ECMWF SEAS5 Seasonal Forecasts - Anomalous Precipitation

GFS model output is processed into APCP rasters that capture accumulated precipitation over a 7‑day forecast period. These rasters are then combined with watershed boundary data, and zonal statistics are applied to compute average precipitation for each sub‑basin. The final polygon features provide a clear depiction of global rainfall and snowfall patterns, offering critical information for disaster risk management and international water resource planning.

The nested-Experimental Artificial Intelligence (AI) Global and Limited-area Ensemble (nested-EAGLE) is part of the NOAA EAGLE product suite that is designed to bridge the skill of short and medium range weather forecasts (see arXiv for details). It is based on the Anemoi framework developed by the European Centre for Medium-Range Weather Forecasts (ECMWF) and partner agencies, and is trained on the combination a 0.25° Global Forecast System (GFS) data and 6-km High-Resolution Rapid Refresh (HRRR) data over CONUS that produces 10-day forecasts for a range of atmospheric variables. This work was a joint effort between NOAA Research Laboratories and the Earth Prediction Innovation Center (EPIC), and the National Weather Service (NWS). Project EAGLE provides NOAA, the weather enterprise (including government, industry, and academia), and the broader community members with the ability to rapidly test, develop, and demonstrate AI models for global and limited-area ensemble forecasting. For more information, please visit the EPIC website, EAGLE Overview page or the EAGLE repository on GitHub. The nested-EAGLE data are available as netCDF files. It's offered on a free, unsupported basis. We do not recommend using it for any critical operational purposes. Domain Information The nested-EAGLE global data is at a 0.25-degree resolution. To account for the nested grid, the high-resolution nest over the CONUS domain is upsampled by conservatively regridding it from the original 6-km resolution to the 0.25-degree grid. CONUS data at the original 6-km resolution is distributed in a separate collection (nested-eagle-conus). Technical Specifications Archive length October 1st, 2024 - Present Update frequency This model generates forecasts in near-real-time and is initialized 4 times daily for 00, 06, 12, and 18 Z cycles. Forecasts are typically available 6 hours after initialization time. Forecast length Ten days (240 hours) with predictions every 6 hours Levels 2D: surface, 10 meter, and 80 meter 3D: 100, 150, 200, 250, 300, 400, 500, 600, 700, 850, 925, and 1000 hPa Specs The data are stored as netCDF files, one netCDF file per forecast. See the example Jupyter notebooks for guidance on how to load the data. License Information These data are in the worldwide public domain and are licensed under CC BY 4.0.How to Cite The Earth Prediction Innovation Center (EPIC) and the NOAA AI for Numerical Weather Prediction (AI4NWP) Working Group. (2026). The nested-EAGLE (Experimental AI Global and Limited-area Ensemble forecast system) v1.1.0 (Version v1.1.0). Zenodo. https://doi.org/10.5281/zenodo.19672026

Total volume of liquid water (mm3) precipitated over the period 00h-24h local time per unit of area (mm2), per month. Unit: mm month-1. The Precipitation flux variable is part of the Agrometeorological indicators dataset produced by the European Centre for Medium-Range Weather Forecasts (ECMWF) through the Copernicus Climate Change Service (C3S). The Agrometeorological indicators dataset provides daily surface meteorological data for the period from 1979 to present as input for agriculture and agro-ecological studies. This dataset is based on the hourly ECMWF ERA5 data at surface level and is referred to as AgERA5. References: https://doi.org/10.24381/cds.6c68c9bb The Copernicus Climate Change Service (C3S) aims to combine observations of the climate system with the latest science to develop authoritative, quality-assured information about the past, current and future states of the climate in Europe and worldwide. ECMWF operates the Copernicus Climate Change Service on behalf of the European Union and will bring together expertise from across Europe to deliver the service. **Data publication:** 2021-01-30 **Data revision:** 2021-10-05 **Contact points:** Metadata Contact: ECMWF - European Centre for Medium-Range Weather Forecasts Resource Contact: ECMWF Support Portal **Data lineage:** Agrometeorological data were aggregated to daily time steps at the local time zone and corrected towards a finer topography at a 0.1° spatial resolution. The correction to the 0.1° grid was realized by applying grid and variable-specific regression equations to the ERA5 dataset interpolated at 0.1° grid. The equations were trained on ECMWF's operational high-resolution atmospheric model (HRES) at a 0.1° resolution. This way the data is tuned to the finer topography, finer land use pattern and finer land-sea delineation of the ECMWF HRES model. **Resource constraints:** License Permission This License is free of charge, worldwide, non-exclusive, royalty free and perpetual. Access to Copernicus Products is given for any purpose in so far as it is lawful, whereas use may include, but is not limited to: reproduction; distribution; communication to the public; adaptation, modification and combination with other data and information; or any combination of the foregoing. Where the Licensee communicates or distributes Copernicus Products to the public, the Licensee shall inform the recipients of the source by using the following or any similar notice: • 'Generated using Copernicus Climate Change Service information [Year]' and/or • 'Generated using Copernicus Atmosphere Monitoring Service information [Year]' More information on Copernicus License at https://creativecommons.org/licenses/by-sa/4.0/ **Online resources:** Download the data from Google Cloud Storage Download the data from File-Browser

