High-resolution daily gridded data sets of air temperature and wind speed for Europe
New high-resolution data sets 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...
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ftcopernicus:oai:publications.copernicus.org:essd31191 2023-05-15T17:40:02+02:00 High-resolution daily gridded data sets of air temperature and wind speed for Europe Brinckmann, Sven Krähenmann, Stefan Bissolli, Peter 2018-09-27 application/pdf https://doi.org/10.5194/essd-8-491-2016 https://essd.copernicus.org/articles/8/491/2016/ eng eng doi:10.5194/essd-8-491-2016 https://essd.copernicus.org/articles/8/491/2016/ eISSN: 1866-3516 Text 2018 ftcopernicus https://doi.org/10.5194/essd-8-491-2016 2020-07-20T16:23:58Z New high-resolution data sets 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 SYNOP observations, partly supplemented by station data from the ECA&D data set ( http://www.ecad.eu ). These data are quality tested to eliminate erroneous data. By spatial interpolation of these station observations, grid data in a resolution of 0.044° (≈ 5<mspace linebreak="nobreak" width="0.125em"/>km) on a rotated grid with virtual North Pole at 39.25° N, 162° W are derived. 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 used 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. Variance explained by the regression 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 K and 1–1.5 m<mspace width="0.125em" linebreak="nobreak"/>s −1 (depending on season and parameter) for daily temperature parameters and daily mean wind speed, respectively. The data sets presented in this article are published at doi:10.5676/DWD_CDC/DECREG0110v2 . Text North Pole Copernicus Publications: E-Journals North Pole Earth System Science Data 8 2 491 516 |
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Open Polar |
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Copernicus Publications: E-Journals |
op_collection_id |
ftcopernicus |
language |
English |
description |
New high-resolution data sets 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 SYNOP observations, partly supplemented by station data from the ECA&D data set ( http://www.ecad.eu ). These data are quality tested to eliminate erroneous data. By spatial interpolation of these station observations, grid data in a resolution of 0.044° (≈ 5<mspace linebreak="nobreak" width="0.125em"/>km) on a rotated grid with virtual North Pole at 39.25° N, 162° W are derived. 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 used 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. Variance explained by the regression 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 K and 1–1.5 m<mspace width="0.125em" linebreak="nobreak"/>s −1 (depending on season and parameter) for daily temperature parameters and daily mean wind speed, respectively. The data sets presented in this article are published at doi:10.5676/DWD_CDC/DECREG0110v2 . |
format |
Text |
author |
Brinckmann, Sven Krähenmann, Stefan Bissolli, Peter |
spellingShingle |
Brinckmann, Sven Krähenmann, Stefan Bissolli, Peter High-resolution daily gridded data sets of air temperature and wind speed for Europe |
author_facet |
Brinckmann, Sven Krähenmann, Stefan Bissolli, Peter |
author_sort |
Brinckmann, Sven |
title |
High-resolution daily gridded data sets of air temperature and wind speed for Europe |
title_short |
High-resolution daily gridded data sets of air temperature and wind speed for Europe |
title_full |
High-resolution daily gridded data sets of air temperature and wind speed for Europe |
title_fullStr |
High-resolution daily gridded data sets of air temperature and wind speed for Europe |
title_full_unstemmed |
High-resolution daily gridded data sets of air temperature and wind speed for Europe |
title_sort |
high-resolution daily gridded data sets of air temperature and wind speed for europe |
publishDate |
2018 |
url |
https://doi.org/10.5194/essd-8-491-2016 https://essd.copernicus.org/articles/8/491/2016/ |
geographic |
North Pole |
geographic_facet |
North Pole |
genre |
North Pole |
genre_facet |
North Pole |
op_source |
eISSN: 1866-3516 |
op_relation |
doi:10.5194/essd-8-491-2016 https://essd.copernicus.org/articles/8/491/2016/ |
op_doi |
https://doi.org/10.5194/essd-8-491-2016 |
container_title |
Earth System Science Data |
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8 |
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2 |
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491 |
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516 |
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1766140824570036224 |