World Library  


Add to Book Shelf
Flag as Inappropriate
Email this Book

Comparing Soil Moisture Retrievals from Smos and Ascat Over France : Volume 16, Issue 2 (09/02/2012)

By Parrens, M.

Click here to view

Book Id: WPLBN0004010605
Format Type: PDF Article :
File Size: Pages 18
Reproduction Date: 2015

Title: Comparing Soil Moisture Retrievals from Smos and Ascat Over France : Volume 16, Issue 2 (09/02/2012)  
Author: Parrens, M.
Volume: Vol. 16, Issue 2
Language: English
Subject: Science, Hydrology, Earth
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2012
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Wagner, W., Zakharova, E., Lafont, S., Kerr, Y., Wigneron, J., Calvet, J., & Parrens, M. (2012). Comparing Soil Moisture Retrievals from Smos and Ascat Over France : Volume 16, Issue 2 (09/02/2012). Retrieved from http://cloud-library.org/


Description
Description: CNRM-GAME, URA1357, Météo-France, CNRS, Toulouse, France. The first products derived over France in 2010 from the L-band brightness temperatures (Tb) measured by the SMOS (Soil Moisture and Ocean Salinity) satellite, launched in November 2009, were compared with the surface soil moisture (SSM) estimates produced by the C-band Advanced Scatterometer, ASCAT, launched in 2006 on board METOP-A. SMOS and ASCAT SSM products were compared with the simulations of the ISBA-A-gs model and with in situ measurements from the SMOSMANIA network, including 21 stations located in southern France. ASCAT tended to correlate better than SMOS with ISBA-A-gs. The significant anomaly correlation coefficients between in situ observations and the SMOS (ASCAT) product ranged from 0.23 to 0.48 (0.35 to 0.96). However, in wet conditions, similar results between the two satellite products were found. An attempt was made to derive SSM from regressed empirical logarithmic equations using a combination of SMOS Tb at different incidence angles and different polarizations, and the Leaf Area Index (LAI) modeled by ISBA-A-gs. The analysis of the intercept coefficient of the regression showed an impact of topography. A similar analysis applied to ASCAT and SMOS SSM values showed a more limited impact of topography on the intercept coefficient of the SMOS SSM product, while fewer residual geographic patterns were found for the ASCAT SSM.

Summary
Comparing soil moisture retrievals from SMOS and ASCAT over France

Excerpt
Albergel, C., Rüdiger, C., Pellarin, T., Calvet, J.-C., Fritz, N., Froissard, F., Suquia, D., Petitpa, A., Piguet, B., and Martin, E.: 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, Hydrol. Earth Syst. Sci., 12, 1323–1337, doi:10.5194/hess-12-1323-2008, 2008.; Albergel, C., Rüdiger, C., Carrer, D., Calvet, J.-C., Fritz, N., Naeimi, V., Bartalis, Z., and Hasenauer, S.: An evaluation of ASCAT surface soil moisture products with in-situ observations in Southwestern France, Hydrol. Earth Syst. Sci., 13, 115–124, doi:10.5194/hess-13-115-2009, 2009.; Albergel, C., Calvet, J.-C., de Rosnay, P., Balsamo, G., Wagner, W., Hasenauer, S., Naeimi, V., Martin, E., Bazile, E., Bouyssel, F., and Mahfouf, J.-F.: Cross-evaluation of modelled and remotely sensed surface soil moisture with in situ data in southwestern France, Hydrol. Earth Syst. Sci., 14, 2177–2191, doi:10.5194/hess-14-2177-2010, 2010.; Albergel, C., Zakharova, E., Calvet, J.-C., Zribi, M., Pardé, M., Wigneron, J.-P., Novello, N., Kerr, Y., Mialon, A., and Fritz, N.: A first assessment of the SMOS data in southwestern France using in situ and airborne soil moisture estimates: the CAROLS airborne campaign, Remote Sens. Environ., 115, 2718–2728, doi:10.1016/j.rse.2011.06.012, 2011.; Albergel, C., de Rosnay, P., Gruhier, C., Muñoz-Sabater, J., Hasenauer, S., Isaksen, L., Kerr, Y., and Wagner, W.: Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations, Remote Sens. Environ., 118, 215–226, doi:10.1016/j.rse.2011.11.017, 2012.; Attema, E. W. P.: The active microwave instrument onboard the ERS-1 satellite, Proc. IEEE, 79, 791–799, 1991.; Bartalis, Z., Hasenauer, S., Naeimi, V., and Wagner, W.: WARP-NRT 2.0 Reference Manual, ASCAT Soil Moisture Report Series, No. 14, Institute of Photogrammetry and Remote Sensing, Vienna University of Technology, Austria, 26, 2007a.; Deardorff, J. W.: Efficient prediction of ground surface temperature and moisture with inclusion of a layer of vegetation, J. Geophys. Res., 83, 1889–1903, 1978.; Bartalis, Z., Wagner, W., Naeimi, V., Hasenauer, S., Scipal, K., Bonekamp, H., Figa, J., and Anderson, C.: Initial soil moisture retrievals from the METOP-A advanced Scatterometer (ASCAT), Geophys. Res. Lett., 34, L20401, doi:10.1029/2007GL031088, 2007b.; Beljaars, A., Viterbo, P., Miller, M., and Betts, A.: The anomalous rainfall over the United States during July 1993: sensitivity to land surface parameterization and soil moisture anomalies, Mon. Weather Rev., 124, 362–383, 1996.; Boone, A. and Etchevers, P.: An inter-comparison of three snow schemes of varying complexity coupled to the same land-surface model: local scale evaluation at an Alpine site, J. Hydrometeorol., 2, 374–394, 2001.; Boone, A., Calvet, J.-C., and Noilhan, J.: Inclusion of a third soil layer in a land surface scheme using the force-restore method, J. Appl. Meteorol., 38, 1611–1630, 1999.; Brocca, L., Melone, F., Moramarco, T., Wagner, W., and Hasenauer, S.: ASCAT soil wetness index validation through in-situ and modeled soil moisture data in central Italy, Remote Sens. Environ., 114, 2745–2755, 2010b.; Brocca, L., Melone, F., Moramarco, T., Wagner, W., Naeimi, V., Bartalis, Z., and Hasenauer, S.: Improving runoff prediction through the assimilation of the ASCAT soil moisture product, Hydrol. Earth Syst. Sci., 14, 1881–1893, doi:10.5194/hess-14-1881-2

 

Click To View

Additional Books


  • Rapid Channel Incision of the Lower Pear... (by )
  • A Physically Based Approach for the Esti... (by )
  • Participatory Scenario Development for I... (by )
  • Hydrological Processes and Water Resourc... (by )
  • Optimising Training Data for Anns with G... (by )
  • Upscaling of Evapotranspiration Fluxes f... (by )
  • Evaluating the Effect of Partial Contrib... (by )
  • Uncertainty Propagation in a Cascade Mod... (by )
  • Predicting Long-term Recovery of a Stron... (by )
  • Temporal Variability in Phosphorus Trans... (by )
  • Watershed Discretization Based on Multip... (by )
  • Chemical Trends at Lakes and Streams in ... (by )
Scroll Left
Scroll Right

 



Copyright © World Library Foundation. All rights reserved. eBooks from Cloud eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.