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A « European » Perspective

A « European » Perspective. Short term: SMOS L2 processor validation Long term: DA in an hydrological models. SMOS Data type. multi-angular; dual polarization L band SM 4 % vol; 3 day revisit Spatial resolution better than 50 km Launched 09 2007

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A « European » Perspective

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  1. A « European » Perspective Short term: SMOS L2 processor validation Long term: DA in an hydrological models

  2. SMOS Data type • multi-angular; dual polarization L band • SM 4 % vol; 3 day revisit • Spatial resolution better than 50 km • Launched 09 2007 • Level 1: brightness temperature at H and V polarisation • Level 2: daily soil moisture and ocean salinity (swath) maps at basic temporal and spatial resolutions

  3. 2 / 1 parameter retrieval

  4. SMOS L2 Algorithm

  5. SM L2 retrieval: simplifications • 200 LCC (ECOCLIMAP) aggregated into 10 • Auxillary data not always available • No direct model for every LCC • Lack of info on very dry soils / sandy soils • Only a limited number of emission sources > Algorithm Theoretical Basis Document (ATBD) 1st issue 12/2005 last issue 12/2006

  6. How NAFE can contribute ? • Scaling: do simple strategies/algorithms (such as the L2 SM processor) perform well ? • A lot of the RT parameters have been calibrated on local experiments • SMOSREX = « typical » grassland • « La Londe » = « typical » forest etc • -> need to be checked at larger scales / other locations • Interested in typical scales o(>1km) with sub-pixel variability of o(<1km)

  7. CESBIO/INRA: short term • AMSR: radiometric extrapolation C -> L (Philippe Richaume and Patricia De Rosnay) • Intercomparison of 2 soil emissivity models for soil moisture retrieval algorithms (Patricia De Rosnay) • the tau-omega model and a coherent model; • focus on AMSR data; • compare the SM inversion performance with what one gets in sahelian environments (African Monsoon project) • Forward RT modelling for forested envt, Litter effects and litter/surface soil moisture relationship (Jennifer Grant) • L2 algorithm evaluation over several NAFE LCC (?)

  8. CESBIO/INRA: long term • “Development and evaluation of disagregation and assimilation methods of SMOS radiobrightness into hydrological models” • Multispectral RS Data Assimilation • TIR (disagregation and/or data assimilation) • L-band (SMOS resolution) • NDVI (forcing/disagregation) • DA of RS data directly, or disaggregated SM ? • Evaluation on variables (e.g. root zone SM) and fluxes (e.g. streamflow)

  9. Disagregation study • What’s written in the 2005 proposals: • “1 km airborne brightness temperature maps will be aggregated to produce a coarse-resolution brightness temperature corresponding to the size of one SMOS pixel. • A geostatistical procedure based on LC, Soil Type and Topography will be used together with the SMOS generated brightness temperature to produce field scale surface soil moisture maps • Surface soil moisture maps produced will be compared to soil moisture fields obtained by inversion of the L-band brightness temperature maps acquired by the aircraft as well as ground-based soil moisture measurements.” (Philippe Maisongrande ?)

  10. Data Assimilation: NAFE’05 data • A coupled SVAT-Lateral redistribution model (ISBA3L/TOPMODEL/Isochrones) will be calibrated against streamflow and in-situ soil moisture data obtained for the network of continuous monitoring sites (Hélène Roux is building up on previous work by Jennifer Pellenq + ?) • The performance of the data assimilation methods will be assessed by comparing predictions and measurements of streamflow and soil moisture content during NAFE’05 • HR TIR info alone (Hélène ?) • disagregated L-band / SM info alone (Olivier ?) • combined HR TIR/ LR L-band info (Gilles ?)

  11. Proposals/Fundings • Chances to get a coSMOS3 campaign during NAFE’06 are small • ESA cal/val project: provides ESA data but no $ ! • Jetse is PI / Jeff and Gilles co-I • Data will be accessible for validation after launch • CNES TOSCA 2005 application: • funding for at least 2 pers. for ~3 weeks for NAFE’06 • Focus on SMOS calib. for TOSCA 2006 application • SMOS data flow should start by the end of 2007 • Commissioning phase ends up ~6 months after launch

  12. NAFE’06 ? • if Murrumbidgee wins: it sounds like we’ll replace « streamflow » by « evaporation » in the proposal, but objectives won’t change much (or I’m totally wrong ???) > still very relevant for SMOS • if Goulburn wins: cool, we’ll build on previous studies ! (good for long-term DA)

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