<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Convection-permitting ICON-LAM Simulations for Renewable Energy Potential Estimates over Southern Africa</titl><IDNo agency="DOI">doi:10.26165/JUELICH-DATA/JYGQ65</IDNo></titlStmt><distStmt><distrbtr source="archive">Jülich DATA</distrbtr><distDate>2024-03-20</distDate></distStmt><verStmt source="DVN"><version date="2024-03-20" type="RELEASED">1</version></verStmt><biblCit>Chen, Shuying; Poll, Stefan; Hendricks Franssen, Harrie-Jan; Heinrichs, Heidi; Vereecken, Harry; Goergen, Klaus, 2024, "Convection-permitting ICON-LAM Simulations for Renewable Energy Potential Estimates over Southern Africa", https://doi.org/10.26165/JUELICH-DATA/JYGQ65, Jülich DATA, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Convection-permitting ICON-LAM Simulations for Renewable Energy Potential Estimates over Southern Africa</titl><IDNo agency="DOI">doi:10.26165/JUELICH-DATA/JYGQ65</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Forschungszentrum Jülich GmbH">Chen, Shuying</AuthEnty><AuthEnty affiliation="Forschungszentrum Jülich GmbH">Poll, Stefan</AuthEnty><AuthEnty affiliation="Forschungszentrum Jülich GmbH">Hendricks Franssen, Harrie-Jan</AuthEnty><AuthEnty affiliation="Forschungszentrum Jülich GmbH">Heinrichs, Heidi</AuthEnty><AuthEnty affiliation="Forschungszentrum Jülich GmbH">Vereecken, Harry</AuthEnty><AuthEnty affiliation="Forschungszentrum Jülich GmbH">Goergen, Klaus</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Jülich DATA</distrbtr><contact affiliation="Forschungszentrum Jülich GmbH" email="s.chen@fz-juelich.de">Chen, Shuying</contact><depositr>Chen, Shuying</depositr><depDate>2024-03-06</depDate></distStmt></citation><stdyInfo><subject><keyword>Earth and Environmental Sciences</keyword><keyword>regional atmospheric modeling</keyword><keyword>ICON</keyword><keyword>convection-permitting</keyword><keyword>renewable energy</keyword><keyword>Africa</keyword></subject><abstract>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.</abstract><sumDscr/><notes>The dataset can be downloaded via the storage location URL, https://datapub.fz-juelich.de/slts/iconlam_southern_africa/index.html</notes></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><notes type="DVN:TOU" level="dv">CC0 Waiver</notes><setAvail/><useStmt/></dataAccs><othrStdyMat><relPubl><citation><biblCit>Chen, S., Poll, S., Hendricks Franssen, H.-J., Heinrichs, H., Vereecken, H., &amp; 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</biblCit></citation></relPubl></othrStdyMat></stdyDscr></codeBook>