Evaluating the Impact of Assimilating Soil Moisture Variability Data on Latent Heat Flux Estimation in a Land Surface Model

References

• Alavi , N. , Warland , J. S. and Berg , A. A. 2006 . Filling gaps in evapotranspirationmeasurements for water budget studies: Evaluation of a Kalman filtering approach. . Agricultural and Forest Meteorology , 141 : 57 – 66 .
   Google Scholar
• Arain , M. A. , Black , T. A. , Barr , A. G. , Jarvis , P. G. , Massheder , J. M. , Verseghy , D. L. and Nesic , Z. 2002 . Effects of seasonal and interannual climate variability on net ecosystem productivity of boreal deciduous and conifer forests. . Canadian Journal of Forest Research-Revue Canadienne De Recherche Forestiere , 32 : 878 – 891 .
   Web of Science ®Google Scholar
• Arora , V. K. 2003 . Simulating energy and carbon fluxes over winter wheat using coupled land surface and terrestrial ecosystem models. . Agricultural and Forest Meteorology , 118 : 21 – 47 .
   Web of Science ®Google Scholar
• Aubinet , M. , Grelle , A. , Ibrom , A. , Rannik , U. , Moncrieff , J. , Foken , T. , Kowalski , A. S. , Martin , P. H. , Berbigier , P. , Bernhofer , C. , Clement , R. , Elbers , J. , Granier , A. , Grunwald , T. , Morgenstern , K. , Pilegaard , K. , Rebmann , C. , Snijders , W. , Valentini , R. and Vesala , T. 2000 . Estimates of the annual net carbon and water exchange of forests: The EUROFLUX methodology. . Advances in Ecological Research , 30 : 113 – 175 .
   Web of Science ®Google Scholar
• Bailey , W. G. , Saunders , I. R. , Bowers , J. S. and Verseghy , D. L. 2000 . Application of the Canadian Land Surface Scheme to a full canopy crop during a drying cycle. . Atmosphere-Ocean , 38 : 57 – 80 .
   Web of Science ®Google Scholar
• Baldocchi , D. , Falge , E. , Gu , L. H. , Olson , R. , Hollinger , D. , Running , S. , Anthoni , P. , Bernhofer , C. , Davis , K. , Evans , R. , Fuentes , J. , Goldstein , A. , Katul , G. , Law , B. , Lee , X. H. , Malhi , Y. , Meyers , T. , Munger , W. , Oechel , W. , Pilegaard , K. T. P. U. K. , Schmid , H. P. , Valentini , R. , Verma , S. , Vesala , T. , Wilson , K. and Wofsy , S. 2001 . FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities. . Bulletin of the American Meteorological Society , 82 : 2415 – 2434 .
   Web of Science ®Google Scholar
• Blanken , P. D. , Black , T. A. , Yang , P. C. , Neumann , H. H. , Nesic , Z. , Staebler , R. , den Hartog , G. , Novak , M. D. and Lee , X. 1997 . Energy balance and canopy conductance of a boreal aspen forest: Partitioning overstory and understory components. . Journal of Geophysical Research-Atmospheres , 102 : 28915 – 28927 .
   Web of Science ®Google Scholar
• Bristow , K. L. , Kluitenberg , G. J. and Horton , R. 1994 . Measurement of soil thermal-properties with a dual-probe heat-pulse technique. . Soil science society of America Journal , 58 : 1288 – 1294 .
   Web of Science ®Google Scholar
• Chen , F. , Mitchell , K. , Schaake , J. , Xue , Y. K. , Pan , H. L. , Koren , V. , Duan , Q. Y. , Ek , M. and Betts , A. 1996 . Modeling of land surface evaporation by four schemes and comparison with FIFE observations. . Journal of Geophysical Research-Atmospheres , 101 : 7251 – 7268 .
   Web of Science ®Google Scholar
• Cosh , M. H. , Jackson , T. J. , Bindlish , R. and Prueger , J. H. 2004 . Watershed scale temporal and spatial stability of soil moisture and its role in validating satellite estimates. . Remote Sensing of Environment , 92 : 427 – 435 .
