Data assimilation methods in the Earth sciences
暂无分享,去创建一个
[1] Wade T. Crow,et al. A land surface data assimilation framework using the land information system : Description and applications , 2008 .
[2] Dara Entekhabi,et al. An Ensemble Multiscale Filter for Large Nonlinear Data Assimilation Problems , 2008 .
[3] R. Koster,et al. Contribution of soil moisture retrievals to land data assimilation products , 2008 .
[4] N. Verhoest,et al. Correcting for forecast bias in soil moisture assimilation with the ensemble Kalman filter , 2007 .
[5] Steven A. Margulis,et al. Correcting first‐order errors in snow water equivalent estimates using a multifrequency, multiscale radiometric data assimilation scheme , 2007 .
[6] R. Koster,et al. Comparison and assimilation of global soil moisture retrievals from the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR‐E) and the Scanning Multichannel Microwave Radiometer (SMMR) , 2007 .
[7] Wade T. Crow,et al. An adaptive ensemble Kalman filter for soil moisture data assimilation , 2007 .
[8] Michael G. Bosilovich,et al. Skin Temperature Analysis and Bias Correction in a Coupled Land-Atmosphere Data Assimilation System , 2007 .
[9] Wade T. Crow,et al. A Novel Method for Quantifying Value in Spaceborne Soil Moisture Retrievals , 2007 .
[10] J. M. Lewis,et al. Dynamic Data Assimilation: A Least Squares Approach , 2006 .
[11] D. McLaughlin,et al. Assessing the Performance of the Ensemble Kalman Filter for Land Surface Data Assimilation , 2006 .
[12] D. Lettenmaier,et al. Assimilating remotely sensed snow observations into a macroscale hydrology model , 2006 .
[13] Dara Entekhabi,et al. Computational Issues for Large-Scale Land Surface Data Assimilation Problems , 2006 .
[14] E. Wood,et al. Data Assimilation for Estimating the Terrestrial Water Budget Using a Constrained Ensemble Kalman Filter , 2006 .
[15] M. Clark,et al. Snow Data Assimilation via an Ensemble Kalman Filter , 2006 .
[16] G. Evensen. Data Assimilation: The Ensemble Kalman Filter , 2006 .
[17] Christopher K. Wikle,et al. Atmospheric Modeling, Data Assimilation, and Predictability , 2005, Technometrics.
[18] U Aswathanarayana. Advances in Water Science Methodologies , 2005 .
[19] Christian L. Keppenne,et al. Ensemble Kalman filter assimilation of temperature and altimeter data with bias correction and application to seasonal prediction , 2005 .
[20] M. Buehner,et al. Atmospheric Data Assimilation with an Ensemble Kalman Filter: Results with Real Observations , 2005 .
[21] ERA-40 Atlas , 2005 .
[22] Matthew Rodell,et al. Updating a Land Surface Model with MODIS-Derived Snow Cover , 2004 .
[23] Randal D. Koster,et al. Bias reduction in short records of satellite soil moisture , 2004 .
[24] Matthias Drusch,et al. The Usage of Screen-Level Parameters and Microwave Brightness Temperature for Soil Moisture Analysis , 2004 .
[25] R. Koster,et al. Global Soil Moisture from Satellite Observations, Land Surface Models, and Ground Data: Implications for Data Assimilation , 2004 .
[26] Ecmwf Newsletter,et al. EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS , 2004 .
[27] Jeffrey P. Walker,et al. New technologies require advances in hydrologic data assimilation , 2003 .
[28] R. Koster,et al. Assessing the Impact of Horizontal Error Correlations in Background Fields on Soil Moisture Estimation , 2003 .
[29] Victor Shutyaev,et al. Data assimilation for the earth system , 2003 .
[30] D. Menemenlis. Inverse Modeling of the Ocean and Atmosphere , 2002 .
[31] Jeffrey P. Walker,et al. Extended versus Ensemble Kalman Filtering for Land Data Assimilation , 2002 .
[32] M. Kanamitsu,et al. NCEP–DOE AMIP-II Reanalysis (R-2) , 2002 .
[33] Dennis McLaughlin,et al. An integrated approach to hydrologic data assimilation: interpolation, smoothing, and filtering , 2002 .
[34] D. McLaughlin,et al. Hydrologic Data Assimilation with the Ensemble Kalman Filter , 2002 .
[35] Rolf Reichle,et al. Variational data assimilation of microwave radiobrightness observations for land surface hydrology applications , 2001, IEEE Trans. Geosci. Remote. Sens..
[36] A. Segers,et al. Variance reduced ensemble Kalman filtering , 2001 .
[37] R. Todling,et al. Data Assimilation in the Presence of Forecast Bias: The GEOS Moisture Analysis , 2000 .
[38] Stephen E. Cohn,et al. An Introduction to Estimation Theory (gtSpecial IssueltData Assimilation in Meteology and Oceanography: Theory and Practice) , 1997 .
[39] S. Cohn,et al. An Introduction to Estimation Theory , 1997 .
[40] C. Wunsch. The Ocean Circulation Inverse Problem , 1996 .
[41] P. Malanotte‐Rizzoli. Modern approaches to data assimilation in ocean modeling , 1996 .
[42] Dennis McLaughlin,et al. Recent developments in hydrologic data assimilation , 1995 .
[43] D. Dee. On-line Estimation of Error Covariance Parameters for Atmospheric Data Assimilation , 1995 .
[44] Petros G. Voulgaris,et al. On optimal ℓ∞ to ℓ∞ filtering , 1995, Autom..
[45] A. Bennett. Inverse Methods in Physical Oceanography , 1992 .
[46] R. Daley. Atmospheric Data Analysis , 1991 .
[47] M. Ghil,et al. Data assimilation in meteorology and oceanography , 1991 .
[48] A. Tarantola. Inverse problem theory : methods for data fitting and model parameter estimation , 1987 .
[49] Arthur Gelb,et al. Applied Optimal Estimation , 1974 .