ECMWF Open Data (real-time)

This collection offers 14 whole-atmosphere parameters from the Met Office global deterministic 10km forecast. This is a numerical weather prediction forecast for the whole globe, with a resolution of approximately 0.09 degrees i.e. 10km (2,560 x 1,920 grid points). The data is available as NetCDF files. It's offered on a free, unsupported basis, so we don't recommend using it for any critical business purposes. ## Timesteps The following timesteps are available: * every hour from 0 to 54 hours (for most parameters, see parameter table for exceptions) * every 3 hours from 57 to 144 hours * every 6 hours from 150 to 168 hours ## Update Frequency The model is run four times each day, with forecast reference times of 00:00, 06:00, 12:00 and 18:00 (UTC). The runs at 00:00 and 12:00 provide data for the next 168 hours. The runs at 06:00 and 18:00 provide data for the next 67 hours. The forecast reference time represents the nominal data time or start time of a model forecast run, rather than the time when the data is available. ## Archive length and latency As of December 2025, the archive contains data from December 2023 onwards. Forecasts will continue to be available for at least two years from their data date. The data is typically available 6 hours after the model run time. ## Technical specs The data is available as NetCDF files. NetCDF (Network Common Data Form) is an interface for array-orientated data access and a library that supports the interface. It is composed of 3 components: * Variables store the data * Dimensions give relevant dimension information for the variables * Attributes provide auxiliary information about the variables or dataset itself NetCDF is used within the atmospheric and oceanic science communities and is network transparent, allowing for it to be accessed by computers that store integers, characters and floating-point numbers. Iris supports NetCDF files through reading, writing and handling. Iris implements a model based on the CF conventions, giving a format-agnostic interface for working with data. Find further support on using Iris with NetCDF files. ## Help us improve the data services we offer Join the Met Office research panel to help us understand how people interact with weather and climate data, uncover challenges and explore opportunities. ## How to cite Met Office global deterministic 10km forecast was accessed on DATE from the Microsoft Planetary Computer (https://zenodo.org/records/7261897). ## License British Crown copyright 2023-2025, the Met Office, is licensed under CC BY-SA. ## Providers Met Office See all datasets managed by Met Office. ## Contact [servicedesk@metoffice.gov.uk](mailto:servicedesk@metoffice.gov.uk). Service desk is only available Mon – Fri, 09:00 until 17:00 UTC (-1 hour during BST). As a non-operational service we aim to respond to any service support enquiries within 3-5 business days.

This data can be used to identify how forecasted precipitation may differ from the long term average, for a given location and time of the year. These anomalies are calculated by the European Centre for Medium-Range Weather Forecasts (ECMWF) and are based on their SEAS5 seasonal precipitation forecast. SEAS5 is an ensemble forecast, meaning that the weather model outputs many possible scenarios, leading to probabilistic outcomes. The data presented here is the result of averaging all outputs (the “ensemble mean”). Additional postprocessing has been applied here to aggregate ECMWF’s gridded outputs across administrative boundaries (at both admin 0 and admin 1 levels). The gridded product can also be accessed from the Copernicus Climate Data Store (CDS). Data is available on the 5th of each month, with up to 6 months of lead time (including the current month). Anomaly values are in mm/month, with positive values indicating above average precipitation. The resources in this dataset include: - Full admin 0 historical record of anomalies (forecast_precipitation_anomalies_adm0.csv) - Recent admin 1 global anomalies (forecast_precipitation_anomalies_adm1_global_3yrs.csv) - Full admin 1 historical record of anomalies, separated by region (forecast_precipitation_anomalies_adm1_{region}.csv) - Geotiffs of anomalies based on latest forecast (forecast_precipitation_anomalies_geotiff_{forecast_date}.zip)

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

This collection offers 11 whole-atmosphere parameters from the Met Office UKV 2km deterministic forecast. This is a high-resolution gridded weather forecast for the UK, with a resolution of 0.018 degrees, projected on to a 2km horizontal grid. The data is available as NetCDF files. ## Coverage area The forecast covers the UK and Ireland, with the following latitude and longitude coordinates for each corner of the included area: * Southwest: 48.8643°N, 10.6734°W * Northwest: 61.3322°N, 13.7254°W * Northeast: 61.6102°N, 4.3408°E * Southeast: 49.0594°N, 2.4654°E ## Timesteps The following time steps are available: * every hour from 0 to 54 hours * every 3 hours from 57 to 120 hours Exceptions: * CAPE surface (CAPE_surface) has 15 minutely timesteps from 0 to 12 hours, hourly timesteps from 13 to 54 hours and 3 hourly timesteps from 57 to 120 hours * Hourly lightning flash accumulation (lightning_flash_accumulation-PT01H) is only available every hour from 1 to 54 hours ## Update frequency There are three lengths of model run, each with its own update frequency: There are three lengths of model run, each with its own update frequency: * Nowcast: forecasts the next 12 hours and are at 0100, 0200, 0400, 0500, 0700, 0800, 1000, 1100, 1300, 1400, 1600, 1700, 1900, 2000, 2200 and 2300 UTC. * Short: forecasts the next 54 hours and are at 0000, 0600, 0900, 1200, 1800 and 2100 UTC. * Medium: forecasts the next 120 hours and are at 0300 and 1500 UTC. ## Archive length and latency As of December 2025, the archive contains data from December 2023 onwards. Forecasts will continue to be available for at least two years from their data date. The data is typically available 3-6 hours after the model run time. ## Technical specs The data is available as NetCDF files. NetCDF (Network Common Data Form) is an interface for array-orientated data access and a library that supports the interface. It is composed of 3 components: * variables store the data * dimensions give relevant dimension information for the variables * attributes provide auxiliary information about the variables or dataset itself NetCDF is used within the atmospheric and oceanic science communities and is network transparent, allowing for it to be accessed by computers that store integers, characters and floating-point numbers. Iris supports NetCDF files through reading, writing and handling. Iris implements a model based on the CF conventions, giving a format-agnostic interface for working with data. Find further support on using Iris with NetCDF files. ## Help us improve the data services we offer Join the Met Office research panel to help us understand how people interact with weather and climate data, uncover challenges and explore opportunities. ## How to cite UKV 2km deterministic forecast was accessed on DATE from the Microsoft Planetary Computer (https://zenodo.org/records/7261897). ## License British Crown copyright 2023-2025, the Met Office, is licensed under CC BY-SA. ## Providers Met Office See all datasets managed by Met Office. ## Contact [servicedesk@metoffice.gov.uk](mailto:servicedesk@metoffice.gov.uk). Service desk is only available Mon – Fri, 09:00 until 17:00 UTC (-1 hour during BST). As a non-operational service we aim to respond to any service support enquiries within 3-5 business days.

The Sentinel-6 P4 Level 1B Short Time Critical (STC) product provides intermediate-latency ocean surface data, including sea surface height, wind speed, and wave height. It is tailored for oceanographic modeling and data assimilation purposes. Data are organized by full satellite passes (pole-to-pole) and are typically delivered within 36 hours of acquisition. The product is provided in NetCDF format and ensures consistent quality for near-operational applications.

The Sentinel-6 P4 Level 2 Short Time Critical (STC) product provides medium-latency ocean surface data, including sea surface height, wind speed, and wave height, tailored for ocean modelling and assimilation purposes. The data are organized by full satellite passes (pole-to-pole) and are delivered within 36 hours of acquisition. The product is available in NetCDF format and ensures consistent quality for near-operational applications.