Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment
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Huidong Jin | David McJannet | Luigi J. Renzullo | Jean-Michel Perraud | Brent Henderson | A. Dijk | B. Henderson | L. Renzullo | Huidong Jin | D. McJannet | Adam B. Smith | J. Perraud | A. I. J. M. van Dijk | D. Collins | Adam B Smith | D. Collins
[1] 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 .
[2] M. Mccabe,et al. Estimating Land Surface Evaporation: A Review of Methods Using Remotely Sensed Surface Temperature Data , 2008 .
[3] W. J. Shuttleworth,et al. COSMOS: the COsmic-ray Soil Moisture Observing System , 2012 .
[4] M. Zreda,et al. Footprint diameter for a cosmic‐ray soil moisture probe: Theory and Monte Carlo simulations , 2013 .
[5] Measurement, Estimation and Prediction , 2013 .
[6] M. Haylock,et al. Spatial uncertainty to determine reliable daily precipitation maps , 2012 .
[7] Y. Hong,et al. The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales , 2007 .
[8] Wade T. Crow,et al. A land surface data assimilation framework using the land information system : Description and applications , 2008 .
[9] P. Houtekamer,et al. Data Assimilation Using an Ensemble Kalman Filter Technique , 1998 .
[10] M. Ek,et al. Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water , 2011 .
[11] Tom Kompas,et al. Determinants of residential water consumption: Evidence and analysis from a 10‐country household survey , 2011 .
[12] S. Caires,et al. Validation of ocean wind and wave data using triple collocation , 2003 .
[13] C. Ancey,et al. An exact solution for ideal dam‐break floods on steep slopes , 2008 .
[14] Qiuhong Tang,et al. Estimating the water budget of major US river basins via remote sensing , 2010 .
[15] J. Famiglietti,et al. Satellite-based estimates of groundwater depletion in India , 2009, Nature.
[16] Wade T. Crow,et al. Impact of Incorrect Model Error Assumptions on the Sequential Assimilation of Remotely Sensed Surface Soil Moisture , 2006 .
[17] Geir Evensen,et al. The Ensemble Kalman Filter: theoretical formulation and practical implementation , 2003 .
[18] Jeffrey P. Walker,et al. Assimilation of multiple data types for improved heat flux prediction: A one-dimensional field study , 2013 .
[19] Edward A. King,et al. Operational Delivery of Hydro-Meteorological Monitoring and Modeling Over the Australian Continent , 2009, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[20] Dennis P. Lettenmaier,et al. Tracking Fresh Water from Space , 2003, Science.
[21] A. B. Smith,et al. The Murrumbidgee soil moisture monitoring network data set , 2012 .
[22] P. Houtekamer,et al. An Adaptive Ensemble Kalman Filter , 2000 .
[23] W. Wagner,et al. Improving runoff prediction through the assimilation of the ASCAT soil moisture product , 2010 .
[24] Luigi J. Renzullo,et al. Evaluating geostatistical methods of blending satellite and gauge data to estimate near real-time daily rainfall for Australia , 2013 .
[25] Jeffrey L. Anderson,et al. A Monte Carlo Implementation of the Nonlinear Filtering Problem to Produce Ensemble Assimilations and Forecasts , 1999 .
[26] M. R. van den Broeke,et al. Higher surface mass balance of the Greenland ice sheet revealed by high‐resolution climate modeling , 2009 .
[27] Randal D. Koster,et al. On the Nature of Soil Moisture in Land Surface Models , 2009 .
[28] Martha C. Anderson,et al. A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation , 2007 .
[29] Tim R. McVicar,et al. Climate‐related trends in Australian vegetation cover as inferred from satellite observations, 1981–2006 , 2009 .
[30] Edward J. Hyer,et al. Late summer changes in burning conditions in the boreal regions and their implications for NOx and CO emissions from boreal fires , 2008 .
[31] J. Wallace,et al. Calibration and correction procedures for cosmic‐ray neutron soil moisture probes located across Australia , 2014 .
[32] Wade T. Crow,et al. An adaptive ensemble Kalman filter for soil moisture data assimilation , 2007 .
[33] W. Crow,et al. Estimating Spatial Sampling Errors in Coarse-Scale Soil Moisture Estimates Derived from Point-Scale Observations , 2010 .
[34] Christian D. Kummerow,et al. Global Precipitation Measurement , 2008 .
[35] Adrian Barbu,et al. Assimilation of surface soil moisture into a multilayer soil model: design and evaluation at local scale , 2013 .
[36] J. Janowiak,et al. CMORPH: A Method that Produces Global Precipitation Estimates from Passive Microwave and Infrared Data at High Spatial and Temporal Resolution , 2004 .
[37] Yi Y. Liu,et al. Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals , 2011 .
[38] Rafael Rosolem,et al. Measurement depth of the cosmic ray soil moisture probe affected by hydrogen from various sources , 2012 .
[39] R. Jeu,et al. Multisensor historical climatology of satellite‐derived global land surface moisture , 2008 .
[40] G. O. Essink,et al. Effects of climate change on coastal groundwater systems: A modeling study in the Netherlands , 2010 .
[41] D. Jones,et al. High-quality spatial climate data-sets for Australia , 2009 .
[42] W. Wagner,et al. A Method for Estimating Soil Moisture from ERS Scatterometer and Soil Data , 1999 .
[43] M. Rodell,et al. Use of Gravity Recovery and Climate Experiment terrestrial water storage retrievals to evaluate model estimates by the Australian water resources assessment system , 2011 .
[44] Matthew F. McCabe,et al. Hydrological consistency using multi-sensor remote sensing data for water and energy cycle studies , 2008 .
[45] T. Ferré,et al. Field Validation of a Cosmic‐Ray Neutron Sensor Using a Distributed Sensor Network , 2012 .
[46] Klaus Scipal,et al. Structural and statistical properties of the collocation technique for error characterization , 2012 .
[47] I. Dharssi,et al. Operational assimilation of ASCAT surface soil wetness at the Met Office , 2011 .
[48] Wolfgang Wagner,et al. Inter-comparison of microwave satellite soil moisture retrievals over the Murrumbidgee Basin, southeast Australia , 2013 .
[49] Thomas J. Jackson,et al. Soil moisture retrieval from AMSR-E , 2003, IEEE Trans. Geosci. Remote. Sens..
[50] Rolf H. Reichle,et al. Assimilation of passive and active microwave soil moisture retrievals , 2012 .
[51] Klaus Scipal,et al. A possible solution for the problem of estimating the error structure of global soil moisture data sets , 2008 .
[52] J. Famiglietti,et al. Estimating groundwater storage changes in the Mississippi River basin (USA) using GRACE , 2007 .
[53] Charles Sayward,et al. A Possible Solution , 1996 .
[54] M. Mccabe,et al. Closing the terrestrial water budget from satellite remote sensing , 2009 .
[55] W. Crow,et al. 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 , 2003 .
[56] D. McLaughlin,et al. Hydrologic Data Assimilation with the Ensemble Kalman Filter , 2002 .
[57] Yi Y. Liu,et al. Error characterisation of global active and passive microwave soil moisture datasets. , 2010 .
[58] P. Berry,et al. Global inland water monitoring from multi‐mission altimetry , 2005 .
[59] Wade T. Crow,et al. An improved approach for estimating observation and model error parameters in soil moisture data assimilation , 2010 .
[60] Ray Leuning,et al. Scaling of potential evapotranspiration with MODIS data reproduces flux observations and catchment water balance observations across Australia , 2009 .
[61] Peter R. Oke,et al. Ensemble member generation for sequential data assimilation , 2008 .
[62] Jeffrey P. Walker,et al. Assimilation of remotely sensed data for improved latent and sensible heat flux prediction: A comparative synthetic study , 2008 .
[63] Keith Beven,et al. Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology , 2001 .
[64] Jeffrey P. Walker,et al. Hydrologic Data Assimilation , 2012 .
[65] Luigi J. Renzullo,et al. Water resource monitoring systems and the role of satellite observations , 2011 .
[66] D. Collins,et al. A balancing act in heterogeneous computing - Developing the AWRA-Landscape data assimilation system , 2013 .
[67] Randal D. Koster,et al. Global assimilation of satellite surface soil moisture retrievals into the NASA Catchment land surface model , 2005 .
[68] G. Senay,et al. A multi-source satellite data approach for modelling Lake Turkana water level: calibration and validation using satellite altimetry data , 2012 .
[69] Peter G. Fairweather,et al. CSIRO : water for a healthy country national research flagship , 2008 .
[70] Wade T. Crow,et al. Role of Subsurface Physics in the Assimilation of Surface Soil Moisture Observations , 2009 .
[71] Maosheng Zhao,et al. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data , 2007 .
[72] A. Sahoo,et al. Multisource estimation of long-term terrestrial water budget for major global river basins , 2012 .
[73] Rafael Rosolem,et al. The COsmic-ray Soil Moisture Interaction Code (COSMIC) for use in data assimilation , 2013 .
[74] Randal D. Koster,et al. Bias reduction in short records of satellite soil moisture , 2004 .
[75] Wolfgang Wagner,et al. Assimilation of ASCAT near-surface soil moisture into the SIM hydrological model over France , 2011 .
[76] Thomas R. H. Holmes,et al. An evaluation of AMSR–E derived soil moisture over Australia , 2009 .