Datasets
This experiment contains 20 years of re-forecasts with 9 start dates twice a week between 12 December and 12 January of the following year. ensemble size is 11 members.
Examples
Interval/period: N/A
This experiment contains 20 years of re-forecasts with 9 start dates twice a week between 12 December and 12 January of the following year. ensemble size is 11 members.
Examples
Interval/period: N/A
This experiment contains 20 years of re-forecasts with 9 start dates twice a week between 12 December and 12 January of the following year. ensemble size is 11 members.
Examples
Interval/period: N/A
This experiment contains 20 years of re-forecasts with 9 start dates twice a week between 12 December and 12 January of the following year. ensemble size is 11 members.
Examples
Interval/period: N/A
This experiment contains 20 years of re-forecasts with 9 start dates twice a week between 12 December and 12 January of the following year. ensemble size is 11 members.
Examples
Interval/period: N/A
This experiment contains 20 years of re-forecasts with 9 start dates twice a week between 12 December and 12 January of the following year. ensemble size is 11 members.
Examples
Interval/period: N/A
This experiment contains 20 years of re-forecasts with 9 start dates twice a week between 12 December and 12 January of the following year. ensemble size is 11 members.
Examples
Interval/period: N/A
This experiment contains 20 years of re-forecasts with 9 start dates twice a week between 12 December and 12 January of the following year. ensemble size is 11 members.
Examples
Interval/period: N/A
This experiment contains 20 years of re-forecasts with 9 start dates twice a week between 12 December and 12 January of the following year. ensemble size is 11 members.
Examples
Interval/period: N/A
This experiment contains 20 years of re-forecasts with 9 start dates twice a week between 12 December and 12 January of the following year. ensemble size is 11 members.
Examples
Interval/period: N/A
Aurora: a deep learning-based system developed by Microsoft. It is initialised with ECMWF analysis. Aurora operates at 0.1° resolution.
Interval/period: N/A
Aurora: a deep learning-based system developed by Microsoft. It is initialised with ECMWF analysis. Aurora operates at 0.1° resolution.
Interval/period: N/A
Aurora: a deep learning-based system developed by Microsoft. It is initialised with ECMWF analysis. Aurora operates at 0.1° resolution.
Interval/period: N/A
Aurora: a deep learning-based system developed by Microsoft. It is initialised with ECMWF analysis. Aurora operates at 0.1° resolution.
Interval/period: N/A
Aurora: a deep learning-based system developed by Microsoft. It is initialised with ECMWF analysis. Aurora operates at 0.1° resolution.
Interval/period: N/A
Aurora: a deep learning-based system developed by Microsoft. It is initialised with ECMWF analysis. Aurora operates at 0.1° resolution.
Interval/period: N/A
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.
Interval/period: N/A
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.
Interval/period: N/A
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.
Interval/period: N/A
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.
Interval/period: N/A
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.
Interval/period: N/A
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.
Interval/period: N/A
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.
Interval/period: N/A
GraphCast (Google DeepMind): a deep learning-based system developed by Google DeepMind.It is initialised with ECMWF analysis. GraphCast operates at 0.25° resolution.
Interval/period: N/A
GraphCast (Google DeepMind): a deep learning-based system developed by Google DeepMind.It is initialised with ECMWF analysis. GraphCast operates at 0.25° resolution.
Interval/period: N/A