Articles | Volume 21, issue 5
Hydrol. Earth Syst. Sci., 21, 2483–2495, 2017
https://doi.org/10.5194/hess-21-2483-2017
Hydrol. Earth Syst. Sci., 21, 2483–2495, 2017
https://doi.org/10.5194/hess-21-2483-2017
Research article
11 May 2017
Research article | 11 May 2017

Advancing land surface model development with satellite-based Earth observations

Rene Orth et al.

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Cited articles

Balmaseda, M. A., Mogensen, K., and Weaver, A. T.: Evaluation of the ECMWF ocean reanalysis system ORAS4, Q. J. Roy. Meteor. Soc., 139, 1132–1161, 2013.
Balsamo, G., Boussetta, S., Dutra, E., Beljaars, A., Viterbo, P., and den Hurk, B. V.: Evolution of land surface processes in the IFS, ECMWF Newsletter, 127, 17–22, 2011.
Balsamo, G., Albergel, C., Beljaars, A., Boussetta, S., Brun, E., Cloke, H., Dee, D., Dutra, E., Muñoz-Sabater, J., Pappenberger, F., de Rosnay, P., Stockdale, T., and Vitart, F.: ERA-Interim/Land: a global land surface reanalysis data set, Hydrol. Earth Syst. Sci., 19, 389–407, https://doi.org/10.5194/hess-19-389-2015, 2015.
Beven*, K.: How far can we go in distributed hydrological modelling?, Hydrol. Earth Syst. Sci., 5, 1–12, https://doi.org/10.5194/hess-5-1-2001, 2001.
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Short summary
State-of-the-art land surface models (LSMs) rely on poorly constrained parameters. To enhance LSM configuration, new satellite-based Earth observations are essential. This is because multiple observational datasets allow us to assess and validate the representation of coupled processes in LSMs. The resulting improved LSM configuration is beneficial for coupled weather forecasts, and hence valuable to society.