Articles | Volume 29, issue 6
https://doi.org/10.5194/hess-29-1659-2025
https://doi.org/10.5194/hess-29-1659-2025
Research article
 | 
26 Mar 2025
Research article |  | 26 Mar 2025

High-resolution land surface modelling over Africa: the role of uncertain soil properties in combination with forcing temporal resolution

Bamidele Oloruntoba, Stefan Kollet, Carsten Montzka, Harry Vereecken, and Harrie-Jan Hendricks Franssen

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Cited articles

Aloysius, N. R., Sheffield, J., Saiers, J. E., Li, H., and Wood, E. F.: Evaluation of historical and future simulations of precipitation and temperature in central Africa from CMIP5 climate models, J. Geophys. Res.-Atmos., 121, 130–152, https://doi.org/10.1002/2015JD023656, 2016. 
Beusekom, A. E. V., Hay, L. E., Bennett, A. R., Choi, Y.-D., Clark, M. P., Goodall, J. L., Li, Z., Maghami, I., Nijssen, B., and Wood, A. W.: Hydrologic Model Sensitivity to Temporal Aggregation of Meteorological Forcing Data: A Case Study for the Contiguous United States, J. Hydrometeorol., 23, 167–183, https://doi.org/10.1175/JHM-D-21-0111.1, 2022. 
Bonan, G. B., Lombardozzi, D. L., Wieder, W. R., Oleson, K. W., Lawrence, D. M., Hoffman, F. M., and Collier, N.: Model Structure and Climate Data Uncertainty in Historical Simulations of the Terrestrial Carbon Cycle (1850–2014), Glob. Biogeochem. Cy., 33, 1310–1326, https://doi.org/10.1029/2019GB006175, 2019. 
Bouilloud, L., Chancibault, K., Vincendon, B., Ducrocq, V., Habets, F., Saulnier, G.-M., Anquetin, S., Martin, E., and Noilhan, J.: Coupling the ISBA Land Surface Model and the TOPMODEL Hydrological Model for Mediterranean Flash-Flood Forecasting: Description, Calibration, and Validation, J. Hydrometeorol., 11, 315–333, https://doi.org/10.1175/2009JHM1163.1, 2010. 
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Short summary
We studied how soil and weather data affect land model simulations over Africa. By combining soil data processed in different ways with weather data of varying time intervals, we found that weather inputs had a greater impact on water processes than soil data type. However, the way soil data were processed became crucial when paired with high-frequency weather inputs, showing that detailed weather data can improve local and regional predictions of how water moves and interacts with the land.
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