Looking for 0.25x0.25 spatial resolution grid data for land surface temperature/precipitation

Question

I used to work with UDEL grid estimate (look here) data where station values of monthly total raingage-measured precipitation (P) were interpolated to a 0.5 degree by 0.5 degree latitude/longitude grid, where the grid nodes are centered on the 0.25 degree. However, after I tried to interpolate those data with Germany NUTS3 district only, and I got a poor match because I need to calculate population weighted yearly average for each Germany NUTS3 polygon but some polygon lost population data which affect my expected output. Now I realized that chosen grid estimate data is not precise enough which caused this problem.

I used to work with UDEL grid estimated data with 0.5x0.5 degree resolution (http://climate.geog.udel.edu/~climate/), but it is not ideal for my research. I used also DWD station level data (DWD station level data link), but this dataset also won't fit my expectation.Now I am looking for a grid climate data (Temperature/precipitation data) with the better resolution.

Now I am looking for the grid climate data with better resolution, where 0.25x0.25 degree grid data of global climate (land surface temperature/precipitation) are desired. Where can I find free open source grid climate data that meet my specification? Anyone know a possible source where I can download such data? Possible help would be appreciated.

Answer 1

Thanks to @Trevor-J-Smith (on GIS SE) I've found this publication in Nature's Scientific Data :

Karger, Dirk Nikolaus, Olaf Conrad, Jürgen Böhner, Tobias Kawohl, Holger Kreft, Rodrigo Wilber Soria-Auza, Niklaus E. Zimmermann, H. Peter Linder, et Michael Kessler. 2017. « Climatologies at High Resolution for the Earth’s Land Surface Areas ». Scientific Data 4 (1): 170122. https://doi.org/10.1038/sdata.2017.122.

http://www.nature.com/articles/sdata2017122

The data are described and links to download are given at the "Data Records" chapter : https://www.nature.com/articles/sdata2017122#Sec18

Following variables (among with other) are available as georeferenced TIF maps (raster data) at ~ 1km resolution :

bioclim-variable:

1=Annual Mean Temperature [°C*10]

2=Mean Diurnal Range [°C]

3=Isothermality

4=Temperature Seasonality [standard deviation]

5=Max Temperature of Warmest Month [°C*10]

6=Min Temperature of Coldest Month [°C*10]

7=Temperature Annual Range [°C*10]

8=Mean Temperature of Wettest Quarter [°C*10]

9=Mean Temperature of Driest Quarter [°C*10]

10=Mean Temperature of Warmest Quarter [°C*10]

11=Mean Temperature of Coldest Quarter [°C*10]

12=Annual Precipitation [mm/year]

13=Precipitation of Wettest Month [mm/month]

14=Precipitation of Driest Month [mm/month]

15=Precipitation Seasonality [coefficient of variation]

16=Precipitation of Wettest Quarter [mm/quarter]

17=Precipitation of Driest Quarter [mm/quarter]

18=Precipitation of Warmest Quarter [mm/quarter]

19=Precipitation of Coldest Quarter [mm/quarter]

Here is an exemple of the stylised map of Annual Mean Temperature :

You will find the code to style it this way here.

If the CHELSA dataset dont suit your needs, then for the precipitations, there are these other data :

Rustemeier Elke, Andreas Becker, Peter Finger, Udo Schneider, et Markus Ziese. 2020. « GPCC Precipitation Climatology Version 2020 at 0.25°: Monthly Land-Surface Precipitation Climatology for Every Month and the Total Year from Rain-Gauges built on GTS-based and Historic Data: Globally Gridded Monthly Totals ». Gzip compressed NetCDF. Global Precipitation Climatology Centre (GPCC). https://doi.org/10.5676/DWD_GPCC/CLIM_M_V2020_025

Which you can access at the following link (scroll down : there are the gif and pdf versions of the files, you'll have to georeference them however) :

https://opendata.dwd.de/climate_environment/GPCC/html/gpcc_normals_v2020_doi_download.html