SMOS Level 2 Soil Moisture and Tau products evaluated over a variety of biomes at global scale

J-P. Wigneron(1), N. Novello(1), Y. Kerr(2), P. Richaume(2), E. Lopez-Baeza(8), C. Moisy(1), J-M. Bonnefond(1), A. Al Bitar(2), A. Mialon(2), F. Cabot(2), P. Cellier(16), S. Delwart(3), F. Demontoux(4), M. J. Escorihuela(5), P. Ferrazzoli(6), A. Govind(1), J. P. Grant(7), D. Guyon(2), E. Jacquette(2), H. Lawrence(1), A. Mahmoodi(9), N. Masher(16), C. Mattar(8), S. Mecklenburg(3), S. Monerris(10), Y. Nouvellon(17), R. Rahmoune(6), P. de Rosnay(11), C. Rüdiger(12), K. Saleh(13), M. Schwank(14), J. Sobrino(7), P. Waldteufel(15)

(1) INRA, EPHYSE, Bordeaux France(2) CESBIO, Toulouse, France(3) ESA, ESRIN, Frascati, Italy(4) IMS, Bordeaux, France(5) isardSAT, Barcelona, Spain (6) University of Tor Vergata, Roma,(7) ESTEC, Noordwijk , The Netherlands(8) University of Valencia, Spain (9) ARRAY, Toronto, Canada(10) BEC, Barcelona, Spain(11) ECMWF, Reading, UK(12) Monash University VIC, Australia(13) CDTI, Madrid, Spain(14) University of Zurich, Switzerland(15) IPSL, Paris, France(16) INRA, UMR EGC, Paris, France(17) CIRAD, Sao Paolo, Brasil

AcknowledgementThis study received financial support by TOSCA (CNES, Centre National d'Etudes Spatiales, France) and ESA (European Space Agency) in the framework of the cal/val activities of the SMOS mission.

ReferencesFerrazzoli P., R. Rahmoune, F. Grings, V. Douna, M. Salvia, H. Karszenbaum, 2010, 'Investigating the sensitivity to soil moisture variations of microwave radiometric signatures over the Argentinian Chaco Forest', Proceedings of ESA Living Planet Symposium, Bergen (Norway), June. Kerr Y. H., P. Waldteufel, J.-P. Wigneron, F. Cabot, J. Boutin, M.-J. Escorihuela, N. Reul, C. Gruhier, S. Juglea, J. Font, S. Delwart, M. Drinkwater, A. Hahne, M. Martin-Neira, S. Mecklenburg, 2010, 'The SMOS mission: new tool for monitoring key elements of the global water cycle', ieee-tgrs.Kerr Y. H., P. Waldteufel, P. Richaume,P. Ferrazzoli, and J. P. Wigneron, 2008, 'SMOS level 2 processor soil moisture algorithm theoretical basis document (ATBD)', Prepared by the Expert Support Laboratories, CESBIO, IPSL-Service d’Aéronomie, INRA-EPHYSE, Tor Vergata University For Array Systems Computing Inc.,CESBIO, Toulouse, France, ATBD SO-TN-ESL-SM-GS-0001, V3.a, Oct. 15.Wigneron J-P, Y. Kerr, P. Waldteufel, K. Saleh, M.-J. Escorihuela, P. Richaume, P. Ferrazzoli, P. de Rosnay, R. Gurney, J.-C. Calvet, J.P. Grant, M. Guglielmetti, B. Hornbuckle, C. Mätzler, T. Pellarin, M. Schwank, 'L-band Microwave Emission of the Biosphere (L-MEB) Model: Description and calibration against experimental data sets over crop fields', 2007, Remote Sens. Env., 107, 639-655.Wigneron J-P, A. Chanzy, Y. Kerr, H. Lawrence, J.-C. Shi, M-J Escorihuela, V. Mironov, A. Mialon, F. Demontoux, P. de Rosnay, K. Saleh, 2010, 'Evaluating an improved parameterization of the soil emission in L-MEB', IEEE-GE, in press

ContactCal/val SMOS

Eucalyptus

Olivier ROUPSARD

…

FRANCE

Grand Sud Ouest SMOSMANIA (CNRM)

SMOSREX (CESBIO – INRA)

Grignon

Serge RAMBAL

…

Site country – name Biomes NetworkSpain – Valencia Anchor Station (VAS) Vineyard Ernesto LOPEZ

