Retired – UK Met Office Atmospheric Deterministic and Probabilistic Forecasts

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/uk-met-office-dataset")

fs.listdir("s3://aws-earth-mo-atmospheric-ukv-prd")

Description:

As of the 13th July, no further Met Office forecasts or data will be available via this service.

Meteorological data reusers now have an exciting opportunity to sample, experiment and evaluate Met Office atmospheric model data, whilst also experiencing a transformative method of requesting data via Restful APIs on AWS.

For information about the data see the Met Office website. For examples of using the data check out the examples repository. If you need help and support using the data please raise an issue on the examples repository.

Please note: Met Office continuously improves and updates its operational forecast models. Our last update became effective 04/12/2019. Please find the details here.

Contact:

As of the 13th July, no further Met Office forecasts or data will be available via this service.

Meteorological data reusers now have an exciting opportunity to sample, experiment and evaluate Met Office atmospheric model data, whilst also experiencing a transformative method of requesting data via Restful APIs on AWS.

For information about the data see the Met Office website. For examples of using the data check out the examples repository. If you need help and support using the data please raise an issue on the examples repository.

Please note: Met Office continuously improves and updates its operational forecast models. Our last update became effective 04/12/2019. Please find the details here.

Update Frequency:

Daily (with 24 hour delay)

Managed By:

https://www.metoffice.gov.uk/

Collabs:

• ASDI:
  • Tags: weather

Resources:

1. resource:

   • Description: Met Office UK Atmospheric Hi-Res Model (UKV) - 2km Deterministic
   • ARN: arn:aws:s3:::aws-earth-mo-atmospheric-ukv-prd
   • Region: eu-west-2
   • Type: S3 Bucket

2. resource:

   • Description: Met Office Global Atmospheric Hi-Res Model - 10km Deterministic
   • ARN: arn:aws:s3:::aws-earth-mo-atmospheric-global-prd
   • Region: eu-west-2
   • Type: S3 Bucket

3. resource:

   • Description: Met Office Global and Regional Ensemble Prediction System (UK) MOGREPS-UK
   • ARN: arn:aws:s3:::aws-earth-mo-atmospheric-mogreps-uk-prd
   • Region: eu-west-2
   • Type: S3 Bucket

4. resource:

   • Description: Met Office Global and Regional Ensemble Prediction System (Global) - MOGREPS-G
   • ARN: arn:aws:s3:::aws-earth-mo-atmospheric-mogreps-g-prd
   • Region: eu-west-2
   • Type: S3 Bucket

5. resource:

   • Description: Met Office UK Atmospheric Hi-Res Model (UKV) - 2km Deterministic
   • ARN: arn:aws:sns:eu-west-2:021908831235:aws-earth-mo-atmospheric-ukv-prd
   • Region: eu-west-2
   • Type: SNS Topic

6. resource:

   • Description: Met Office Global Atmospheric Hi-Res Model - 10km Deterministic
   • ARN: arn:aws:sns:eu-west-2:021908831235:aws-earth-mo-atmospheric-global-prd
   • Region: eu-west-2
   • Type: SNS Topic

7. resource:

   • Description: Met Office Global and Regional Ensemble Prediction System (UK) MOGREPS-UK
   • ARN: arn:aws:sns:eu-west-2:021908831235:aws-earth-mo-atmospheric-mogreps-uk-prd
   • Region: eu-west-2
   • Type: SNS Topic

8. resource:

   • Description: Met Office Global and Regional Ensemble Prediction System (Global) - MOGREPS-G
   • ARN: arn:aws:sns:eu-west-2:021908831235:aws-earth-mo-atmospheric-mogreps-g-prd
   • Region: eu-west-2
   • Type: SNS Topic

Tags:

aws-pds, agriculture, earth observation, climate, weather, meteorological, sustainability

Tutorials:

1. tutorial:

   • Title: Met Office AWS Earth data - Getting Started
   • URL: https://github.com/MetOffice/aws-earth-examples/blob/master/examples/1.%20Getting%20Started.ipynb
   • AuthorName: Jacob Tomlinson

2. tutorial:

   • Title: Met Office AWS Earth data - Subscribing to data
   • URL: https://github.com/MetOffice/aws-earth-examples/blob/master/examples/2.%20Subscribing%20to%20data.ipynb
   • AuthorName: Jacob Tomlinson