Close window
Close window
This section of the new site isn't ready yet. We've brought you back to the current site.

Build planetary-scale applications in the cloud with Met Office (UK) open Numerical Weather Prediction (NWP) model data

Model data

Meteorological data reusers now have an exciting opportunity to sample, experiment and evaluate Met Office atmospheric model data.

At the same time you can experience a transformative method of requesting data via Restful APIs from AWS.

All this is available ahead of the Met Office’s own operationally supported API platform that will be launched in late 2019.

 

What NWP model data is available?

The following models are available on AWS for research and evaluation purposes.

 

Met Office UK Atmospheric Hi-Res Model (UKV) - 2km Deterministic

Parameters

Met Office Global Atmospheric Hi-Res Model - 10km Deterministic

Parameters

Met Office Global and Regional Ensemble Prediction System (UK) MOGREPS-UK

Parameters

Met Office Global and Regional Ensemble Prediction System (Global) - MOGREPS-G

Parameters

NB Data has a 24 hour latency & limited selectability

 

What is the latency and retention period for the data?

Data has a 24 hour latency, with 7 days retention.

 

What data selection is available?

Data selection is limited.

Met Office deterministic Global & UKV atmospheric models:

One file = one parameter, one timestep, all vertical levels (of one type e.g. all pressure levels OR all height levels)

Met Office probabilistic models:

MOGREPS-G - as above plus 18 members per file

MOGREPS-UK - as above plus 12 members per file.

*Please note that the Met Office strongly recommends the combination of the latest two runs to provide a time-lagged ensemble.

 

What does the license include?

The data is available under Creative Commons license (Attribution-Non Commercial-No Derivatives 4.0 International).

This allows users to 

1. reproduce and share the licensed material, in whole or in part, for non commercial purposes only; and

2. produce and reproduce, but not share, adapted material for non commercial purposes only.

 

What support is available?

The data is not available with any support. A GitHub repository is available as a collaborative area, where you can see example code, raise issues and interact with other users and ask/answer technical and science questions.

 

What is MOGREPS?

MOGREPS-UK is a high resolution weather forecast covering the United Kingdom, whilst MOGREPS-G is a global weather forecast.

MOGREPS is primarily designed to aid the forecasting of rapid storm development, wind, rain, snow and fog. 

To make best use of our ensemble data, please consult our guide.

 

 

Overview of the model data sets

 

Met Office UK Atmospheric Hi-Res Model (UKV) – 2km deterministic

Domain
Latitude: 62.191°N to 44.096°N
Longitude: 25.413°W to 16.219°E

Resolution
Approx. 0.018 degrees (2km)

Model runs
00UTC, 01UTC, 02UTC, 03UTC, 04UTC, 05UTC, 06UTC, 07UTC, 08UTC, 09UTC, 10UTC, 11UTC, 12UTC, 13UTC, 14UTC, 15UTC, 16UTC, 17UTC, 18UTC, 19UTC, 20UTC, 21UTC, 22UTC, & 23UTC

Delivery
Via API

Format
NetCDF

Projection
Lambert Azimuthal Equal Area

 

Global Atmospheric Hi-Res Model - 10km deterministic

Domain
Global

Resolution
Approx. 0.09 degrees (10km)

Model runs
00UTC, 06UTC, 12UTC & 18UTC

Delivery
Via API

Format
NetCDF

Projection
Equirectangular Latitude-Longitude

 

Met Office Global and Regional Ensemble Prediction System (UK) MOGREPS-UK

Domain
Latitude: 62.191°N to 44.096°N
Longitude: 25.413°W to 16.219°E

Resolution
Approx. 0.018 degrees (2km)

Model runs
03UTC, 09UTC, 15UTC & 21UTC

Delivery
Via API

Format
NetCDF

Projection
Lambert Azimuthal Equal Area

 

Met Office Global and Regional Ensemble Prediction System (Global) - MOGREPS-G

Domain
Global

Resolution
Approx. 0.18 degrees (20km)

Model Runs
00UTC, 06UTC, 12UTC & 18UTC

Delivery
Via API

Format
NetCDF

Projection
Equirectangular Latitude-Longitude

 

Your use of this data is entirely at your own risk and the Met Office does not make any warranty, representation or guarantee as to the availability of the data or that the data is error free and/or fit for your intended use.

 

 

 

Last updated:

Follow us on

Facebook, Twitter, YouTube, Instagram, Snapchat, or LinkedIn Facebook Follow @metoffice on Twitter YouTube Instagram Snapchat LinkedIn