ECMWF real-time forecasts

air temperatureatmospheremeteorologicalnear-surface air temperaturenear-surface relative humiditynear-surface specific humidityprecipitationweather

These products are a subset of the ECMWF real-time forecast data and are made available to the public free of charge. They are based on the medium-range (high-resolution and ensembles) forecast models. Note: The ECMWF Open Data Portal provides a rolling archive (most recent forecast runs), while the AWS replica bucket is updated as new data are published and may retain older data conventions/versions over time.

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Usage examples

• A collection of Jupyter Notebooks that make use of the ecmwf-opendata package. This package simplifies the download of ECMWF open data. by ECMWF
• Herbie: A Python package to retrieve NWP data. by Brian Blaylock
• A package to simplify the download of ECMWF open data. It implements a request-based interface to the dataset using ECMWF's MARS language to select meteorological fields, similar to the existing ecmwf-api-client Python package. by ECMWF
• Open Data Roadmap - Transition to Open Data by ECMWF

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Met Office Global Ensemble Prediction System (MOGREPS-G) on a 30-day rolling archive

air temperatureatmosphereforecastgeosciencegeospatialglobalmeteorologicalmodelnear-surface air temperaturenear-surface relative humiditynetcdfweather

THIS DATASET IS CHANGING

Files uploaded from late January 2026 onward will contain changes including:

• precision changes
• new parameters
• changes to existing parameters e.g. adding vertical levels and timesteps
• the height_asl_on_pressure_levels parameter will be replaced by geopotential_height_on_pressure_levels
  
  

Please check your systems are prepared for these changes.

A numerical weather prediction model that produces forecasts for the whole globe up to a week ahead. The projection used is the Equirectangular Latitude-Longitude and the grid resolution is 20km. 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.

Met Office Global Ensemble Prediction System (MOGREPS-G) is a global configuration of the Unified Model, which is the Met Office's flagship Numerical Weather Prediction model.

The archive contains 30 days of data. The data is typically available approximately 10-11 hours after the model run time.

The following timesteps are available:

• Every hour from 0 to 54 hours or from 0 to 132 hours (depending on the parameter)
• Every 3 hours...

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  Usage examples

  • The Met Office Unified Model by Met Office
  • Numerical weather prediction models by Met Office
  • What is an ensemble forecast? by Met Office
  • Iris by Iris Contributors

  See 4 usage examples →

Met Office Global and Regional Ensemble Prediction System - UK (MOGREPS-UK) on a 30-day rolling archive

air temperatureatmosphereforecastgeosciencegeospatialglobalmeteorologicalmodelnear-surface air temperaturenear-surface relative humiditynetcdfweather

THIS DATASET IS CHANGING

Files uploaded from late January 2026 onward will contain changes including:

• precision changes
• new parameters
• changes to existing parameters e.g. adding vertical levels and timesteps
• the height_asl_on_pressure_levels parameter will be replaced by geopotential_height_on_pressure_levels
  
  

Please check your systems are prepared for these changes.

A numerical weather prediction model that produces forecasts for the UK for the next 5 days. Parameters including temperature, pressure, wind, humidity, etc. are forecast at grid points separated by about 2.2 km, and the model has multiple vertical levels. 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.

Met Office Global and Regional Ensemble Prediction System - UK (MOGREPS-UK) is a UK configuration of the Unified Model, which is the Met Office's flagship Numerical Weather Prediction model.

The archive contains 30 days of data. The data is typically available approximately 10-11 hours after the model run time.

For most parameters, timesteps are pro...

Details →

Usage examples

• Numerical weather prediction models by Met Office
• What is an ensemble forecast? by Met Office
• Iris by Iris Contributors
• The Met Office Unified Model by Met Office

See 4 usage examples →

Met Office Global Deterministic 10km on a 2-year rolling archive

air temperatureatmosphereforecastgeosciencegeospatialmodelnear-surface air temperaturenear-surface relative humiditynetcdfweather

THIS DATASET IS CHANGING

Files uploaded from late January 2026 onward will contain changes including:

• precision changes
• new parameters
• changes to existing parameters e.g. adding vertical levels and timesteps
• the height_asl_on_pressure_levels parameter will be replaced by geopotential_height_on_pressure_levels
  
  

Please check your systems are prepared for these changes.

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.

The global deterministic model is a global configuration of the Unified Model, which is the Met Office’s flagship Numerical Weather Prediction model. The model’s initial state is kept close to the real atmosphere using hybrid 4D-Var data assimilation.

The archive contains data from the past two years. The data is typically available approximately 3 to 6 hours after the model run time.

The following timesteps are available for most parameters:

• every hour from 0 to 54 hours
• every 3 hours from 57 to 144 hours
• every 6...

  Details →

  Usage examples

  • The Met Office Unified Model by Met Office
  • Numerical weather prediction models by Met Office
  • Iris by Iris Contributors

  See 3 usage examples →

Met Office UK Deterministic (UKV)2km on a 2-year rolling archive

air temperatureatmosphereforecastgeosciencegeospatialmodelnear-surface air temperaturenear-surface relative humiditynetcdfweather

THIS DATASET IS CHANGING

Files uploaded from late January 2026 onward will contain changes including:

• precision changes
• new parameters
• changes to existing parameters e.g. adding vertical levels and timesteps
• the height_asl_on_pressure_levels parameter will be replaced by geopotential_height_on_pressure_levels
  
  

Please check your systems are prepared for these changes.

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. It's offered on a free, unsupported basis, so we don’t recommend using it for any critical business purposes.

Based on the Met Office UKV model, which is a deterministic, numerical weather prediction model for the UK and Ireland. It is a UK configuration of the Unified Model, which is the Met Office’s flagship Numerical Weather Prediction model.

The archive contains data from the past two years. The data is typically available approximately 3 to 6 hours after the model run time.

The following timesteps are available:

• every hour from 0 to 54 hours (for most parameters)
• every 3 hours from 57 to 120 hours
  
  

For ...

Details →

Usage examples

• Numerical weather prediction models by Met Office
• The Met Office Unified Model by Met Office
• Iris by Iris Contributors

See 3 usage examples →

NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6)

air temperatureclimateclimate modelclimate projectionsCMIP6cogearth observationenvironmentalglobalmodelNASA Center for Climate Simulation (NCCS)near-surface relative humiditynear-surface specific humiditynetcdfprecipitation

The NEX-GDDP-CMIP6 dataset is comprised of global downscaled climate scenarios derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 6 (CMIP6) and across two of the four "Tier 1" greenhouse gas emissions scenarios known as Shared Socioeconomic Pathways (SSPs). The CMIP6 GCM runs were developed in support of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR6). This dataset includes downscaled projections from ScenarioMIP model runs for which daily scenarios were produced and distributed...

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Usage examples

• NASA and ASDI announce no-cost access to important climate dataset on the AWS Cloud by Dr. Manil Maskey and Ana Pinheiro Privette
• NEX-GDDP-CMIP6 Dashboard by NASA
• NASA Global Daily Downscaled Projections, CMIP6 by Thrasher, B., Wang, W., Michaelis, A., Melton, F., Lee, T. and Nemani, R.

