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  1. Ensemble Prediction and Data Assimilation for Operational Hydrology

    This special section in the Journal of Hydrology will discuss the need for advancing hydrologic ensemble prediction and DA.

  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. Daily Discharge Forecasting Using Least Square Support Vector Regression and Regression Tree

    Prediction of river flow is one of the main issues in the field of water resources management. Because of the complexity of the rainfall-runoff process, data-driven methods have gained increased importance. In...

  4. Hydrologic Modeling in Dynamic Catchments: A Data Assimilation Approach

    The transferability of conceptual hydrologic models in time is often limited by both their structural deficiencies and adopted parameterizations. Adopting a stationary set of model parameters ignores biases...

  5. Spatial, Temporal and Frequency Based Climate change Assessment in Columbia River Basin Using Multi Downscaled-Scenarios

    Uncertainties in climate modelling are well documented in literature. Global Climate Models (GCMs) are often used to downscale the climatic parameters on a regional scale. In the present work, we have analyzed...

  6. 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...

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