A first overview of SnowEx ground-based remote sensing activities during the winter 2016–2017

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A land surface data assimilation framework using the land information system: Description and applications

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A remote sensing observatory for hydrologic sciences: A genesis for scaling to continental hydrology

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A study of land surface processes using land surface models over the Little River Experimental Watershed, Georgia

scientific article

Adaptive Soil Moisture Profile Filtering for Horizontal Information Propagation in the Independent Column-Based CLM2.0

An Integrated Hydrologic Modeling and Data Assimilation Framework

Analysis of Multiple Precipitation Products and Preliminary Assessment of Their Impact on Global Land Data Assimilation System Land Surface States

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Assessment of model uncertainty for soil moisture through ensemble verification

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Assimilation and downscaling of satellite observed soil moisture over the Little River Experimental Watershed in Georgia, USA

Assimilation of small scale soil moisture in a land surface model

Capturing agricultural soil freeze/thaw state through remote sensing and ground observations: A soil freeze/thaw validation campaign

scholarly article by Tracy L. Rowlandson et al published June 2018 in Remote Sensing of Environment

Correcting for forecast bias in soil moisture assimilation with the ensemble Kalman filter

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Developing and Demonstrating Climate Indicators for Monitoring the Changing Water Cycle

Dual state–parameter estimation of hydrological models using ensemble Kalman filter

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Evaluation of AMSR-E soil moisture results using the in-situ data over the Little River Experimental Watershed, Georgia

scientific article published in 2008

Evaluation of model-derived and remotely sensed precipitation products for continental South America

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Evaporation from a riparian system in a semi-arid environment

Extended versus Ensemble Kalman Filtering for Land Data Assimilation

article by Rolf H. Reichle et al published December 2002 in Journal of Hydrometeorology

Hyper-resolution global hydrological modelling: what is next?

scientific article published on 12 December 2014

Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water

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Impact of different initial soil moisture fields on Eta model weather forecasts for South America

scientific article published in 2006

Impacts of snow cover fraction data assimilation on modeled energy and moisture budgets

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Integration of soil moisture remote sensing and hydrologic modeling using data assimilation

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Investigation of the 2006 drought and 2007 flood extremes at the Southern Great Plains through an integrative analysis of observations

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Multiobjective calibration and sensitivity of a distributed land surface water and energy balance model

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Multiscale assimilation of Advanced Microwave Scanning Radiometer-EOS snow water equivalent and Moderate Resolution Imaging Spectroradiometer snow cover fraction observations in northern Colorado

Observed and simulated water and energy budget components at SCAN sites in the lower Mississippi Basin

Reply to comment by Keith J. Beven and Hannah L. Cloke on “Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water”

Satellite-Scale Snow Water Equivalent Assimilation into a High-Resolution Land Surface Model

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Spatial and temporal characteristics of soil moisture in an intensively monitored agricultural field (OPE3)

Spatiotemporal impacts of COVID-19 on air pollution in California, USA

scientific article published on 10 August 2020

State and bias estimation for soil moisture profiles by an ensemble Kalman filter: Effect of assimilation depth and frequency

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Terrestrial water and energy systems for water resource applications

The Common Land Model

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The Impact of Snow Model Complexity at Three CLPX Sites

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The South American Land Data Assimilation System (SALDAS) 5-Yr Retrospective Atmospheric Forcing Datasets

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Toward a South America Land Data Assimilation System: Aspects of land surface model spin-up using the Simplified Simple Biosphere

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Upscaling of point soil moisture measurements to field averages at the OPE3 test site