{"@context":"http://schema.org","@type":"Dataset","@id":"https://doi.org/10.26165/JUELICH-DATA/JYGQ65","identifier":"https://doi.org/10.26165/JUELICH-DATA/JYGQ65","name":"Convection-permitting ICON-LAM Simulations for Renewable Energy Potential Estimates over Southern Africa","creator":[{"name":"Chen, Shuying","affiliation":"Forschungszentrum Jülich GmbH"},{"name":"Poll, Stefan","affiliation":"Forschungszentrum Jülich GmbH"},{"name":"Hendricks Franssen, Harrie-Jan","affiliation":"Forschungszentrum Jülich GmbH"},{"name":"Heinrichs, Heidi","affiliation":"Forschungszentrum Jülich GmbH"},{"name":"Vereecken, Harry","affiliation":"Forschungszentrum Jülich GmbH"},{"name":"Goergen, Klaus","affiliation":"Forschungszentrum Jülich GmbH"}],"author":[{"name":"Chen, Shuying","affiliation":"Forschungszentrum Jülich GmbH"},{"name":"Poll, Stefan","affiliation":"Forschungszentrum Jülich GmbH"},{"name":"Hendricks Franssen, Harrie-Jan","affiliation":"Forschungszentrum Jülich GmbH"},{"name":"Heinrichs, Heidi","affiliation":"Forschungszentrum Jülich GmbH"},{"name":"Vereecken, Harry","affiliation":"Forschungszentrum Jülich GmbH"},{"name":"Goergen, Klaus","affiliation":"Forschungszentrum Jülich GmbH"}],"datePublished":"2024-03-20","dateModified":"2024-03-20","version":"1","description":["This regional atmospheric modelling dataset was produced by a dynamical downscaling setup, the ICOsahedral Nonhydrostatic (ICON) Numerical Weather Prediction (ICON-NWP) model v2.6.4 was run in limited area mode (ICON-LAM) with a weather forecast configuration (ICON-D2) from the German Weather Service (DWD), driven by the initialized analysis based on the 13km global deterministic ICON-NWP forecasts from DWD. The simulations cover three years, from 2017 to 2019, at a convection-permitting spatial resolution of 3.3km over a southern African model domain. To ensure a good agreement of the ICON-LAM simulations with the observed weather over the large model domain, the atmosphere was reinitialized every 6 days with one preceding spin-up day, and the land surface as well as subsurface were run transiently."],"keywords":["Earth and Environmental Sciences","regional atmospheric modeling","ICON","convection-permitting","renewable energy","Africa"],"citation":[{"@type":"CreativeWork","text":"Chen, S., Poll, S., Hendricks Franssen, H.-J., Heinrichs, H., Vereecken, H., & Goergen, K. (2024). Convection-permitting ICON-LAM simulations for renewable energy potential estimates over southern Africa. Journal of Geophysical Research: Atmospheres [accepted for the JGR-A on March 4, 2024]. https://doi.org/10.1029/2023JD039569"}],"license":{"@type":"Dataset","text":"CC0","url":"https://creativecommons.org/publicdomain/zero/1.0/"},"includedInDataCatalog":{"@type":"DataCatalog","name":"Jülich DATA","url":"https://data.fz-juelich.de"},"publisher":{"@type":"Organization","name":"Jülich DATA"},"provider":{"@type":"Organization","name":"Jülich DATA"}}