The impacts of assimilating satellite soil moisture into a rainfall–runoff model in a semi-arid catchment

Author:

Alvarez-Garreton C.,Ryu D.,Western A.W.,Crow W.T.,Robertson D.E.

Funder

Australian Research Council

Bureau of Meteorology, Australian Government

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference55 articles.

1. From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in situ observations and model simulations;Albergel;Hydrol. Earth Syst. Sci. Discuss.,2008

2. Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations;Albergel;Remote Sens. Environ.,2012

3. Alvarez-Garreton, C., Ryu, D., Western, A.W., Crow, W.T., Robertson, D.E., 2013a. Impact of observation error structure on satellite soil moisture assimilation into a rainfall–runoff model. In: MODSIM, 20th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, pp. 3071–3077.

4. Alvarez-Garreton, C., Ryu, D., Western, A.W., Robertson, D.E., Crow, W.T., Leahy, C., 2013b. Effects of forcing uncertainties in the improvement skills of assimilating satellite soil moisture retrievals into flood forecasting models. In: Piantadosi, J., Anderssen, R., Boland, J. (Eds.), IGARSS, International Geoscience and Remote Sensing Symposium, p. WE2.T03.4.

5. SMOS: the mission and the system;Barre;IEEE Trans. Geosci. Remote Sens.,2008

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