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  1. 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...

  2. 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...

  3. Hydrologic Remote Sensing and Land Surface Data Assimilation

    Accurate, reliable and skillful forecasting of key environmental variables such as soil moisture and snow are of paramount importance due to their strong influence on many water resources applications including...

  4. Evolution of ensemble data assimilation for uncertainty quantification using the particle filter-Markov chain Monte Carlo...

    Particle filters (PFs) have become popular for assimilation of a wide range of hydrologic variables in recent years. With this increased use, it has become necessary to increase the applicability of this...

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