) for the Northern Hemisphere, and vice versa for the Southern Hemisphere.

First and second letter

TypeDescriptionCriteria
ATropical climateNot B or E.
Coldest month temperature is greater than or equal to +18 °C.
AfTropical rain forestPrecipitation in the driest month is greater than or equal to 60 mm.
AmTropical monsoonsPrecipitation in the driest month is greater than or equal to 100 mm – (annual precipitation in mm)/25.
AsTropical savanna with dry summerPrecipitation in the driest month in summer is less than 60 mm.
AwTropical savanna with dry winterPrecipitation in the driest month in winter is less than 60 mm.
BDry climateNot E.
The annual precipitation is less than 10 times the dryness threshold.
BWDesert (arid)The annual precipitation is less than or equal to 5 times the dryness threshold.
BSSteppe (semi-arid)The annual precipitation is greater than 5 times the dryness threshold.
CMild temperateNot A, B, or E.
Temperature of the coldest month is greater than -3 °C and less than +18 °C.
CsMild temperate with dry summerPrecipitation in the driest month in summer is less than the precipitation in the driest month in winter.
Precipitation in the wettest month in winter is more than 3 times the precipitation in the driest month in summer.
Precipitation in the driest month in summer is less than 40 mm.
CwMild temperate with dry winterPrecipitation in the driest month in summer is more than 10 times the precipitation in the driest month in winter.
Precipitation in the driest month in winter is less than the precipitation in the driest month in summer.
CfMild temperate, fully humidNot Cs or Cw.
DSnowNot A, B, C, or E.
Temperature of the coldest month is less than or equal to -3 °C.
DsSnow with dry summerPrecipitation in the driest month in summer is less than the precipitation in the driest month in winter.
Precipitation in the wettest month in winter is more than 3 times the precipitation in the driest month in summer.
Precipitation in the driest month in summer is less than 40 mm.
DwSnow with dry winterPrecipitation in the driest month in summer is more than 10 times the precipitation in the driest month in winter.
Precipitation in the driest month in winter is less than the precipitation in the driest month in summer.
DfSnow, fully humidNot Ds or Dw.
EPolarTemperature of the warmest month is less than 10 °C.
ETTundraTemperature of the warmest month is greater than or equal to 0 °C.
EFFrostTemperature of the warmest month is less than 0 °C.

Dryness threshold

The dryness threshold is given in mm and is calculated by multiplying the annual mean temperature (Tann) in °C by a factor 2 mm/°C and adding an offset depending on the annual precipitation:

If at least two-thirds of the annual precipitation occurs in winter, the dryness threshold is 2×Tann + 0 mm.

If at least two-thirds of the annual precipitation occurs in summer, the dryness threshold is 2×Tann + 28 mm.

Otherwise the dryness threshold is 2×Tann + 14 mm.

Third letter

TypeDescriptionCriteria
hHot aridAnnual mean temperature is greater than or equal to +18 °C.
kCold aridAnnual mean temperature is less than +18 °C.
aHot summerTemperature of the warmest month is greater than or equal to +22 °C.
bWarm summerTemperature of the warmest month is less than +22 °C.
At least 4 months with temperatures greater than or equal to +10 °C.
cCool summerTemperature of the warmest month is less than +22 °C.
At least 4 months with temperatures less than +10 °C.
Temperature of the coldest month is greater than -38 °C.
dCold summerTemperature of the warmest month is less than +22 °C.
At least 4 months with temperatures less than +10 °C.
Temperature of the coldest month is less than or equal to -38 °C.

Contact

Hans Chen

Email: hans.chen@chalmers.se

Website: http://hanschen.org

See also

References

Kottek, M., J. Grieser, C. Beck, B. Rudolf, and F. Rubel, 2006: World Map of the Köppen-Geiger climate classification updated. Meteorologische Zeitschrift, 15, 259-263, https://doi.org/10.1127/0941-2948/2006/0130.