Soil Moisture Data Assimilation

[1]  Florian Pappenberger,et al.  ERA-Interim/Land: a global land water resources dataset , 2013 .

[2]  G. Lannoy,et al.  Global Calibration of the GEOS-5 L-Band Microwave Radiative Transfer Model over Nonfrozen Land Using SMOS Observations , 2013 .

[3]  D. McLaughlin,et al.  Hydrologic Data Assimilation with the Ensemble Kalman Filter , 2002 .

[4]  Rolf H. Reichle,et al.  Connecting Satellite Observations with Water Cycle Variables Through Land Data Assimilation: Examples Using the NASA GEOS-5 LDAS , 2013, Surveys in Geophysics.

[5]  Dara Entekhabi,et al.  Solving the inverse problem for soil moisture and temperature profiles by sequential assimilation of multifrequency remotely sensed observations , 1994, IEEE Trans. Geosci. Remote. Sens..

[6]  Randal D. Koster,et al.  Bias reduction in short records of satellite soil moisture , 2004 .

[7]  Gabrielle De Lannoy,et al.  Ensemble‐based assimilation of discharge into rainfall‐runoff models: A comparison of approaches to mapping observational information to state space , 2009 .

[8]  Y. Kerr,et al.  L-band Microwave Emission of the Biosphere (L-MEB) Model: Description and calibration against experimental data sets over crop fields , 2007 .

[9]  K. Mo,et al.  Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products , 2012 .

[10]  Praveen Kumar,et al.  A catchment‐based approach to modeling land surface processes in a general circulation model: 1. Model structure , 2000 .

[11]  Uang,et al.  The NCEP Climate Forecast System Reanalysis , 2010 .

[12]  F. Bouyssel,et al.  A comparison of two off‐line soil analysis schemes for assimilation of screen level observations , 2009 .

[13]  Stéphane Bélair,et al.  Operational Implementation of the ISBA Land Surface Scheme in the Canadian Regional Weather Forecast Model. Part II: Cold Season Results , 2003 .

[14]  R. Koster,et al.  Assessing the Impact of Horizontal Error Correlations in Background Fields on Soil Moisture Estimation , 2003 .

[15]  Klaus Scipal,et al.  A possible solution for the problem of estimating the error structure of global soil moisture data sets , 2008 .

[16]  J. Famiglietti,et al.  Estimating groundwater storage changes in the Mississippi River basin (USA) using GRACE , 2007 .

[17]  T. Mo,et al.  A model for microwave emission from vegetation‐covered fields , 1982 .

[18]  Reinhold Hess,et al.  Evaluation of the variational soil moisture assimilation scheme at Deutscher Wetterdienst , 2008 .

[19]  M. Drusch,et al.  Estimation of Radiative Transfer Parameters from L‐Band Passive Microwave Brightness Temperatures Using Advanced Data Assimilation , 2013 .

[20]  Klaus Scipal,et al.  Towards a Kalman Filter based soil moisture analysis system for the operational ECMWF Integrated Forecast System , 2009 .

[21]  J. M. Sabater,et al.  From near-surface to root-zone soil moisture using different assimilation techniques , 2007 .

[22]  M. Mccabe,et al.  Estimation of regional terrestrial water cycle using multi-sensor remote sensing observations and data assimilation , 2008 .

[23]  L. Isaksen,et al.  A simplified Extended Kalman Filter for the global operational soil moisture analysis at ECMWF , 2013 .

[24]  Jeffrey P. Walker,et al.  THE GLOBAL LAND DATA ASSIMILATION SYSTEM , 2004 .

[25]  D. Lawrence,et al.  Regions of Strong Coupling Between Soil Moisture and Precipitation , 2004, Science.

[26]  E. Bazile,et al.  Implementation of a New Assimilation Scheme for Soil and Surface Variables in a Global NWP Model , 2000 .

[27]  Niko E. C. Verhoest,et al.  Assessment of model uncertainty for soil moisture through ensemble verification , 2006 .

[28]  Wade T. Crow,et al.  The Auto‐Tuned Land Data Assimilation System (ATLAS) , 2014 .

[29]  D. McLaughlin,et al.  Downscaling of radio brightness measurements for soil moisture estimation: A four‐dimensional variational data assimilation approach , 2001 .

[30]  W. Wagner,et al.  Initial soil moisture retrievals from the METOP‐A Advanced Scatterometer (ASCAT) , 2007 .

[31]  M. Rodell,et al.  Assimilation of GRACE Terrestrial Water Storage Data into a Land Surface Model: Results for the Mississippi River Basin , 2008 .

[32]  Dara Entekhabi,et al.  Land surface state and flux estimation using the ensemble Kalman smoother during the Southern Great Plains 1997 field experiment , 2006 .

[33]  B. Hurk,et al.  A Revised Hydrology for the ECMWF Model: Verification from Field Site to Terrestrial Water Storage and Impact in the Integrated Forecast System , 2009 .

[34]  Wade T. Crow,et al.  Performance Metrics for Soil Moisture Retrievals and Application Requirements , 2009 .

[35]  Matthias Drusch,et al.  Observation operators for the direct assimilation of TRMM microwave imager retrieved soil moisture , 2005 .

[36]  I. Dharssi,et al.  Operational assimilation of ASCAT surface soil wetness at the Met Office , 2011 .

[37]  P. Dirmeyer Using a global soil wetness dataset to improve seasonal climate simulation , 2000 .

[38]  Rolf H. Reichle,et al.  Assimilation of passive and active microwave soil moisture retrievals , 2012 .

[39]  R. Koster,et al.  Assessment and Enhancement of MERRA Land Surface Hydrology Estimates , 2011 .

[40]  Rolf Reichle,et al.  An Integrated Hydrologic Modeling and Data Assimilation Framework , 2008, Computer.

[41]  Thomas J. Jackson,et al.  Passive Microwave Soil Moisture Downscaling Using Vegetation Index and Skin Surface Temperature , 2013 .

[42]  Jun Kong,et al.  Analysis and Semantic Querying in Large Biomedical Image Datasets , 2008, Computer.

[43]  W. Wagner,et al.  Evaluation of the ESA CCI soil moisture product using ground-based observations , 2015 .

[44]  Stéphane Bélair,et al.  A Global Root-Zone Soil Moisture Analysis Using Simulated L-band Brightness Temperature in Preparation for the Hydros Satellite Mission , 2006 .

[45]  Lars Isaksen,et al.  Initialisation of Land Surface Variables for Numerical Weather Prediction , 2014, Surveys in Geophysics.

[46]  Adrian K. Fung,et al.  Backscattering from a randomly rough dielectric surface , 1992, IEEE Trans. Geosci. Remote. Sens..

[47]  W. Wagner,et al.  Skill and Global Trend Analysis of Soil Moisture from Reanalyses and Microwave Remote Sensing , 2013 .

[48]  N. Verhoest,et al.  Correcting for forecast bias in soil moisture assimilation with the ensemble Kalman filter , 2007 .

[49]  Yann Kerr,et al.  The SMOS Mission: New Tool for Monitoring Key Elements ofthe Global Water Cycle , 2010, Proceedings of the IEEE.

[50]  Wade T. Crow,et al.  The Contributions of Precipitation and Soil Moisture Observations to the Skill of Soil Moisture Estimates in a Land Data Assimilation System , 2011 .