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

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

This product is part of the Amazon Sustainability Data Initiative and contains data sets that are publicly available for anyone to access and use. No subscription is required. Unless specifically stated in the applicable data set documentation, data sets available through the Amazon Sustainability Data Initiative are not provided and maintained by AWS.

Description

The flagship Numerical Weather Prediction (NWP) model developed and used at the Met Office, is the Unified Model, the same model is used for both weather and climate prediction. For weather forecasting the Met Office runs several configurations of the Unified Model as part of its operational Numerical Weather Prediction suite. The global ensemble (MOGREPS-G) 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 forecast is updated regularly with a 4-hour time delay and formatted via NetCDF. Please note this is a public beta and therefore a non-operational service.

License

British Crown copyright 2024-2025, the Met Office, is licensed under CC BY-SA 

How to cite

Met Office Global Ensemble Prediction System (MOGREPS-G) on a 30-day rolling archive was accessed on DATE from https://registry.opendata.aws/met-office-global-ensemble .

Update frequency
The MOGREPS-G model runs four times per day at 00, 06, 12, 18 UTC. The available time steps are provided every hour from 0 to 54 hours or from 0 to 132 hours and every 3 hours between 57 to 198 hours or from 135 to 198 hours.
Support information

Managed by: Met Office 

Contact: 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.

General AWS Data Exchange support

Resources on AWS

Description

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

Resource type
S3 Bucket
Amazon Resource Name (ARN)
arn:aws:s3:::met-office-global-ensemble-model-data
AWS Region
eu-west-2

AWS CLI Access (No AWS account required)

aws s3 ls --no-sign-request s3://met-office-global-ensemble-model-data/
Description

Notifications for new global ensemble model data

Resource type
SNS Topic
Amazon Resource Name (ARN)
arn:aws:sns:eu-west-2:633885181284:met-office-global-ensemble-model-data-object_created
AWS Region
eu-west-2