   Web of Science ®Google Scholar
• Cosh , M. H. , Jackson , T. J. , Bindlish , R. , Famiglietti , J. S. and Ryu , D. 2005 . Calibration of an impedance probe for estimation of surface soil water content over large regions. . Journal of Hydrology , 311 : 49 – 58 .
   Web of Science ®Google Scholar
• Crow , W. T. 2003 . Correcting land surface model predictions for the impact of temporally sparse rainfall rate measurements using an ensemble Kalman filter and surface brightness temperature observations. . Journal of Hydrometeorology , 4 : 960 – 973 .
   Google Scholar
• Crow , W. T. and Wood , E. F. 2003 . The assimilation of remotely sensed soil brightness temperature imagery into a land surface model using Ensemble Kalman filtering: A case study based on ESTAR measurements during SGP97. . Advances in Water Resources , 26 : 137 – 149 .
   Web of Science ®Google Scholar
• Dunne , S. and Entekhabi , D. 2006 . Land surface state and flux estimation using the ensemble Kalman smoother during the Southern Great Plains 1997 field experiment. . Water Resources Research , 42 : 15
   Google Scholar
• Evensen , G. 1994 . Sequential data assimilation with a nonlinear quasi-geostrophic model using montecarlo methods to forecast error statistics. . Journal of Geophysical Research-Oceans , 99 : 10143 – 10162 .
   Web of Science ®Google Scholar
• Evensen , G. 2004 . Sampling strategies and square root analysis schemes for the EnKF. . Ocean Dynamics , 54 : 539 – 560 .
   Web of Science ®Google Scholar
• Famiglietti , J. , Ryu , D. , Berg , A. A. , Rodell , M. and Jackson , T. J. 2008 . Field observations of soil moisture variability across scales. . Water Resources Research , 44 W01423, doi:10.1029/2006WR005804
   Google Scholar
• Houser , P. R. , Shuttleworth , W. J. , Famiglietti , J. S. , Gupta , H. V. , Syed , K. H. and Goodrich , D. C. 1998 . Integration of soil moisture remote sensing and hydrologic modeling using data assimilation
   Google Scholar
• Water Resources Research , 34 3405 – 3420 .
   Google Scholar
• Houtekamer , P. L. and Mitchell , H. 1998 . Data assimilation using an ensemble Kalman filter technique. . Monthly Weather Review , 126 : 796 – 811 .
   Web of Science ®Google Scholar
• Jacobs , J. M. , Mohanty , B. P. , Hsu , E. C. and Miller , D. 2004 . SMEX02: Field scale variability, time stability and similarity of soil moisture. . Remote Sensing of Environment , 92 : 436 – 446 .
   Web of Science ®Google Scholar
• Jarvis , P. G. 1976 . The interpretation of the variations in leaf water potential and stomatal conductance found in canopies in the field. . Philosophical Transactions of the Royal Society , B 273 : 593 – 610 .
   Web of Science ®Google Scholar
• Kalman , R. E. 1960 . A new approach to linear filtering and prediction problems. . Trans. ASME. Ser. D. Journal of Basic Engineering , 82 : 35 – 45 .
   Google Scholar
• Kothavala , Z. , Arain , M. A. , Black , T. A. and Verseghy , D. 2005 . The simulation of energy, water vapor and carbon dioxide fluxes over common crops by the Canadian Land Surface Scheme (CLASS). . Agricultural and Forest Meteorology , 133 : 89 – 108 .
   Google Scholar
• Lee , X. H. and Hu , X. Z. 2002 . Forest-air fluxes of carbon, water and energy over non- flat terrain. . Boundary-Layer Meteorology , 103 : 277 – 301 .