Brasil – Itatinga FluxNet South America / UMR Eco&Sol (CIRAD) Yann NOUVELLON

Thailande Hevea FluxNet AsiaFlux / Eco&Sol Fréderic GAY

Thailande (east) Sugar Cane contact JMB (Eco&Sol) Jessada PHATTARALERPHONG

Costa Rica Coffee Forest FluxNet South Amercia (CoffeFlux) / Eco&Sol

Crops – Meadow Jean-Christophe CALVET

Toulouse (site Fauga) Meadow Arnaud MIALON

Lusignan Crops FluxNet France Abad CHABBI

Crops FluxNet France Pierre CELLIER / Nicolas MASHER

Hesse forest – Sarrebourg Deciduous broadleaf forest FluxNet France André GRANIER

Puechabon Evergreen broadleaf forest FluxNet France

Fig.1 - Probabity of Radio Frequency Interferences (RFI) in the SMOS data from 0 to 100%top <=> calculated on Ascending Orbitsbottom <=> calculated on Descending Orbitsleft <=> integrated between January 2010 and February 2010 right <=> integrated between September 2010 and November 2010

Fig.3 - FluxNet sites at global scale

 

Fig.2 - Probabity of Radio Frequency Interferences (RFI) in the SMOS data from 0 to 20%top <=> calculated on Ascending Orbitsbottom <=> calculated on Descending Orbitsleft <=> integrated between January 2010 and February 2010 right <=> integrated between September 2010 and November 2010

ITATINGA VAS

Fig. 8 - Time series of SMOS Tau products (optical depths) from 01/2010 to 11/2010 over 20 DGG nodes around Itatinga.

Fig. 9 - Zoom of a time serie of SMOS Tau products (optical depths) with DQX_Tau as uncertainty from 01/2010 to 11/2010 over the DGG 6015088 (close to the site of Itatinga).

Fig. 10 - Soil Moisture and Tau Parameters retrieved from inversion of the L-MEB mode.The retrievals are based on Dual-Polarised and Multiangular Brightness Temperaturesmesured over the VAS site (ELBARA radiometer).

Fig. 11 - Time evolution in Optical Depths over the VAS site compared with the NDVI derived from Modis data

Fig. 4 - Time series of SMOS Soil Moisture products (m3/m3) from 01/2010 to 11/2010 over 20 DGG nodes around Itatinga.

Fig. 5 - Zoom of a time serie of SMOS Soil Moisture products (m3/m3) with DQX_SM as uncertainty from 01/2010 to 11/2010 over the DGG 6015088 (close to the site of Itatinga)

Fig. 6 - Zoom of a time serie of SMOS Soil Moisture products (m3/m3) with DQX_SM as uncertainty from 01/2010 to 11/2010 over the DGG 2010598 (close to the VAS site). Comparison over few months with ground data. Rain rates (mm)are in light blue and near surface layer (0-5 cm) soil moisture (m3/m3) in dark blue.

Fig. 7 - Time series of SMOS Soil Moisture products (m3/m3) from 01/2010 to 11/2010 for 6 DGG nodes around the VAS.Comparison over a few months with ground data. Rain Rates (mm) are in light blue and near surface layer (0-5 cm) Soil Moisture (m3/m3) in dark blue.

Fig. 12 (left) – RFI probability in the SMOS data over 20 DGG around Itatinga, integrated between 09/2010 and 11/2010 (at the top for ascending orbits (from 0 to 0,2%) and at the bottom for descending ones (from 0 to 0,06%))

Fig. 12 (right) – Percentage of the actual SMOS retrievals compared to retrievals possibilities (retrieval selection is made by the decision tree). Proportions are calculated from the 20 DGG nodes values (at the top for SM and at the bottom for Tau with both colorbar between 60 and 100%).

Fig. 14 – Time serie in SMOS Soil Moisture products (m3/m3) from 01/2010 to 11/2010 and comparison with ground data over the INRA Thiverval Grignon site (close to Paris, France).Rain rates (mm)are in light blue and near surface layer (0-5 cm) soil moisture (m3/m3)curves in dark, yellow, pink and dark blue.

Fig. 15 (left) – RFI probability in SMOS data over 6 DGG around the VAS, integrated between 09/2010 and 11/2010 (at the top for ascending orbits (from 3 to 5%) and at the bottom for descending ones (from 0,6 to 1,5%))

Fig. 15 (right) – Percentage of the actual SMOS retrievals compared to retrievals possibilities (retrieval selection is made by the decision tree). Proportions are calculated from the 6 DGG nodes values (at the top for SM (from 22 to 32%) and at the bottom for Tau (from 10 to 15%)).

Sites evaluated as potential SMOS calibration/validation sites

Fig. 13 – Comparison of the percentage of the actual SMOS retrievals over the Itatinga, Thiverval Grignon and VAS sites.

First results of the evaluation of the SMOS L2 products are presented in this Poster over a few sites