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The Global Ensemble Forecast System (GEFS) is a National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Prediction (NCEP) weather forecast model. GEFS creates 31 separate forecasts (ensemble members) to describe the range of forecast uncertainty.
These datasets have been translated to cloud-optimized Icechunk Zarr format by [dynamical.org](https://dynamical.org).
- [NOAA GEFS forecast, 35 day](https://dynamical.org/catalog/noaa-gefs-forecast-35-day/) - Weather forecasts from the Global Ensemble Forecast System (GEFS) operated by NOAA NWS NCEP.
- [NOAA GEFS analysis](https://dynamical.org/catalog/noaa-gefs-analysis/) - Weather analysis from the Global Ensemble Forecast System (GEFS) operated by NOAA NWS NCEP.
Overview
The Global Ensemble Forecast System (GEFS) is a National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Prediction (NCEP) weather forecast model. GEFS creates 31 separate forecasts (ensemble members) to describe the range of forecast uncertainty.
These datasets have been translated to cloud-optimized Icechunk Zarr format by dynamical.org .
- NOAA GEFS forecast, 35 day - Weather forecasts from the Global Ensemble Forecast System (GEFS) operated by NOAA NWS NCEP.
- NOAA GEFS analysis - Weather analysis from the Global Ensemble Forecast System (GEFS) operated by NOAA NWS NCEP.
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
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This is a publicly available data set. No subscription is required.
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Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- NOAA GEFS Icechunk Zarr data
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::dynamical-noaa-gefs
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://dynamical-noaa-gefs/
- Description
- Notifications for dataset updates
- Resource type
- SNS topic
- Amazon Resource Name (ARN)
- arn:aws:sns:us-west-2:761136292730:dynamical-noaa-gefs-object_created
- AWS region
- us-west-2
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How to cite
NOAA GEFS - dynamical.org Icechunk Zarr was accessed on DATE from https://registry.opendata.aws/dynamical-noaa-gefs .
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Similar products
The Global Forecast System (GFS) is a National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Prediction (NCEP) weather forecast model that generates data for dozens of atmospheric and land-soil variables, including temperatures, winds, precipitation, soil moisture, and atmospheric ozone concentration. The system couples four separate models (atmosphere, ocean model, land/soil model, and sea ice) that work together to depict weather conditions.
These datasets have been translated to cloud-optimized Icechunk Zarr format by dynamical.org.
NOAA GFS analysis - Weather analysis from the Global Forecast System (GFS) operated by NOAA NWS NCEP.
NOAA GFS forecast - Weather forecasts from the Global Forecast System (GFS) operated by NOAA NWS NCEP.
The NOAA Multi-Radar/Multi-Sensor System (MRMS) integrates data from multiple radars and radar networks, surface observations, numerical weather prediction (NWP) models, and climatology to generate seamless, high spatio-temporal resolution mosaics at low latency focused on hail, wind, tornado, quantitative precipitation estimations, convection, icing, and turbulence.
These datasets have been translated to cloud-optimized Icechunk Zarr format by dynamical.org.
NOAA MRMS CONUS analysis, hourly - Hourly precipitation analysis from the Multi-Radar Multi-Sensor (MRMS) system operated by NOAA NWS NCEP.
The High-Resolution Rapid Refresh (HRRR) is a NOAA real-time 3-km resolution, hourly updated, cloud-resolving, convection-allowing atmospheric model, initialized by 3km grids with 3km radar assimilation. Radar data is assimilated in the HRRR every 15 min over a 1-h period adding further detail to that provided by the hourly data assimilation from the 13km radar-enhanced Rapid Refresh.
These datasets have been translated to cloud-optimized Icechunk Zarr format by dynamical.org.
NOAA HRRR forecast, 18 hour, virtual - Weather forecasts from the High-Resolution Rapid Refresh (HRRR) model operated by NOAA NWS NCEP.
NOAA HRRR forecast, 48 hour - Weather forecasts from the High-Resolution Rapid Refresh (HRRR) model operated by NOAA NWS NCEP.
NOAA HRRR forecast, 48 hour, virtual
The Artificial Intelligence Forecasting System (AIFS) is a data driven forecast model developed by the European Centre for Medium-Range Weather Forecasts (ECMWF). AIFS ENS is the ensemble configuration of AIFS, containing 51 ensemble members. AIFS is trained on ECMWF's ERA5 re-analysis and ECMWF's operational numerical weather prediction (NWP) analyses.
These datasets have been translated to cloud-optimized Icechunk Zarr format by dynamical.org.
ECMWF AIFS ENS forecast - Ensemble weather forecasts from the ECMWF Artificial Intelligence Forecasting System (AIFS) ENS model.