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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. Detecting Non-Stationary Hydrologic Model Parameters in a Paired Catchment

    Non-stationarity represents one of the major challenges facing hydrologists. There exists a need to develop modelling systems that are capable of accounting for potential catchment changes, in order to provide...