This title appears in the Scientific Report :
2021
Please use the identifier:
http://hdl.handle.net/2128/30064 in citations.
High Resolution Land Surface Modelling over Africa: the role of spatial and temporal resolution.
High Resolution Land Surface Modelling over Africa: the role of spatial and temporal resolution.
Different land surface modelling studies over Africa have been performed in the recent past at both the continental and subcontinental scales. The spatial resolution of these simulations is often very coarse leading to lack of locally specific information. We hypothesize that using CLM5, a land surf...
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Personal Name(s): | Oloruntoba, Bamidele (Corresponding author) |
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Kollet, Stefan / Montzka, Carsten / Vereecken, Harry / Hendricks-Franssen, Harrie-Jan | |
Contributing Institute: |
Agrosphäre; IBG-3 |
Imprint: |
2021
|
Conference: | American Geophysical Union, New Orleans (USA), 2021-12-13 - 2021-12-17 |
Document Type: |
Conference Presentation |
Research Program: |
Helmholtz School for Data Science in Life, Earth and Energy (HDS LEE) Agro-biogeosystems: controls, feedbacks and impact |
Subject (ZB): |
Geosciences
> 0
|
Link: |
OpenAccess |
Publikationsportal JuSER |
Different land surface modelling studies over Africa have been performed in the recent past at both the continental and subcontinental scales. The spatial resolution of these simulations is often very coarse leading to lack of locally specific information. We hypothesize that using CLM5, a land surface model with multi-level sub-grid hierarchy alongside high resolution soil texture information at 3km resolution over the CORDEX Africa domain, can provide land surface model results that provide locally specific information. We assessed the impact of different meteorological forcings and soil information over the African domain for the period between January 2013 and December 2014. The reanalysis products CRUNCEPv7, GSWPv3, and WFDE5 were used to force CLM5 simulations, and these have different temporal resolutions of 6 hours, 3 hours and 1 hour, respectively. Two different inputs for soil texture were used, namely from the FAO and SoilGrids250m. In addition, four different upscaling methods to upscale the SoilGrids information, available at 250m resolution to the model grid resolution of 3km, were evaluated. We found that 1) variation in the meteorological forcing product has a higher impact on the variability of evapotranspiration than variation in the soil texture input; 2) the soil texture information source (FAO or SoilGrids) impacted results stronger than the soil texture upscaling method; and 3) higher temporal resolution WFDE5 forcings result in higher surface runoff and also differences in simulated ET compared to lower temporal resolution atmospheric forcings, and in this case also differences appear between different soil information upscaling methods. |