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Development
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Author
Moradkhani, Hamid
Remove constraint Author: Moradkhani, Hamid
Subject
Civil and Environmental Engineering
Remove constraint Subject: Civil and Environmental Engineering
Database
PDX Scholar
Remove constraint Database: PDX Scholar
1 - 10 of 10
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1. [Article] Improving Robustness of Hydrologic Parameter Estimation by the Use of Moving Block Bootstrap Resampling
Modeling of natural systems typically involves conceptualization and parameterization to simplify the representations of the underlying process. Objective methods for estimation of the model parameters ...Citation -
2. [Article] Toward Reduction of Model Uncertainty: Integration of Bayesian Model Averaging and Data Assimilation
Multimodeling in hydrologic forecasting has proved to improve upon the systematic bias and general limitations of a single model. This is typically done by establishing a new model as a linear combination ...Citation -
3. [Article] 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 ...Citation -
The aim of this paper is to foster the development of an end-to-end uncertainty analysis framework that can quantify satellite-based precipitation estimation error characteristics and to assess the influence ...
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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 ...
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6. [Article] Time Varying Parameter Models for Catchments with Land Use Change: the Importance of Model Structure
Rapid population and economic growth in South-East-Asia has been accompanied by extensive land use change with consequent impacts on catchment hydrology. Modelling methodologies capable of handling changing ...Citation -
7. [Article] 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. ...Citation -
8. [Article] 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 ...Citation -
Bayesian Model Averaging (BMA) is a popular approach to combine hydrologic forecasts from individual models, and characterize the uncertainty induced by model structure. In the original form of BMA, the ...
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10. [Article] Statistical Comparisons of Watershed-Scale Response to Climate Change in Selected Basins across the United States
In an earlier global climate-change study, air temperature and precipitation data for the entire twenty-first century simulated from five general circulation models were used as input to precalibrated ...Citation