DOI: 10.5281/zenodo.10066044
title: German weather services (DWD) multi annual meteorological rasters for the climate period 1991-2020 refined to 25m grid

description: Overview

These are two multi-annual raster products from the german weather service, that got refined from a 1km grid to a 25m grid, by using a local regression model.

The base rasters from DWD are:



HYRAS precipitation

REGNIE precipitation

DWD-grid (precipitation, potential evapotranspiration and temperature 2m above ground)


To refine the grids the Copernicus DEM with a resolution of 25m got used. For every cell a linear regression model got created, by selecting the multi-annual rasters value and the elevation, from the original digital elevation model that was used by the DWD to create the raster, in a certain window around the cell. This window was at least 2 cells around the considered cell, so 5x5=25 cells. If the standard deviation of the elevation in this window was less than 4m, more neighbooring cells are considered until a maximum of 13x13=169 cells are considered. This widening of the window was necessary for flat regions to get a reasonable regression model.

Out of these combinations of elevation and climate parameter a linear regression model was build. These regression models are then applied to the finer digital elevation model with its 25m resolution from Copernicus.

The following image illustrates the generation of the refined rasters on a small example window:
description: Raster Meta informations

DWD-grid_ma_1991_2020_DGM25.tif

Sources



Deutscher Wetterdienst (DWD) (2021): Vieljährige Raster der potentiellen Evapotranspiration über Gras (per Kalendermonat) 1991-2020. Version v1.x: Climate Data Center (CDC). Online available onhttps://opendata.dwd.de/climate_environment/CDC/grids_germany/multi_annual/evapo_p

Deutscher Wetterdienst (DWD) (2021): Raster der vieljährigen Mittel der Niederschlagshöhe für Deutschland 1991-2020. Version v1.0: Climate Data Center (CDC). Online available on https://opendata.dwd.de/climate_environment/CDC/grids_germany/multi_annual/precipitation

Deutscher Wetterdienst (DWD) (2021): Raster der vieljährigen Mittel der Lufttemperatur (2 m) für Deutschland 1991-2020. Version v1.0: Climate Data Center (CDC). Online available on https://opendata.dwd.de/climate_environment/CDC/grids_germany/multi_annual/air_temperature_mean


Bands



n_wihj: the precipitation sum of the winter months (october-march) in mm, from source 2

n_sohj: the precipitation sum of the summer months (april-september) in mm, from source 2

n_yearly: the yearly precipitation sum in mm, from source 2

t_yearly: the yearly mean temperature in 1/10°C, from source 3

et_yearly: the yearly potential evapotranspiration sum in mm, from source 1: parameter VPGB (grass reference potential evapotranspiration from AMBAV Model)


HYRAS_ma_1991_2020_DGM25.tif

Sources



Rauthe, M. et al. 2013. A Central European precipitation climatology. Part I: Generation and validation of a high-resolution gridded daily data set (HYRAS). Meteorologische Zeitschrift. doi:10.1127/0941-2948/2013/0436. Online available on https://opendata.dwd.de/climate_environment/CDC/grids_germany/multi_annual/hyras_de/precipitation


Bands



n_HYRAS_wihj: the precipitation sum of the winter months (october-march) in mm

n_HYRAS_sohj: the precipitation sum of the summer months (april-september) in mm

n_HYRAS_year: the yearly precipitation sum in mm


REGNIE_ma_1991_2020_DGM25.tif

Sources



Deutscher Wetterdienst (DWD). REGNIE Dataset. Online avalailable on https://opendata.dwd.de/climate_environment/CDC/grids_germany/multi_annual/regnie/


Bands



n_regnie_wihj: the precipitation sum of the winter months (october-march) in mm

n_regnie_sohj: the precipitation sum of the summer months (april-september) in mm

n_regnie_year: the yearly precipitation sum in mm