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Assimilating MODIS and AMSR-E Snow Observations in a Snow Evolution Model.
- Source :
- Journal of Hydrometeorology; Oct2012, Vol. 13 Issue 5, p1475-1492, 18p, 3 Charts, 6 Graphs, 2 Maps
- Publication Year :
- 2012
-
Abstract
- In this paper four simple computationally inexpensive, direct insertion data assimilation schemes are presented, and evaluated, to assimilate Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover, which is a binary observation, and Advanced Microwave Scanning Radiometer for Earth Observing System (EOS) (AMSR-E) snow water equivalent (SWE) observations, which are at a coarser resolution than MODIS, into a numerical snow evolution model. The four schemes are 1) assimilate MODIS snow cover on its own with an arbitrary 0.01 m added to the model cells if there is a difference in snow cover; 2) iteratively change the model SWE values to match the AMSR-E equivalent value; 3) AMSR-E scheme with MODIS observations constraining which cells can be changed, when both sets of observations are available; and 4) MODIS-only scheme when the AMSR-E observations are not available, otherwise scheme 3. These schemes are used in the winter of 2006/07 over the southeast corner of Colorado and the tri-state area: Wyoming, Colorado, and Nebraska. It is shown that the inclusion of MODIS data enables the model in the north domain to have a 15% improvement in number of days with a less than 10% disagreement with the MODIS observation 24 h later and approximately 5% for the south domain. It is shown that the AMSR-E scheme has more of an impact in the south domain than the north domain. The assimilation results are also compared to station snow-depth data in both domains, where there is up-to-a-factor-of-5 underestimation of snow depth by the assimilation schemes compared with the station data but the snow evolution is fairly consistent. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 1525755X
- Volume :
- 13
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- Journal of Hydrometeorology
- Publication Type :
- Academic Journal
- Accession number :
- 82576355
- Full Text :
- https://doi.org/10.1175/JHM-D-11-082.1