High-resolution daily gridded datasets of air temperature and wind speed for Europe

Abstract

Abstract. New high-resolution datasets for near surface daily air temperature (minimum, maximum and mean) and daily mean wind speed for Europe (the CORDEX domain) are provided for the period 2001–2010 for the purpose of regional model validation in the framework of DecReg, a sub-project of the German MiKlip project, which aims to develop decadal climate predictions. The main input data sources are hourly SYNOP observations, partly supplemented by station data from the ECA&D dataset (http://www.ecad.eu). These data are quality tested to eliminate erroneous data and various kinds of inhomogeneities. Grids in a resolution of 0.044° (5 km) are derived by spatial interpolation of these station data into the CORDEX area. For temperature interpolation a modified version of a regression kriging method developed by Krähenmann et al. (2011) is used. At first, predictor fields of altitude, continentality and zonal mean temperature are chosen for a regression applied to monthly station data. The residuals of the monthly regression and the deviations of the daily data from the monthly averages are interpolated using simple kriging in a second and third step. For wind speed a new method based on the concept used for temperature was developed, involving predictor fields of exposure, roughness length, coastal distance and ERA Interim reanalysis wind speed at 850 hPa. Interpolation uncertainty is estimated by means of the kriging variance and regression uncertainties. Furthermore, to assess the quality of the final daily grid data, cross validation is performed. Explained variance ranges from 70 to 90 % for monthly temperature and from 50 to 60 % for monthly wind speed. The resulting RMSE for the final daily grid data amounts to 1–2 °C and 1–1.5 m s−1 (depending on season and parameter) for daily temperature parameters and daily mean wind speed, respectively. The datasets presented in this article are published at http://dx.doi.org/10.5676/DWD_CDC/DECREG0110v1.

Context sensitivity of surface urban heat island at the local and regional scales

“…The monthly 10m wind speed data set comes from the German Weather Service (Deutscher Wetterdienst, DWD) Climate Data Centre. This data set consists of gridded monthly mean near-surface (10m) wind speed values (Brinckmann, 2016) for Europe, and it was created by the project DecReg/MiKlip (Brinckmann et al, 2015) Model (EU-DEM, version 1.0) with 25m resolution, as well as the CLC2006 at 100m resolution. We aggregated the IMD2006 and EU-DEM data to a coarser resolution of 250m by assigning each coarse cell the mean value from the fine cells it covers.…”

Uncertainty quantification and predictability of wind speed over the Iberian Peninsula

“…An adequate quality control was applied to this database to remove erroneous data and inhomogeneities. Further information on this database is in Brinckmann et al [2015].…”

A new E‐OBS gridded dataset for daily mean wind speed over Europe

“…In this subsection we make some initial comparisons of the E‐OBS wind speed gridded dataset with the in situ observation‐based DWD dataset (Brinckmann et al, 2016; Brinckmann & Bissolli, 2017) and the numerical model re‐analysis ERA5‐Land dataset (Hersbach et al, 2020; Muñoz‐Sabater et al, 2021). Although it might at first seem tempting to aim to conclude which of these datasets performs “better,” we explicitly choose not to go in that direction.…”

“…We make a comparison between the present dataset and the in situ observation‐based pan‐European dataset for daily mean wind speed provided by the Deutscher Wetterdienst (DWD) in Brinckmann et al (2016) and Brinckmann and Bissolli (2017). The DWD dataset is a “static” dataset and spans the period from 2001 to 2016.…”