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Part 1: Document Description
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Citation |
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Title: |
Convection-permitting ICON-LAM Simulations for Renewable Energy Potential Estimates over Southern Africa |
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Identification Number: |
doi:10.26165/JUELICH-DATA/JYGQ65 |
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Distributor: |
Jülich DATA |
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Date of Distribution: |
2024-03-20 |
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Version: |
1 |
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Bibliographic Citation: |
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 |
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Citation |
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Title: |
Convection-permitting ICON-LAM Simulations for Renewable Energy Potential Estimates over Southern Africa |
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Identification Number: |
doi:10.26165/JUELICH-DATA/JYGQ65 |
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Authoring Entity: |
Chen, Shuying (Forschungszentrum Jülich GmbH) |
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Poll, Stefan (Forschungszentrum Jülich GmbH) |
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Hendricks Franssen, Harrie-Jan (Forschungszentrum Jülich GmbH) |
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Heinrichs, Heidi (Forschungszentrum Jülich GmbH) |
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Vereecken, Harry (Forschungszentrum Jülich GmbH) |
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Goergen, Klaus (Forschungszentrum Jülich GmbH) |
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Distributor: |
Jülich DATA |
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Access Authority: |
Chen, Shuying |
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Depositor: |
Chen, Shuying |
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Date of Deposit: |
2024-03-06 |
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Study Scope |
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Keywords: |
Earth and Environmental Sciences, regional atmospheric modeling, ICON, convection-permitting, renewable energy, Africa |
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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. |
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Notes: |
The dataset can be downloaded via the storage location URL, https://datapub.fz-juelich.de/slts/iconlam_southern_africa/index.html |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
CC0 Waiver |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Bibliographic Citation: |
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 |