3109 resultaten gevonden
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The KNMI'23 climate scenarios are based on 240 years (8 ensembles of 30 years each) of RACMO (Regional Atmospheric Climate Model) v2.3 data for every horizon/scenario. The data in this set is a user-friendly version of the RACMO putput that was used to calculate the scenario tables. ‘User-friendly’ means that the data is mapped to a regular lat/lon grid, and that the time coordinate correspond…
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The KNMI'23 climate scenarios are based on 240 years (8 ensembles of 30 years each) of RACMO (Regional Atmospheric Climate Model) v2.3 data for every horizon/scenario. The data in this set is a user-friendly version of the RACMO putput that was used to calculate the scenario tables. ‘User-friendly’ means that the data is mapped to a regular lat/lon grid, and that the time coordinate correspond…
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The KNMI'23 climate scenarios are based on 240 years (8 ensembles of 30 years each) of RACMO (Regional Atmospheric Climate Model) v2.3 data for every horizon/scenario. The data in this set is a user-friendly version of the RACMO putput that was used to calculate the scenario tables. ‘User-friendly’ means that the data is mapped to a regular lat/lon grid, and that the time coordinate correspond…
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The KNMI'23 climate scenarios are based on 240 years (8 ensembles of 30 years each) of RACMO (Regional Atmospheric Climate Model) v2.3 data for every horizon/scenario. The data in this set is a user-friendly version of the RACMO putput that was used to calculate the scenario tables. ‘User-friendly’ means that the data is mapped to a regular lat/lon grid, and that the time coordinate correspond…
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The KNMI'23 climate scenarios are based on 240 years (8 ensembles of 30 years each) of RACMO (Regional Atmospheric Climate Model) v2.3 data for every horizon/scenario. The data in this set is a user-friendly version of the RACMO putput that was used to calculate the scenario tables. ‘User-friendly’ means that the data is mapped to a regular lat/lon grid, and that the time coordinate correspond…
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The KNMI'23 climate scenarios are based on 240 years (8 ensembles of 30 years each) of RACMO (Regional Atmospheric Climate Model) v2.3 data for every horizon/scenario. The data in this set is a user-friendly version of the RACMO putput that was used to calculate the scenario tables. ‘User-friendly’ means that the data is mapped to a regular lat/lon grid, and that the time coordinate correspond…
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The KNMI'23 climate scenarios are based on 240 years (8 ensembles of 30 years each) of RACMO (Regional Atmospheric Climate Model) v2.3 data for every horizon/scenario. The data in this set is a user-friendly version of the RACMO putput that was used to calculate the scenario tables. ‘User-friendly’ means that the data is mapped to a regular lat/lon grid, and that the time coordinate correspond…
HTML -
The KNMI'23 climate scenarios are based on 240 years (8 ensembles of 30 years each) of RACMO (Regional Atmospheric Climate Model) v2.3 data for every horizon/scenario. The data in this set is a user-friendly version of the RACMO putput that was used to calculate the scenario tables. ‘User-friendly’ means that the data is mapped to a regular lat/lon grid, and that the time coordinate correspond…
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Altitude wind forecasts spanning up to 200 meters, catering to multiple locations in the Netherlands and the North Sea region. It relies on inputs like wind direction, wind speed, and total cloud cover extracted from the Harmonie model, employing these parameters to calculate Pasquill stability classes. Output frquency is every 3 hours. Note: since 'hoogtewinden_2024021406.html' a bug causing NaN…
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Altitude wind forecasts spanning up to 200 meters, catering to multiple locations in the Netherlands and the North Sea region. It relies on inputs like wind direction, wind speed, and total cloud cover extracted from the Harmonie model, employing these parameters to calculate Pasquill stability classes. Output frquency is every 3 hours. Note: since 'hoogtewinden_2024021406.html' a bug causing NaN…
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