World Library  

Add to Book Shelf
Flag as Inappropriate
Email this Book

Retrieval of Snow Specific Surface Area (Ssa) from Modis Data in Mountainous Regions : Volume 6, Issue 3 (31/05/2012)

By Mary, A.

Click here to view

Book Id: WPLBN0004022674
Format Type: PDF Article :
File Size: Pages 47
Reproduction Date: 2015

Title: Retrieval of Snow Specific Surface Area (Ssa) from Modis Data in Mountainous Regions : Volume 6, Issue 3 (31/05/2012)  
Author: Mary, A.
Volume: Vol. 6, Issue 3
Language: English
Subject: Science, Cryosphere, Discussions
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


APA MLA Chicago

Milhem, H., Durand, Y., Dedieu, J., Mestre, O., Mary, A., Sirguey, P.,...Negi, H. S. (2012). Retrieval of Snow Specific Surface Area (Ssa) from Modis Data in Mountainous Regions : Volume 6, Issue 3 (31/05/2012). Retrieved from

Description: Météo-France – CNRS, CNRM – GAME URA 1357, GMAP, Toulouse, France. This study describes a method to retrieve snow specific surface area (SSA) from satellite radiance reasurements in mountainous terrain. It aims at comparing different retrieval methods and at addressing topographic corrections of reflectance, namely slope and aspect of terrain and multiple reflections on neighbouring slopes. We use an iterative algorithm to compute reflectance from radiance of the MODerate resolution Imaging Spectrometer (MODIS) with a comprehensive correction of local illumination with regards to topography. The retrieved SSA is compared to the results of the snowpack model Crocus, fed by driving data from the SAFRAN meteorological analysis, over a large domain in the French Alps. We compared SSA retrievals with and without topographic or anisotropy correction, and with a spherical or non-spherical snow reflectance model. The topographic correction enables SSA to be retrieved in better agreement with those from SAFRAN-Crocus. The root mean square deviation is 10.0 m2 kg−1 and the bias is −0.6 m2 kg−1, over 3829 pixels representing seven different dates and snow conditions. The standard deviation of MODIS retrieved data, larger than the one of SAFRAN-Crocus estimates, is responsible for half this RMSD. It is due to the topographic classes used by SAFRAN-Crocus. In addition, MODIS retrieved data show SSA gradients with elevation and solar exposition, physically consistent and in good agreement with SAFRAN-Crocus.

Retrieval of snow Specific Surface Area (SSA) from MODIS data in mountainous regions

Aoki, T., Aoki, T., Fukabori, M., Hachiubo, A., Tachibana, Y., and Nishio, F.: Effects of snow physical parameters on spectral albedo and bidirectional reflectance of snow surface, J. Geophys. Res., 105, 10219–10236, doi:10.1029/1999JD901122, 2000.; Armstrong, R. and Brun, E.: Snow and Climate: Physical Processes, Surface Energy Exchange and Modeling, Cambridge University Press, Cambridge, 2008.; Bird, R. E. and Riordan, C.: Simple solar spectral model for direct and diffuse irradiance on horizontal and tilted planes at the earth's surface for cloudless atmospheres, J. Clim. Appl. Meteorol., 25, 87–97, 1986.; Brun, E., Martin, E., Simon, V., Gendre, C., and Coléou, C.: An energy and mass model of snow cover suitable for operational avalanche forecasting, J. Glaciol., 35, 333–342, 1989.; Brun, E., David, P., Sudul, M., and Brunot, G.: A numerical model to simulate snow-cover stratigraphy for operational avalanche forecasting, J. Glaciol., 38, 13–22, 1992.; Courtier, P., Freydier, C., Geleyn, J.-F., Rabier, F., and Rochas, M.: The Arpege project at M{é}t{é}o-France, ECMWF, Reading, UK, 193–231, 1991.; Domine, F., Taillandier, A.-S., and Simpson, W. R.: A parameterization of the specific surface area of seasonal snow for field use and for models of snowpack evolution, J. Geophys. Res., 112, doi:10.1029/2006JF000512, 2007.; Dozier, J., Bruno, J., and Downey, P.: A faster solution to the horizon problem, Comput. Geosci., 7, 145–151, doi:10.1016/0098-3004(81)90026-1, 1981.; Dumont, M., Brissaud, O., Picard, G., Schmitt, B., Gallet, J.-C., and Arnaud, Y.: High-accuracy measurements of snow Bidirectional Reflectance Distribution Function at visible and NIR wavelengths – comparison with modelling results, Atmos. Chem. Phys., 10, 2507–2520, doi:10.5194/acp-10-2507-2010, 2010.; Dumont, M., Sirguey, P., Arnaud, Y., and Six, D.: Monitoring spatial and temporal variations of surface albedo on Saint Sorlin Glacier (French Alps) using terrestrial photography, The Cryosphere, 5, 759–771, doi:10.5194/tc-5-759-2011, 2011.; Dumont, M., Durand, Y., Arnaud, Y., and Six, D.: Variational assimilation of albedo in a snowpack model and reconstruction of the spatial mass-balance distribution of an alpine glacier, J. Glaciol., 58, 151–164, doi:10.3189/2012JoG11J163, 2012.; Durand, Y., Brun, E., Merindol, L., Guyomarc'h, G., Lesaffre, B., and Martin, E.: A meteorological estimation of relevant parameters for snow models, Ann. Glaciol., 18, 65–71, 1993.; Durand, Y., Giraud, G., Brun, E., Merindol, L., and Martin, E.: A computer-based system simulating snowpack structures as a tool for regional avalanche forecasting, J. Glaciol., 45, 469–484, 1999.; Farr, T. G., Rosen, P. A., Caro, E., Crippen, R., Duren, R., Hensley, S., Kobrick, M., Paller, M., Rodriguez, E., Roth, L., Seal, D., Shaffer, S., Shimada, J., Umland, J., Werner, M., Oskin, M., Burbank, D., and Alsdorf, D. : The shuttle radar


Click To View

Additional Books

  • Radio-frequency Probes of Antarctic Ice ... (by )
  • Climate of the Greenland Ice Sheet Using... (by )
  • Data Assimilation and Prognostic Whole I... (by )
  • Estimating Greenland Ice Sheet Surface M... (by )
  • Is Snow Sublimation Important in the Alp... (by )
  • Antarctic Summer Sea Ice Concentration a... (by )
  • Sensitivity of the Weddell Sea Sector Ic... (by )
  • Brief Communication: Contending Estimate... (by )
  • Retrieval of Snow Grain Size and Albedo ... (by )
  • Changing Basal Conditions During the Spe... (by )
  • Grounding Line Transient Response in Mar... (by )
  • Sea Ice Thickness, Freeboard, and Snow D... (by )
Scroll Left
Scroll Right


Copyright © World Library Foundation. All rights reserved. eBooks from World 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.