Articles | Volume 25, issue 3
Research article
24 Mar 2021
Research article |  | 24 Mar 2021

A multi-sourced assessment of the spatiotemporal dynamics of soil moisture in the MARINE flash flood model

Judith Eeckman, Hélène Roux, Audrey Douinot, Bertrand Bonan, and Clément Albergel

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Cited articles

Adamovic, M., Branger, F., Braud, I., and Kralisch, S.: Development of a data-driven semi-distributed hydrological model for regional scale catchments prone to Mediterranean flash floods, J. Hydrol., 541, 173–189, 2016. a
Albergel, C., Rüdiger, C., Carrer, D., Calvet, J.-C., Fritz, N., Naeimi, V., Bartalis, Z., and Hasenauer, S.: An evaluation of ASCAT surface soil moisture products with in-situ observations in Southwestern France, Hydrol. Earth Syst. Sci., 13, 115–124,, 2009. a
Albergel, C., Munier, S., Leroux, D. J., Dewaele, H., Fairbairn, D., Barbu, A. L., Gelati, E., Dorigo, W., Faroux, S., Meurey, C., Le Moigne, P., Decharme, B., Mahfouf, J.-F., and Calvet, J.-C.: Sequential assimilation of satellite-derived vegetation and soil moisture products using SURFEX_v8.0: LDAS-Monde assessment over the Euro-Mediterranean area, Geosci. Model Dev., 10, 3889–3912,, 2017. a, b, c
Albergel, C., Munier, S., Bocher, A., Bonan, B., Zheng, Y., Draper, C., Leroux, D., and Calvet, J.-C.: LDAS-Monde Sequential Assimilation of Satellite Derived Observations Applied to the Contiguous US: An ERA-5 Driven Reanalysis of the Land Surface Variables, Remote Sens., 10, 1627,, 2018. a
Aune-Lundberg, L. and Strand, G.-H.: CORINE Land Cover 2006. The Norwegian CLC2006 project, Norsk institutt for skog og landskap, As, Norway, 2010. a, b
Short summary
The risk of flash flood is of growing importance for populations, particularly in the Mediterranean area in the context of a changing climate. The representation of soil processes in models is a key factor for flash flood simulation. The importance of the various methods for soil moisture estimation are highlighted in this work. Local measurements from the field as well as data derived from satellite imagery can be used to assess the performance of model outputs.