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Current operational HARMONIE information in gridded form (regular lat-lon) of weather parameters from the KNMI HARMONIE-AROME Cy43 model. The output frequency is 1 hour. Please note: only the last 72 ...
Data eigenaar: Koninklijk Nederlands Meteorologisch Instituut (Rijk) Bijgewerkt: 04-11-2025 Thema: - Lucht
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KNMI-RACMO-ECEARTH datasets of bias-adjusted precipitation, temperature (daily mean/max/min) and potential evaporation for the Belgian and French part of the Meuse catchment. Time resolution: 1-hourly...
Data eigenaar: Koninklijk Nederlands Meteorologisch Instituut (Rijk) Bijgewerkt: 16-10-2024 Thema: - Lucht
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Current operational HARMONIE information in gridded form (rotated lat-lon) of selected parameters at all model levels from the UWC-West HARMONIE-AROME Cy43 model. For this weather forecast model, KNMI...
Data eigenaar: Koninklijk Nederlands Meteorologisch Instituut (Rijk) Bijgewerkt: 19-10-2025 Thema: - Lucht
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KNMI-RACMO-ECEARTH datasets of bias-adjusted precipitation, temperature (daily mean/max/min) and potential evaporation for the Netherlands. Time resolution: 1-hourly for precipitation and daily for te...
Data eigenaar: Koninklijk Nederlands Meteorologisch Instituut (Rijk) Bijgewerkt: 01-05-2025 Thema: - Lucht
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KNMI-RACMO-ECEARTH datasets of bias-adjusted precipitation, temperature (daily mean/max/min) and potential evaporation for the German and Swiss part of the Rhine catchment. Time resolution: 1-hourly f...
Data eigenaar: Koninklijk Nederlands Meteorologisch Instituut (Rijk) Bijgewerkt: 16-10-2024 Thema: - Lucht
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Current operational HARMONIE information in gridded form (rotated lat-lon) of near surface and boundary layer (up to 300 m) parameters and a few pressure levels from the UWC-West HARMONIE-AROME Cy43 m...
Data eigenaar: Koninklijk Nederlands Meteorologisch Instituut (Rijk) Bijgewerkt: 03-06-2025 Thema: - Lucht
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Winds of the North Sea in 2050 (WINS50): wind speed, wind direction, temperature, pressure and relative humidity at 10-600 meter height from a reanalysis for 2019-2021 with the NWP model HARMONIE-AROM...
Data eigenaar: Koninklijk Nederlands Meteorologisch Instituut (Rijk) Bijgewerkt: 26-11-2025 Thema: - Lucht
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Winds of the North Sea in 2050 (WINS50): wind speed, wind direction, temperature, pressure and relative humidity at 10-600 meter height from a reanalysis for 2019-2021 with the NWP model HARMONIE-AROM...
Data eigenaar: Koninklijk Nederlands Meteorologisch Instituut (Rijk) Bijgewerkt: 24-01-2025 Thema: - Lucht
Informatie over WINS50 - wind at 10-600 meter height for the Netherlands from HARMONIE-AROME with wind farm parameterization as time series per grid point Databronnen over WINS50 - wind at 10-600 meter height for the Netherlands from HARMONIE-AROME with wind farm parameterization as time series per grid point -
Winds of the North Sea in 2050 (WINS50): wind speed, wind direction, temperature, pressure and relative humidity at 10-600 meter height from a reanalysis for 2020 with the NWP model HARMONIE-AROME nes...
Data eigenaar: Koninklijk Nederlands Meteorologisch Instituut (Rijk) Bijgewerkt: 02-11-2024 Thema: - Lucht
Informatie over WINS50 - wind at 10-600 meter height for the Netherlands from HARMONIE-AROME with wind farm parameterization and a 2050 wind farm scenario as daily files Databronnen over WINS50 - wind at 10-600 meter height for the Netherlands from HARMONIE-AROME with wind farm parameterization and a 2050 wind farm scenario as daily files -
Winds of the North Sea in 2050 (WINS50): wind speed, wind direction, temperature, pressure and relative humidity at 10-600 meter height from a reanalysis for 2020 with the NWP model HARMONIE-AROME nes...
Data eigenaar: Koninklijk Nederlands Meteorologisch Instituut (Rijk) Bijgewerkt: 02-11-2024 Thema: - Lucht
Informatie over WINS50 - wind at 10-600 meter height for the Netherlands from HARMONIE-AROME with wind farm parameterization and a 2050 wind farm scenario as time series per grid point Databronnen over WINS50 - wind at 10-600 meter height for the Netherlands from HARMONIE-AROME with wind farm parameterization and a 2050 wind farm scenario as time series per grid point
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