Datasets Quick Reference
GEOGLOWS V2 Datasets
All GEOGLOWS V2 datasets are sponsored by the AWS Open Data Sponsorship Program. This makes our datasets publicly available and available at no cost to the consumer. You do not need an AWS account, credit card, or a user name and password to use this AWS service to access GEOGLOWS data. You can view our listing in the registry of open data and in the AWS Data Exchange.
Registry of Open Data: https://registry.opendata.aws/geoglows-v2/
AWS Data Exchange: https://aws.amazon.com/marketplace/pp/prodview-aboaljwcz64zs
Model Configs, GIS Data, Metadata
The stream network, model configuration files, and many supporting metadata files:
Additional code used in GEOGLOWS:
TDX-Hydro post processing preparation for hydrological modeling: https://github.com/geoglows/tdxhydro-postprocessing
Forecast computation scripts: https://github.com/geoglows/geoglows_ecflow
Retrospective weekly update scripts: https://github.com/geoglows/retrospective-update
Version of RAPID (muskingum channel routing) software used: https://github.com/c-h-david/rapid/releases/tag/20240224
Forecast Data and Summaries
GEOGLOWS daily river forecasts are calculated at the ECMWF Supercomputing facility in Bologna, Italy. The forecasts are archived there as well as on AWS in S3. In addition, The forecast data are available through a data service.
Retrospective Simulation and Return Periods (Historical Simulation)
GEOGLOWS restrospective (or historical simulation) data and return period estimates. The retrospective simulation is updated weekly. The retrospective simulation is based on the ERA5 dataset. New ERA5 data becomes available daily with approximately 1 week lag (minimum 5 days) from real time which means the least possible amount of lag is 1 week. Once a week, we use all the newly produced ERA5 data since the last simulation to extend the retrospective simulation as far as possible. You should notice the historical simulation alternates between 1-2 weeks of lag from real time.
Downloading data from the command line interface (recommended)
The fastest way to download GEOGLOWS data using the AWS Command Line Interface. If you are not familiar with programming or command line tools, please skip to the next section on downloading data with a web browser.
Using the CLI will download data faster than the through the browser and is recommended for downloading large amounts of data. Please refer to the AWS instructions for downloading data from S3. You may need to add the --no-sign-request flag on your copy or sync commands.
Buckets:
s3://geoglows-v2
s3://geoglows-v2-forecasts
s3://geoglows-v2-retrospective
Region: us-west-2
Downloading data with a web browser
The simplest way to browse the GEOGLOWS V2 datasets is by using the websites which let you browse the datasets available. This is not the fastest way. For better performance downloading data, you should use the command line interface instructions.
Model configurations and GIS datasets: http://geoglows-v2.s3-website-us-west-2.amazonaws.com/
Daily forecast outputs: http://geoglows-v2-forecasts.s3-website-us-west-2.amazonaws.com/
Retrospective (Historical) Simulations: http://geoglows-v2-retrospective.s3-website-us-west-2.amazonaws.com/