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Impact of alternative soil data sources on the uncertainties in simulated land-atmosphere interactions

Zhang, Zhenyu 1; Laux, Patrick ORCID iD icon 2; Baade, Jussi; Arnault, Joël 1; Wei, Jianhui ORCID iD icon 2; Wang, Xuejin 1; Liu, Yukun; Schmullius, Christiane; Kunstmann, Harald 2
1 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)
2 Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)

Abstract:

Numerical weather- and climate prediction models rely on soil data to accurately model land surface processes. However, as soil data are produced using soil profiles and maps with multiple sources of uncertainty, wide discrepancies prevail in global soil datasets. Comparison of four commonly used soil datasets in Earth system climate models, i.e., Food and Agriculture Organization soil data, Harmonized World Soil Database, Global Soil Dataset for Earth System Model, and global gridded soil information system SoilGrids, yields widespread differences in southern Africa. This study investigates the simulated land-atmosphere interactions in southern Africa in the context of the uncertainties from applying different global soil datasets. We conducted ensemble simulations using the fully coupled Weather Research and Forecasting Hydrological Modeling system (WRF-Hydro) incorporated with each of the global soil datasets mentioned above. Model simulations were performed at 4-km convection-permitting scale from January 2015 to June 2016. By quantifying model's internal variability and comparing the modeling results, results show that the simulated temperature, soil moisture, and surface energy fluxes are largely impacted by soil texture differences. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000160540
Veröffentlicht am 29.09.2023
Originalveröffentlichung
DOI: 10.1016/j.agrformet.2023.109565
Scopus
Zitationen: 5
Web of Science
Zitationen: 3
Dimensions
Zitationen: 7
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
Institut für Meteorologie und Klimaforschung (IMK)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 08.2023
Sprache Englisch
Identifikator ISSN: 0168-1923, 1873-2240
KITopen-ID: 1000160540
HGF-Programm 12.11.33 (POF IV, LK 01) Regional Climate and Hydrological Cycle
Erschienen in Agricultural and Forest Meteorology
Verlag Elsevier
Band 339
Seiten Art.Nr.: 109565
Schlagwörter Soil texture, soil moisture, internal variability, WRF-Hydro, fully coupled land surface-hydrological-atmospheric modeling, Convection permitting modeling
Nachgewiesen in Web of Science
Scopus
Dimensions
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