The Living Planet Program : Soil Moisture and Ocean Salinity (SMOS)

have a look at the SMOS Blog:
the news of the CESBIO SMOS team



For any questions or
comments on this mission, please contact :
Yann Kerr at CESBIO

© Copyright 2009 CESBIO, 
Tous droits réservés

Towards SMOS next

In response to the needs expressed by the hydrological and earth sciences community :

Hydrological applications, from local to regional scales, require surface moisture observations at a sub-kilometer spatial resolution.

  • image An innovative idea is proposed by CESBIO: SMOS-next, with the following caracteristics : SMOS-next ,
  • Technology : reconstruction by spatio-temporal interferometry of 1D observations in L-band.
  • Spatial Resolution: 4 km : an improvement by a factor 10
  • Revisit period : 3 days

tomorrow SMOS Next  

illustration of a possible configuration of SMOS-next :
two satellites in formation


  • image the spatial and temporal resolution of disaggregated « SMOS-next " data will be consistent with the representation of hydrological processes in models :



  • image In order to repond to the need expressed above, a disaggregation strategy will be implemented. One solution would be the synergy with optical sensors by using physicaly-based disaggregation (Merlin 0. et al, 2008).
image Physically-based disaggregation methodology image
surface moisture at 4 km   surface moisture a 400 m

Basics : The methodology is based on soil evaporative fraction models, which utilize the same physical basis as SVAT models.

Ancillary data : use of optical (red, near-infrared and thermal infrared) data : Landsat, ASTER, Mistigri.

Products : The disaggregation of 4 km resolution SMOS-next surface soil moisture will provide data at hectometric resolution while keeping a satisfying accuracy.

  • imageHydrological modelling

    Hence the hydrological modelling will be addressed with adequat data in terms of temporal and spatial resolution. The hydrological modelling will relly largely on data assimilation technics to respond to the below objectives:


  1. Improving flood forecasting
  2. Water management in irrigated areas
  3. Climate impact on water resources
  4. Partitioning of surface and subsurface fluxes.
  5. ...
  • image This project is supported by CNES (R&T).
























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