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50 changes: 50 additions & 0 deletions datasets/met-office-global-gridded-probabilistic.yaml
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Name: Met Office Global Gridded Blended Probabilistic Forecast on a 2-year rolling archive
Description: We have developed a new blended probabilistic forecast system that takes outputs from our Numerical Weather Prediction (NWP) models.
This system blends multiple gridded forecasts using a probabilistic approach to produce a set of percentile forecasts for a range of surface weather variables.
Documentation: https://www.metoffice.gov.uk/services/data/external-data-channels
Contact: [email protected]. 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.
ManagedBy: "[Met Office](https://www.metoffice.gov.uk/)"
UpdateFrequency: This is a dynamic dataset continuously updated by blending multiple data sources. Please refer to the specific documentation for the details.
Collabs:
ASDI:
Tags:
- weather
Tags:
- aws-pds
- air temperature
- atmosphere
- forecast
- geoscience
- geospatial
- model
- near-surface air temperature
- near-surface relative humidity
- netcdf
- weather
License: "British Crown copyright 2023-2025, the Met Office, is licensed under [CC BY-SA](https://creativecommons.org/licenses/by-sa/4.0/deed.en)"
Resources:
- Description: Met Office Global Gridded Blended Probabilistic Forecast on a 2-year rolling archive
ARN: arn:aws:s3:::met-office-global-gridded-blended-probabilistic-data
Region: eu-west-2
Type: S3 Bucket
Explore:
- '[Browse bucket](https://met-office-global-gridded-blended-probabilistic-data.s3.eu-west-2.amazonaws.com/index.html)'
- Description: Notifications for new Global Gridded Blended Probabilistic Forecast Data
ARN: arn:aws:sns:eu-west-2:633885181284:met-office-global-gridded-blended-probabilistic-data-object_created
Region: eu-west-2
Type: SNS Topic
DataAtWork:
Tutorials:
- Title: Numerical weather prediction models
URL: https://www.metoffice.gov.uk/research/approach/modelling-systems/unified-model/weather-forecasting
AuthorName: Met Office
AuthorURL: https://www.metoffice.gov.uk/
- Title: The Met Office Unified Model
URL: https://www.metoffice.gov.uk/research/approach/modelling-systems/unified-model
AuthorName: Met Office
AuthorURL: https://www.metoffice.gov.uk/
Tools & Applications:
- Title: IMPROVER Metadata
URL: https://improver.readthedocs.io/en/latest/metadata/Introduction.html#looking-at-an-example
AuthorName: Met Office
AuthorURL: https://www.metoffice.gov.uk/