Published November 14, 2024 | Version v1

ECMWF/HRES - 2022 to 2023 - Great Britain

Contributors

Supervisor:

  • 1. ROR icon University of Glasgow

Description

Dataset of single-value Numerical Weather Predictions used as input for the probabilistic wind power forecasting tool developed for the paper: Seamless short- to mid-term probabilistic wind power forecasting.

Abstract (English)

The Dataset ECMWF-HRES is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) and is subject to ECMWF terms of use. It contains numerical weather operational forecasts related to the single-value model HRES provided by the European Centre for Medium-Range Weather Forecasts (ECMWF). The data was downloaded from the ECMWF Meteorological Archival and Retrieval System (MARS) using the ECMWF Web API.
 
The dataset contains operational forecasts for the base times of 00 UCT and 12 UTC from 2022 to 2023. The files contain forecasts that run on the same day (i.e., the same base time day) and are organized in folders according to the base time year. The files are in  GRIB format and are named according to the hres-UKNS_<base time date in yyyymmdd>.grib pattern.
 
The files comprise the latitudes from 50º to 59º and the longitudes from -7º to 3º. They contain the following single-level variables: 10 metre U wind component, 10 metre V wind component, 2 metre temperature, Surface solar radiation downwards, Low cloud cover, Medium cloud cover, High cloud cover, Total precipitation, 100 metre U wind component, 100 metre V wind component.

Files

Files (35.1 GB)

Name Size
md5:fb67b2d3f2ec38c5af05cb5e40bd1c70
35.1 GB Download

Additional details

Related works

Is continued by
Dataset: 10.5281/zenodo.13254469 (DOI)
Is required by
Software: 10.5281/zenodo.13309948 (DOI)