New technologies require advances in hydrologic data assimilation

Eos

Volumn 84, Issue 49, 2003, Pages

  Walker, Jeffrey P ^a   Houser, Paul R ^b   Reichle, Rolf H ^b  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 12144255973     PISSN: 00963941     EISSN: None     Source Type: Journal    
DOI: 10.1029/2003EO490002     Document Type: Article

References (6)

1. Crow, W., and E. F. Wood, The assimilation of remotely sensed soil brightness temperature imagery into a land surface model using ensemble filtering:A case study based on ESTAR measurements during SGP97, Adv. Water Resour., 26, 137-149, 2003.
2. Houser, P. R., W. J. Shuttleworth, H. V Gupta, J. S. Famiglietti, K. H. Syed, and D. C. Goodrich. Integration of soil moisture remote sensing and hydrologic modeling using data assimilation, Water Resour. Res., 34, 3405-3420, 1998.
3. McLaughlin, D., An integrated approach to hydrologic data assimilation: Interpolation, smoothing, and forecasting, Adv. Water Resour., 25, 1275-1286, 2002.
4. Reichle, R. H., D. B. McLaughlin, and D. Entekhabi, Hydrologic data assimilation with the ensemble Kalman filter, Mon. Weath. Rea, 130, 103-114, 2002.
5. Troch, PA., C. Paniconi, and D. B. McLaughlin, Catchment-scale hydrological modeling and data assimilation, Adv. Water Resour, 26, 131-217, 2003.
6. Walker, J. P, G. R. Willgoose, and J. D. Kalma. Three-dimensional soil moisture profile retrieval by assimilation of near surface measurements: Simplified Kalman filter covariance forecasting and field application, Water Resour. Res., 38 (12), 1301, doi: 10.11029/2002/WRR001545. 2002.