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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 2019 to 2021. 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_.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.
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.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |