Assimilation of Spatially Sparse In Situ Soil Moisture Networks into a Continuous Model Domain

[1]  Dongryeol Ryu,et al.  Correcting Unintended Perturbation Biases in Hydrologic Data Assimilation , 2009 .

[2]  W. Crow,et al.  Estimating Spatial Sampling Errors in Coarse-Scale Soil Moisture Estimates Derived from Point-Scale Observations , 2010 .

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

[4]  Wouter Dorigo,et al.  Estimation of the temporal autocorrelation structure by the collocation technique with an emphasis on soil moisture studies , 2013 .

[5]  Wade T. Crow,et al.  Benchmarking a Soil Moisture Data Assimilation System for Agricultural Drought Monitoring , 2014 .

[6]  Wade T. Crow,et al.  Recent advances in (soil moisture) triple collocation analysis , 2016, Int. J. Appl. Earth Obs. Geoinformation.

[7]  Wade T. Crow,et al.  On the utility of land surface models for agricultural drought monitoring , 2012 .

[8]  Gabrielle J. M. De Lannoy,et al.  SMAP Level 4 Surface and Root Zone Soil Moisture , 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

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

[10]  R. Koster,et al.  First Results from the SMAP Level 4 Surface and Root Zone Soil Moisture (L4_SM) Data Product , 2016 .

[11]  Matthias Drusch,et al.  Global Automated Quality Control of In Situ Soil Moisture Data from the International Soil Moisture Network , 2013 .

[12]  A. Robock,et al.  A New International Network for in Situ Soil Moisture Data , 2011 .

[13]  Wade T. Crow,et al.  Application of Triple Collocation in Ground-Based Validation of Soil Moisture Active/Passive (SMAP) Level 2 Data Products , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[14]  A. Stoffelen.  Toward the true near-surface wind speed: Error modeling and calibration using triple collocation , 1998 .

[15]  Wolfgang Wagner,et al.  Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[16]  Yi Y. Liu,et al.  Error characterisation of global active and passive microwave soil moisture datasets. , 2010 .

[17]  Y. Kerr,et al.  Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations , 2012 .

[18]  Xin Li,et al.  Spatial horizontal correlation characteristics in the land data assimilation of soil moisture , 2012 .

[19]  John Kochendorfer,et al.  U.S. Climate Reference Network Soil Moisture and Temperature Observations , 2013 .

[20]  Jeffrey P. Walker,et al.  Upscaling sparse ground‐based soil moisture observations for the validation of coarse‐resolution satellite soil moisture products , 2012 .

[21]  Wade T. Crow,et al.  An improved approach for estimating observation and model error parameters in soil moisture data assimilation , 2010 .

[22]  Klaus Scipal,et al.  An Improved Soil Moisture Retrieval Algorithm for ERS and METOP Scatterometer Observations , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[23]  Wade T. Crow,et al.  Improved prediction of quasi‐global vegetation conditions using remotely‐sensed surface soil moisture , 2012 .

[24]  G. Huffman,et al.  The TRMM Multi-Satellite Precipitation Analysis (TMPA) , 2010 .

[25]  Wade T. Crow,et al.  The Optimality of Potential Rescaling Approaches in Land Data Assimilation , 2013 .

[26]  Klaus Scipal,et al.  Structural and statistical properties of the collocation technique for error characterization , 2012 .

[27]  Wade T. Crow,et al.  The potential of 2D Kalman filtering for soil moisture data assimilation , 2015 .

[28]  Wolfgang Wagner,et al.  Estimating root mean square errors in remotely sensed soil moisture over continental scale domains , 2013 .

[29]  W. Wagner,et al.  A Method for Estimating Soil Moisture from ERS Scatterometer and Soil Data , 1999 .

[30]  Sang-Eun Park,et al.  ASCAT Surface State Flag (SSF): Extracting Information on Surface Freeze/Thaw Conditions From Backscatter Data Using an Empirical Threshold-Analysis Algorithm , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[31]  A. Robock,et al.  The International Soil Moisture Network: a data hosting facility for global in situ soil moisture measurements , 2011 .

[32]  Wouter Dorigo,et al.  Characterizing Coarse‐Scale Representativeness of in situ Soil Moisture Measurements from the International Soil Moisture Network , 2013 .

[33]  Robert Leconte,et al.  Efficient stochastic generation of multi-site synthetic precipitation data , 2007 .