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Danish Meteorological Institute (DMI) Reanalysis dataset v0.5

air temperatureatmospheregeospatialgloballandmeteorologicalmodelnear-surface air temperaturenear-surface relative humiditynear-surface specific humiditywaterweatherzarr

DANRA is a high-resolution meteorological reanalysis dataset for Denmark and Northwestern Europe covering the period September 1990 to December 2023

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Usage examples

• DANRA figures by Danish Meteorological Institute
• Looking at distributions by Danish Meteorological Institute

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Danish Meteorological Institute (DMI) Open Data Forecasts

air temperatureatmosphereforecastmeteorologicalmodelnear-surface air temperaturenear-surface relative humiditynear-surface specific humidityocean circulationocean currentsocean sea surface heightocean simulationocean velocityoceanstime series forecastingweather

DMI forecast data consist of various models where each model contains different set of parameters relating to a specific domain like ocean (WAM), storm flooding (DKSS) or weather (HARMONIE)

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Usage examples

• Guide to processing forecast data with Python by Danish Meteorological Institute

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EPA Dynamically Downscaled Ensemble (EDDE) Version 1

agricultureair qualityair temperatureatmosphereclimateclimate modelclimate projectionsCMIP5CMIP6ecosystemselevationenvironmentalEulerianeventsfloodsfluid dynamicsgeosciencegeospatialhdf5healthHPChydrologyinfrastructureland coverland usemeteorologicalmodelnear-surface air temperaturenear-surface relative humiditynear-surface specific humiditynetcdfopen source softwarephysicspost-processingprecipitationradiationsimulationsuswaterweather

The data are a subset of the EPA Dynamically Downscaled Ensemble (EDDE), Version 1. EDDE is a collection of physics-based modeled data that represent 3D atmospheric conditions for historical and future periods under different scenarios. The EDDE Version 1 datasets cover the contiguous United States at a horizontal grid spacing of 36 kilometers at hourly increments. EDDE Version 1 includes simulations that have been dynamically downscaled from multiple global climate models (GCMs) under both mid- and high-emission scenarios from the Fifth Coupled Model Intercomparison Project (CMIP5) using the...

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EPA Dynamically Downscaled Ensemble (EDDE) Version 2

agricultureair qualityair temperatureatmosphereclimateclimate modelclimate projectionsCMIP5CMIP6ecosystemselevationenvironmentalEulerianeventsfloodsfluid dynamicsgeosciencegeospatialhdf5healthHPChydrologyinfrastructureland coverland usemeteorologicalmodelnear-surface air temperaturenear-surface relative humiditynear-surface specific humiditynetcdfopen source softwarephysicspost-processingprecipitationradiationsimulationsuswaterweather

The data are a subset of the EPA Dynamically Downscaled Ensemble (EDDE), Version 2. EDDE is a collection of physics-based modeled data that represent 3D atmospheric conditions for historical and future periods under different scenarios. The EDDE Version 2 datasets cover the contiguous United States at a horizontal grid spacing of 12 kilometers at hourly increments. EDDE Version 2 will include simulations that have been dynamically downscaled from multiple global climate models (GCMs) under multiple emission scenarios from the Sixth Coupled Model Intercomparison Project (CMIP6) using the Weath...

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GRAF Reforecast

atmospherecloud amountERA5forecastgeosciencegeospatialmodelMPASnear-surface air temperaturenear-surface relative humidityprecipitationvisibilityweatherwind speedszarr

A zarr-formatted dataset of 1836 reforecast cases (approx. 5 years) from The Weather Company GRAF (Global high-Resolution Atmospheric Forecasting) model, a version of the National Center for Atmospheric Research (NCAR) Model for Predictions Across Scales (MPAS). GRAF is global, but the configuration for this reforecast had a mesh refinement to approx. 4 km over the US, Caribbean Basin, and Europe, and 15 km elsewhere. This model was designed to run much of its computation on graphical processing units, with this development assisted by NVIDIA. The 1836 cases (approx. 5 years) were generated fr...

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Usage examples

• Global reforecasts from MPAS “GRAF” with mesh refinement over the US and Europe by Thomas M. Hamill, Raghu Raj Prasanna Kumar, Karthik Kashinath2, Carl Ponder, Mike Pritchard, Tao Ge, Akshay Subramanian, Jaideep Pathak, John Wong, Brett Wilt, Peter Neilley

See 1 usage example →