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  1. Improving Soil Moisture Profile Prediction With the Particle Filter-Markov Chain Monte Carlo Method

    Satellite soil moisture estimates have received increasing attention over the past decade. This paper examines the applicability of estimating soil moisture states and soil hydraulic parameters through two...

  2. Combined Assimilation of Streamflow and Satellite Soil Moisture with the Particle Filter and Geostatistical Modeling

    Assimilation of satellite soil moisture and streamflow data into a distributed hydrologic model has received increasing attention over the past few years. This study provides a detailed analysis of the joint...

  3. Remote Sensing of Drought: Vegetation, Soil Moisture, and Data Assimilation

    Application of remote sensing is emerging for operational drought monitoring and early warning as it offers opportunities for assessing drought from different perspectives. This chapter provides an overview of...

  4. From Drought Monitoring to Forecasting: a Combined Dynamical-Statistical Modeling Framework

    Drought is the most costly hazard among all natural disasters. Despite the significant improvements in drought modeling over the last decade, accurate provisions of drought conditions in a timely manner is...