Total volume of liquid water (mm³) precipitated per unit of area (mm²), over the period 00h-24h local time per year. Unit: mm year-1. The Precipitation flux variable is part of the Agrometeorological indicators dataset produced by the European Centre for Medium-Range Weather Forecasts (ECMWF) through the Copernicus Climate Change Service (C3S). The Agrometeorological indicators dataset provides daily surface meteorological data for the period from 1979 to present as input for agriculture and agro-ecological studies. This dataset is based on the hourly ECMWF ERA5 data at surface level and is referred to as AgERA5. References: https://doi.org/10.24381/cds.6c68c9bb Acquisition and pre-processing of the original ERA5 data is a complex and specialized job. By providing the AgERA5 dataset, users are freed from this work and can directly start with meaningful input for their analyses and modelling. The Copernicus Climate Change Service (C3S) aims to combine observations of the climate system with the latest science to develop authoritative, quality-assured information about the past, current and future states of the climate in Europe and worldwide. ECMWF operates the Copernicus Climate Change Service on behalf of the European Union and will bring together expertise from across Europe to deliver the service. **Data publication:** 2021-01-30 **Data revision:** 2021-10-05 **Contact points:** Metadata Contact: ECMWF - European Centre for Medium-Range Weather Forecasts Resource Contact: ECMWF Support Portal **Data lineage:** Agrometeorological data were aggregated to daily time steps at the local time zone and corrected towards a finer topography at a 0.1° spatial resolution. The correction to the 0.1° grid was realized by applying grid and variable-specific regression equations to the ERA5 dataset interpolated at 0.1° grid. The equations were trained on ECMWF's operational high-resolution atmospheric model (HRES) at a 0.1° resolution. This way the data is tuned to the finer topography, finer land use pattern and finer land-sea delineation of the ECMWF HRES model. **Resource constraints:** License Permission This License is free of charge, worldwide, non-exclusive, royalty free and perpetual. Access to Copernicus Products is given for any purpose in so far as it is lawful, whereas use may include, but is not limited to: reproduction; distribution; communication to the public; adaptation, modification and combination with other data and information; or any combination of the foregoing. Where the Licensee communicates or distributes Copernicus Products to the public, the Licensee shall inform the recipients of the source by using the following or any similar notice: • 'Generated using Copernicus Climate Change Service information [Year]' and/or • 'Generated using Copernicus Atmosphere Monitoring Service information [Year]' More information on Copernicus License at https://creativecommons.org/licenses/by-sa/4.0/ **Online resources:** Download the data from Google Cloud Storage Download the data from File-Browser

Total volume of liquid water (mm3) precipitated over the period 00h-24h local time per unit of area (mm2), per dekade. Unit: mm dekade-1. The Precipitation flux variable is part of the Agrometeorological indicators dataset produced by the European Centre for Medium-Range Weather Forecasts (ECMWF) through the Copernicus Climate Change Service (C3S). The Agrometeorological indicators dataset provides daily surface meteorological data for the period from 1979 to present as input for agriculture and agro-ecological studies. This dataset is based on the hourly ECMWF ERA5 data at surface level and is referred to as AgERA5. References: https://doi.org/10.24381/cds.6c68c9bb The Copernicus Climate Change Service (C3S) aims to combine observations of the climate system with the latest science to develop authoritative, quality-assured information about the past, current and future states of the climate in Europe and worldwide. ECMWF operates the Copernicus Climate Change Service on behalf of the European Union and will bring together expertise from across Europe to deliver the service. **Data publication:** 2021-01-30 **Data revision:** 2021-10-05 **Contact points:** Metadata Contact: ECMWF - European Centre for Medium-Range Weather Forecasts Resource Contact: ECMWF Support Portal **Data lineage:** Agrometeorological data were aggregated to daily time steps at the local time zone and corrected towards a finer topography at a 0.1° spatial resolution. The correction to the 0.1° grid was realized by applying grid and variable-specific regression equations to the ERA5 dataset interpolated at 0.1° grid. The equations were trained on ECMWF's operational high-resolution atmospheric model (HRES) at a 0.1° resolution. This way the data is tuned to the finer topography, finer land use pattern and finer land-sea delineation of the ECMWF HRES model. **Resource constraints:** License Permission This License is free of charge, worldwide, non-exclusive, royalty free and perpetual. Access to Copernicus Products is given for any purpose in so far as it is lawful, whereas use may include, but is not limited to: reproduction; distribution; communication to the public; adaptation, modification and combination with other data and information; or any combination of the foregoing. Where the Licensee communicates or distributes Copernicus Products to the public, the Licensee shall inform the recipients of the source by using the following or any similar notice: • 'Generated using Copernicus Climate Change Service information [Year]' and/or • 'Generated using Copernicus Atmosphere Monitoring Service information [Year]' More information on Copernicus License at https://creativecommons.org/licenses/by-sa/4.0/ **Online resources:** Download the data from Google Cloud Storage Download the data from File-Browser

The fire danger forecast provides daily fire danger indices. The continuous raster GeoTIFFs in this dataset are from the ECMWF (~8 km) and NASA Geos-5 (~28 km) models. The Fire Weather Index (FWI) is computed from the ECMWF and NASA Geos-5 models. The FWI is mapped in 6 classes: low, medium, high, very high, extreme and very extreme. The "Very Extreme" class was introduced in June 2021 to discriminate against extensive areas initially classified at "Extreme" in the Mediterranean region during summer months, and includes areas with FWI values above 70.