Assimilation of Soil Moisture and Ocean Salinity (SMOS) brightness temperature into a large-scale distributed conceptual hydrological model to improve soil moisture predictions: The Murray–Darling basin in Australia as a test case
Hostache, R., Department Environmental Research and Innovation, Luxembourg Institute of Science and Technology (LIST), Belvaux, Luxembourg; Rains, D., Department of Environment, Ghent University, Ghent, Belgium, Department of Physics and Astronomy, Earth Observation Science, University of Leicester, Leicester, United Kingdom; Mallick, K., Department Environmental Research and Innovation, Luxembourg Institute of Science and Technology (LIST), Belvaux, Luxembourg; Chini, M., Department Environmental Research and Innovation, Luxembourg Institute of Science and Technology (LIST), Belvaux, Luxembourg; Pelich, R., Department Environmental Research and Innovation, Luxembourg Institute of Science and Technology (LIST), Belvaux, Luxembourg; Lievens, H., Department of Environment, Ghent University, Ghent, Belgium, Department of Earth and Environmental Sciences, Katholieke Universiteit Leuven, Heverlee, Belgium; Fenicia, F., Department of Systems Analysis, Integrated Assessment and Modelling, Swiss Federal Institute of Aquatic Science and Technology (EAWAG), Dübendorf, Switzerland; Corato, G., Department Environmental Research and Innovation, Luxembourg Institute of Science and Technology (LIST), Belvaux, Luxembourg; Verhoest, N.E.C., Department of Environment, Ghent University, Ghent, Belgium; Matgen, P., Department Environmental Research and Innovation, Luxembourg Institute of Science and Technology (LIST), Belvaux, Luxembourg
Recommended Citation:
Hostache R.,Rains D.,Mallick K.,et al. Assimilation of Soil Moisture and Ocean Salinity (SMOS) brightness temperature into a large-scale distributed conceptual hydrological model to improve soil moisture predictions: The Murray–Darling basin in Australia as a test case[J]. Hydrology and Earth System Sciences,2020-01-01,24(10)