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Semelhante a SMOS and SMAP synergisms for soil moisture retrieval
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SMOS and SMAP synergisms for soil moisture retrieval
- 1. SMOS - SMAP synergisms for retrieval of soil moisture Y.H. Kerr, F Cabot, P. Richaume, A. AlBitar, E. Jacquette, A. Mialon, C Gruhier, S Juglea, D. Leroux, A. Mahmoodi, J.P. Wigneron IGARSS’10 Honolulu, HAWAII, July 26-30-2010
- 5. Typical SMOS browse product equivalent to SMAP data YHK July 2010
- 7. Data acquired over one point YHK July 2010
- 8. Case of Forest YHK July 2010
- 10. Thank You! Soil moisture retrievals June 20 -23 2010
- 11. YHK July 2010 Vegetation opacity map June 20-23 2010
- 12. YHK July 2010
- 15. SVATSimple z (Boulet and al. 2000) Saturation exces Runoff e vaporation infiltration Infiltration exces Runoff Potential Evaporation Rain p t ime Inte r-storm Storm Infiltration + Runoff Évaporation + percolation dE=edt 0 z f (t+dt) K 0 dt A= 0 d d Wg
- 17. Coupling and desegregation Scheme Wg mean, W mean t SVATSIMPLE LE, Rn,H,G percolation Infiltration Subsurface flow Saturation excess Runoff TOPMODEL { Wg i }, { W i } t + dt Soil proprieties + DTM Wg mean, W mean t + dt
- 18. OBSERVED Simulated (topo) Simulated (topo and soil depth) DoY 275: “ wet Conditions” DoY 291:dry Conditions Surface soil moisture fields Nerrigundah basin (Williams river, MDB, Australia)
- 22. Freezing Event SM drops Bare Soil
Notas do Editor
- Ici on s'interesse aux caracteristiques locales qui peuvent expliquer la variablilite spatiale des champs d'humidite. Si on ne prend en compte que la topographie et qu'on considere une profondeur de sol moyenne partout, on s'apercoit qu'on arrive a expliquer la zone humide de fond de vallon mais que l'on n'arrive pas a expliquer la zone plus humide a droite. En revanche si on prend en compte la profondeur de sol on explique assez bien la tendance generale.