The potential of 2D Kalman filtering for soil moisture data assimilation

Remote Sensing of Environment

Volumn 171, Issue , 2015, Pages 137-148

  Gruber, Alexander ^a,b   Crow, Wade ^b   Dorigo, Wouter ^a   Wagner, Wolfgang ^a  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

^b AGRICULTURAL RESEARCH SERVICE   (United States)

Author keywords

ASCAT; Data assimilation; Kalman filter; Soil moisture; Triple collocation

Indexed keywords

ERROR STATISTICS; ERRORS; KALMAN FILTERS; MOISTURE; SOIL SURVEYS; SOILS; WATER RESOURCES;

ANALYTICAL EVALUATION; ASCAT; DATA ASSIMILATION; LAND DATA ASSIMILATION SYSTEMS; LAND SURFACE MODELING; SURFACE SOIL MOISTURE; TRIPLE COLLOCATION; TWO DIMENSIONAL (2 D);

SOIL MOISTURE;

ASCAT; BASELINE SURVEY; DATA ASSIMILATION; ERROR CORRECTION; KALMAN FILTER; LAND SURFACE; MICROWAVE IMAGERY; PARAMETERIZATION; SOIL MOISTURE; SPATIAL ANALYSIS; TWO-DIMENSIONAL MODELING;

EID: 84945383076     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.10.019     Document Type: Article

References (24)

1. Bolten J., Crow W. Improved prediction of quasi-global vegetation conditions using remotely-sensed surface soil moisture. Geophysical Research Letters 2012, 39(19).
2. Brocca L., Moramarco T., Melone F., Wagner W., Hasenauer S., Hahn S. Assimilation of surface-and root-zone ascat soil moisture products into rainfall-runoff modeling. IEEE Transactions on Geoscience and Remote Sensing 2012, 50(7):2542-2555.
3. Crow W., Van den Berg M. An improved approach for estimating observation and model error parameters in soil moisture data assimilation. Water Resources Research 2010, 46(12).
4. Crow W., Yilmaz M.T. The auto-tuned land data assimilation system (atlas). Water Resources Research 2014, 50(1):371-385.
5. Crow W.T., Van Loon E. Impact of incorrect model error assumptions on the sequential assimilation of remotely sensed surface soil moisture. Journal of Hydrometeorology 2006, 7(3):421-432.
6. Crow W., Kumar S., Bolten J. On the utility of land surface models for agricultural drought monitoring. Hydrology and Earth System Sciences 2012, 16(9):3451-3460.
7. de Rosnay P., Drusch M., Vasiljevic D., Balsamo G., Albergel C., Isaksen L. A simplified extended kalman filter for the global operational soil moisture analysis at ECMWF. Quarterly Journal of the Royal Meteorological Society 2013, 139(674):1199-1213.
8. Dorigo W.A., Scipal K., Parinussa R.M., Liu Y.Y., Wagner W., de Jeu R.A.M., Naeimi V. Error characterisation of global active and passive microwave soil moisture datasets. Hydrology and Earth System Sciences 2010, 14(12):2605-2616.
9. Dorigo W.A., Wagner W., Hohensinn R., Hahn S., Paulik C., Xaver A., Jackson T. The international soil moisture network: A data hosting facility for global in situ soil moisture measurements. Hydrology and Earth System Sciences 2011, 15(5):1675-1698.
10. Dorigo W., Xaver A., Vreugdenhil M., Gruber A., Hegyiová A., Sanchis-Dufau A., Drusch M. Global automated quality control of in situ soil moisture data from the international soil moisture network. Vadose Zone Journal 2013, 12(3).
11. Han X., Li X., Hendricks Franssen H., Vereecken H., Montzka C. Spatial horizontal correlation characteristics in the land data assimilation of soil moisture. Hydrology and Earth System Sciences 2012, 16(5):1349-1363.
12. Huffman G.J., Adler R.F., Bolvin D.T., Nelkin E.J. The TRMM multi-satellite precipitation analysis (TMPA). Satellite Rainfall Applications for Surface Hydrology 2010, 3-22. Springer.
13. Jackson T., Cosh M., Bindlish R., Starks P., Bosch D., Seyfried M., Du J. Validation of advanced microwave scanning radiometer soil moisture products. IEEE Transactions on Geoscience and Remote Sensing 2010, 48(12):4256-4272.
14. Kerr Y., Waldteufel P., Wigneron J.-P., Delwart S., Cabot F., Boutin J., Mecklenburg S. The SMOS mission: New tool for monitoring key elements ofthe global water cycle. Proceedings of the IEEE 2010, 98(5):666-687.
15. Liu Q., Reichle R.H., Bindlish R., Cosh M.H., Crow W.T., de Jeu R., Jackson T.J. The contributions of precipitation and soil moisture observations to the skill of soil moisture estimates in a land data assimilation system. Journal of Hydrometeorology 2011, 12(5):750-765.
16. McColl K.A., Vogelzang J., Konings A.G., Entekhabi D., Piles M., Stoffelen A. Extended triple collocation: Estimating errors and correlation coefficients with respect to an unknown target. Geophysical Research Letters 2014, 41(17):6229-6236.
17. Naeimi V., Paulik C., Bartsch A., Wagner W., Kidd R., Park S.-E., Boike J. ASCAT surface state flag (SSF): Extracting information on surface freeze/thaw conditions from backscatter data using an empirical threshold-analysis algorithm. IEEE Transactions on Geoscience and Remote Sensing 2012, 50(7):2566-2582.
18. Naeimi V., Scipal K., Bartalis Z., Hasenauer S., Wagner W. An improved soil moisture retrieval algorithm for ERS and METOP scatterometer observations. IEEE Transactions on Geoscience and Remote Sensing 2009, 47(7):1999-2013.
19. Reichle R.H., Koster R.D. Assessing the impact of horizontal error correlations in background fields on soil moisture estimation. Journal of Hydrometeorology 2003, 4(6):1229-1242.
20. Reichle R.H., Crow W.T., Keppenne C.L. An adaptive ensemble kalman filter for soil moisture data assimilation. Water Resources Research 2008, 44(3).
21. Scipal K., Holmes T., de Jeu R., Naeimi V., Wagner W. A possible solution for the problem of estimating the error structure of global soil moisture data sets. Geophysical Research Letters 2008, 35(24):L24403.
22. Stoffelen A. Toward the true near-surface wind speed: Error modeling and calibration using triple collocation. Journal of Geophysical Research 1998, 103(C4):7755-7766.
23. Wagner W., Lemoine G., Rott H. A method for estimating soil moisture from ERS scatterometer and soil data. Remote Sensing of Environment 1999, 70(2):191-207. 10.1016/S0034-4257(99)00036-X.
24. Zwieback S., Scipal K., Dorigo W., Wagner W. Structural and statistical properties of the collocation technique for error characterization. Nonlinear Processes in Geophysics 2012, 19(1):69-80.