An application to create meteorological charts for places worldwide

The ClimateChart application shows the climate, i.e. the temperature and the precipitation, of all places on Earth. When you click on the world map above, a climate chart and a diagram showing the variation of temperature and precipitation of this location on Earth are plotted. On the right side you can change the source of the climate data and change the time frame of the data.

Time Period:


Title of the Diagram

Datasets uses two different kinds of data sources: interpolated and simulated climate data for raster cells on the map and real measured weather data from weather stations around the world.

Climate Data for Raster Cells

CRU Time Series v3.23
University of East Anglia Climatic Research Unit; Harris, I.(.; Jones, P.D. (2015): CRU TS3.23: Climatic Research Unit (CRU) Time-Series (TS) Version 3.23 of High Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901- Dec. 2014). Centre for Environmental Data Analysis, 09 November 2015.
Spatial Resolution: 0.5° x 0.5°
Temporal Coverage: 1901 - 2014

University of Delaware Air Temperature and Precipitation v4.01
Monthly global gridded high resolution station (land) data for air temperature and precipitation from 1901-2014. UDel_AirT_Precip data provided by the NOAA/OAR/ESRL PSD, Boulder, Colorado, USA, from their Web site at Reference: Willmott, C. J. and K. Matsuura (2001) Terrestrial Air Temperature and Precipitation: Monthly and Annual Time Series (1950 - 1999)
Spatial Resolution: 0.5° x 0.5°
Temporal Coverage: 1901 - 2014

GHCN CAMS is a high resolution (0.5x0.5) analyzed global land surface temperatures from 1948 to near present. GHCN Gridded V2 data provided by the NOAA/OAR/ESRL PSD, Boulder, Colorado, USA, from their Web site at Reference: Fan, Y., and H. van den Dool (2008), A global monthly land surface air temperature analysis for 1948-present, J. Geophys. Res., 113, D01103. GPCC Global Precipitation Climatology Centre monthly precipitation dataset from 1901-present is calculated from global station data. Reference: Schneider, Udo; Becker, Andreas; Finger, Peter; Meyer-Christoffer, Anja; Rudolf, Bruno; Ziese, Markus (2011): GPCC Full Data Reanalysis Version 6.0 at 0.5°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historic Data.
Spatial Resolution: 0.5° x 0.5°
Temporal Coverage: 1948 - 2013

Please note that the temperature and precipitation values shown in the diagram are based on interpolated data and therefore might differ significantly from real conditions.

Weather Stations

Global Historical Climatology Network
GHCN-Monthly provides climatological observations for four elements: monthly mean maximum temperature, minimum temperature, mean temperature, and monthly total precipitation. Since the early 1990s the Global Historical Climatology Network-Monthly (GHCN-M) dataset has been an internationally recognized source of data for the study of observed variability and change in land surface air temperature. It provides monthly mean temperature data for 7280 stations from 226 countries and territories, ongoing monthly updates of more than 2000 stations to support monitoring of current and evolving climate conditions, and homogeneity adjustments to remove non-climatic influences that can bias the observed temperature record.

Location Names and Elevation data

For the title and elevation value the gazetteer from GeoNames is used (Creative Commons Attribution 3.0 License). Elevation is based on SRTM data and only available between 60° northern and 58° southern latitude. The climate class is calculated from the temperature and precipitation data according to the Köppen-Geiger climate classification scheme.


Frontend libraries:

Servers and web services:

Optimized for Firefox and Chrome. This website uses the Piwik Analytics Platform to obtain user data.

The Walter-Lieth Chart

The charts on this site are drawn following the Walter-Lieth standard. The most characteristic feature of this type of climate diagram is that the ratio between temperature and precipitation scale is constantly 1:2, which makes it easier to compare local climates. If there are precipitation values above 100mm per month, the scale above is aligned, ensuring that the chart doesn't become to missshaped. Additionally, it graphically emphasizes in a simplified form if the local conditions are humid, perhumid, arid or seasonally changing.

The Legal disclaimer of Dresden University of Technology is applied with the following constraint:

Web design and technical development:
M.Sc. Marcus Kossatz
M.Sc. Felix Wiemann

Prof. Dr. Lars Bernard
Phone: +49 (0)351 463-35880