   Web of Science ®Google Scholar
• Margulis , S. A. , McLaughlin , D. , Entekhabi , D. and Dunne , S. 2002 . Land data assimilation and estimation of soil moisture using measurements from the Southern Great Plains 1997 Field Experiment. . Water Resources Research , 38 : 12 doi:10.1029/2001WR001114
   Google Scholar
• McCoy , A. J. , Parkin , G. W. , Wagner-Riddle , C. , Warland , J. S. , Lauzon , J. , von Bertoldi , P. , Fallow , D. and Jayasundara , S. 2006 . Using automated soil water content and temperature measurement systems to estimate soil water budget. . Canadian Journal of Soil Science , 86 : 47 – 56 .
   Google Scholar
• Merlin , O. , Chehbouni , A. G. , Kerr , Y. H. , Njoku , E. G. and Entekhabi , D. 2005 . A combined modeling and multipectral/multiresolution remote sensing approach for disaggregation of surface soil moisture: Application to SMOS configuration. . IEEE Transactions on Geoscience and Remote Sensing , 43 : 2036 – 2050 .
   Web of Science ®Google Scholar
• Merlin , O. , Chehbouni , A. , Boulet , G. and Kerr , Y. 2006 . Assimilation of disaggregated microwave soil moisture into a hydrologic model using coarse-scale meteorological data. . Journal of Hydrometeorology , 7 : 1308 – 1322 .
   Google Scholar
• Rahman , M. M. , Moran , M. S. , Thoma , D. P. , Bryant , R. , Holifield Collins , C. D. , Jackson , T. , Orr , B. J. and Tischler , M. 2008 . Mapping surface roughness and soil moisture using multi-angle radar imagery without ancillary data. . Remote Sensing of Environment , 112 : 391 – 402 .
   Web of Science ®Google Scholar
• Reichle , R. H. , McLaughlin , D. B. and Entekhabi , D. 2002 . Hydrologic data assimilation with the ensemble Kalman filter. . Monthly Weather Review , 130 : 103 – 114 .
   Web of Science ®Google Scholar
• Su , Z. 2002 . The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes. . Hydrology and Earth System Sciences , 6 : 85 – 99 .
   Web of Science ®Google Scholar
• Twine , T. E. , Kustas , W. P. , Norman , J. M. , Cook , D. R. , Houser , P. R. , Meyers , T. P. , Prueger , J. H. , Starks , P. J. and Wesely , M. L. 2000 . Correcting eddy- covariance flux underestimates over a grassland. . Agricultural and Forest Meteorology , 103 : 279 – 300 .
   Web of Science ®Google Scholar
• Verseghy , D. L. 1991 . CLASS - a Canadian land surface scheme for GCMS. I. Soil model. . International Journal of Climatology , 11 : 111 – 133 .
   Web of Science ®Google Scholar
• Verseghy , D. L. , McFarlane , N. A. and Lazare , M. 1993 . CLASS—A Canadian land-surface scheme for GCMS. II. Vegetation model and coupled runs. . International Journal of Climatology , 13 : 347 – 370 .
   Web of Science ®Google Scholar
• Western , A. W. and Bloschl , G. 1999 . On the spatial scaling of soil moisture. . Journal of Hydrology , 217 : 203 – 224 .
   Web of Science ®Google Scholar
• Wilson , K. , Goldstein , A. , Falge , E. , Aubinet , M. , Baldocchi , D. , Berbigier , P. , Bernhofer , C. , Ceulemans , R. , Dolman , H. , Field , C. , Grelle , A. , Ibrom , A. , Law , B. E. , Kowalski , A. , Meyers , T. , Moncrieff , J. , Monson , R. , Oechel , W. , Tenhunen , J. , Valentini , R. and Verma , S. 2002 . Energy balance closure at FLUXNET sites. . Agricultural and Forest Meteorology , 113 : 223 – 243 .
   Web of Science ®Google Scholar
• Zhou , Y. H. , McLaughlin , D. and Entekhabi , D. 2006 . Assessing the performance of the ensemble Kalman filter for land surface data assimilation. . Monthly Weather Review , 134 : 2128 – 2142 .
   Web of Science ®Google Scholar