Datasets
FourCastNet v2-small:a deep learning-based system developed by NVIDIA in collaboration with researchers at several US universities.It is initialised with ECMWF analysis. FourCastNet operates at 0.25° resolution.
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FourCastNet v2-small:a deep learning-based system developed by NVIDIA in collaboration with researchers at several US universities.It is initialised with ECMWF analysis. FourCastNet operates at 0.25° resolution.
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GraphCast (Google DeepMind): a deep learning-based system developed by Google DeepMind.It is initialised with ECMWF analysis. GraphCast operates at 0.25° resolution.
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GraphCast (Google DeepMind): a deep learning-based system developed by Google DeepMind.It is initialised with ECMWF analysis. GraphCast operates at 0.25° resolution.
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GraphCast (Google DeepMind): a deep learning-based system developed by Google DeepMind.It is initialised with ECMWF analysis. GraphCast operates at 0.25° resolution.
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GraphCast (Google DeepMind): a deep learning-based system developed by Google DeepMind.It is initialised with ECMWF analysis. GraphCast operates at 0.25° resolution.
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Detailed information on these EXPERIMENTAL products can be found
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Detailed information on these EXPERIMENTAL products can be found
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**These are experimental products and subject to change based on user feedback** These ...
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b'Detailed information on these EXPERIMENTAL products can be found
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Interval/period: Wed, 01/01/2003 - Sun, 12/31/2017
This dataset provides aerosol optical depths and aerosol-radiation radiative effects for four different aerosol origins: anthropogenic, mineral dust, marine, and land-based fine-mode natural aerosol. The latter mostly consists of biogenic aerosols.
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carbon dioxide
methane
tropospheric ozone
stratospheric ozone
interactions between anthropogenic aerosols and radiation
interactions between anthropogenic aerosols and clouds
Interval/period: Wed, 01/01/2003 - Sun, 12/31/2017
This dataset provides geographical distributions of the radiative forcing (RF) by key atmospheric constituents. The radiative forcing estimates are based on the CAMS reanalysis and additional model simulations and are provided separately for...
- carbon dioxide
- methane
- tropospheric ozone
- stratospheric ozone
- interactions between anthropogenic aerosols and radiation
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Interval/period: Wed, 01/01/2003 - Thu, 10/31/2024
EAC4 (ECMWF Atmospheric Composition Reanalysis 4) is the fourth generation ECMWF global reanalysis of atmospheric composition. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using a model of the atmosphere based on the laws of physics and chemistry.
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Interval/period: Wed, 01/01/2003 - Sun, 12/31/2023
EAC4 (ECMWF Atmospheric Composition Reanalysis 4) is the fourth generation ECMWF global reanalysis of atmospheric composition. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using a model of the atmosphere based on the laws of physics and chemistry.
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irradiation, as well as direct normal irradiation, on a latitude/longitude grid
covering land surfaces and coastal areas of Europe, Africa, Oceania, Eastern
South America, the Middle East and South-East Asia. It is created from 15 minute
resolved timeseries at each grid point. These timeseries were calculated by the
CAMS Solar Radiation Time Series Service and use information on aerosol, ozone
Interval/period: Sat, 01/01/2005 - Sun, 12/31/2023
The CAMS solar radiation services provide historical values (2004 to present) of global (GHI), direct (BHI) and diffuse (DHI) solar irradiation, as well as direct normal irradiation (BNI). The aim is to fulfil the needs of European and national policy development and the requirements of both commercial and public downstream services, e.g. for planning, monitoring, efficiency improvements and the integration of solar energy systems into energy supply grids.
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Interval/period: Tue, 10/01/2002 - Mon, 06/30/2025
The storm daniel record precipitation event in central greece (produced the highest rainfall ever recorded in Europe) between 4/09-07/09 2023 is simulated with the 2.8km resolution version of the global IFS i.e.Tco3999 grid with 137 vertical levels.
Examples
retrieve, class=rd, stream=oper, expver=i5aw, type=fc, levtype=sfc, param=tp, date=2023-09-04, time=00:00:00, step=72, target='output.grib'total 72 hours precipi - execute before: export MARS_READANY_BUFFER_SIZE=768896196
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