Can SMOS Data be Used Directly on the 15-km Discrete Global Grid?

作者: Gift Dumedah , Jeffrey P. Walker , Christoph Rudiger

DOI: 10.1109/TGRS.2013.2262501

关键词:

摘要: Radiometric observations from the Soil Moisture and Ocean Salinity (SMOS) mission are processed to Level 1 brightness temperature (Tb) with ~ 42-km spatial resolution reported on a 15-km hexagonal Discrete Global Grid (DGG). While these data should be used at which oversampled DGG represents, this paper poses question of whether they can directly without undertaking downscaling or implementing multiscale-type procedures when in assimilation. To assess error associated using SMOS Tb resolution, study employs 1-km Australian Airborne Cal/Val Experiment for (AACES). The compares SMOS-like derived AACES values actually observed DGG. These subsequently interpolated regular 12-km model grid compared actual that resolution. results show average root mean square differences between 15- footprints 4.5 K 3.9 horizontal (H) vertical (V) polarizations, respectively, maximum difference 12.9 K. errors interpolating onto were estimated 3.3 H polarization 2.9 V under assumption independence 4.0 3.6 interpolation process alone. An evaluation assumed found no correlation vegetation based leaf area index only slight variance topographic roughness. Given noise currently exists 42 km, equivalent further degrading quality.

参考文章(9)
S. Peischl, J. P. Walker, C. Rüdiger, N. Ye, Y. H. Kerr, E. Kim, R. Bandara, M. Allahmoradi, The AACES field experiments: SMOS calibration and validation across the Murrumbidgee River catchment Hydrology and Earth System Sciences. ,vol. 16, pp. 1697- 1708 ,(2012) , 10.5194/HESS-16-1697-2012
J.P. Grant, A.A. Van de Griend, J.-P. Wigneron, K. Saleh, R. Panciera, J.P. Walker, Influence of forest cover fraction on L-band soil moisture retrievals from heterogeneous pixels using multi-angular observations Remote Sensing of Environment. ,vol. 114, pp. 1026- 1037 ,(2010) , 10.1016/J.RSE.2009.12.016
R. H. Reichle, W. T. Crow, R. D. Koster, H. O. Sharif, S. P. P. Mahanama, Contribution of soil moisture retrievals to land data assimilation products Geophysical Research Letters. ,vol. 35, ,(2008) , 10.1029/2007GL031986
María Piles, Adriano Camps, Mercè Vall-llossera, Ignasi Corbella, Rocco Panciera, Christoph Rudiger, Yann H. Kerr, Jeffrey Walker, Downscaling SMOS-Derived Soil Moisture Using MODIS Visible/Infrared Data IEEE Transactions on Geoscience and Remote Sensing. ,vol. 49, pp. 3156- 3166 ,(2011) , 10.1109/TGRS.2011.2120615
Olivier Merlin, Christoph Rudiger, Ahmad Al Bitar, Philippe Richaume, Jeffrey P. Walker, Yann H. Kerr, Disaggregation of SMOS Soil Moisture in Southeastern Australia IEEE Transactions on Geoscience and Remote Sensing. ,vol. 50, pp. 1556- 1571 ,(2012) , 10.1109/TGRS.2011.2175000
Yann H Kerr, Philippe Waldteufel, Jean-Pierre Wigneron, Steven Delwart, François Cabot, Jacqueline Boutin, Maria-José Escorihuela, Jordi Font, Nicolas Reul, Claire Gruhier, Silvia Enache Juglea, Mark R Drinkwater, Achim Hahne, Manuel Martín-Neira, Susanne Mecklenburg, The SMOS Mission: New Tool for Monitoring Key Elements ofthe Global Water Cycle Proceedings of the IEEE. ,vol. 98, pp. 666- 687 ,(2010) , 10.1109/JPROC.2010.2043032
Ming Pan, Eric F. Wood, Impact of Accuracy, Spatial Availability, and Revisit Time of Satellite-Derived Surface Soil Moisture in a Multiscale Ensemble Data Assimilation System IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. ,vol. 3, pp. 49- 56 ,(2010) , 10.1109/JSTARS.2010.2040585