A python framework for environmental model uncertainty analysis
We have developed pyEMU, a python framework for Environmental Modeling Uncertainty
analyses, open-source tool that is non-intrusive, easy-to-use, computationally efficient, and …
analyses, open-source tool that is non-intrusive, easy-to-use, computationally efficient, and …
The impact of meteorological forcing uncertainty on hydrological modeling: A global analysis of cryosphere basins
Meteorological forcing is a major source of uncertainty in hydrological modeling. The recent
development of probabilistic large‐domain meteorological data sets enables convenient …
development of probabilistic large‐domain meteorological data sets enables convenient …
Assessment of hydro-climatic trends and causes of dramatically declining stream flow to Lake Chad, Africa, using a hydrological approach
R Mahmood, S Jia - Science of the Total Environment, 2019 - Elsevier
Abstract In the 1960s, Lake Chad (LC) was one of the largest inland water body on the earth
and since then, it has extremely shrunk from a surface area of 25,000 km 2 to 2000 km 2 …
and since then, it has extremely shrunk from a surface area of 25,000 km 2 to 2000 km 2 …
[HTML][HTML] Evaluation of gridded precipitation data for hydrologic modeling in North-Central Texas
Over the past few decades, several high-resolution gridded precipitation products have
been developed using multiple data sources and techniques, including measured …
been developed using multiple data sources and techniques, including measured …
A Bayesian-based multilevel factorial analysis method for analyzing parameter uncertainty of hydrological model
In this study, a Bayesian-based multilevel factorial analysis (BMFA) method is developed to
assess parameter uncertainties and their effects on hydrological model responses. In BMFA …
assess parameter uncertainties and their effects on hydrological model responses. In BMFA …
Sensitivity analysis and uncertainty assessment in water budgets simulated by the variable infiltration capacity model for Canadian subarctic watersheds
In this study, we evaluate uncertainties propagated through different climate data sets in
seasonal and annual hydrological simulations over 10 subarctic watersheds of northern …
seasonal and annual hydrological simulations over 10 subarctic watersheds of northern …
Estimation of the uncertainty of hydrologic predictions in a karstic Mediterranean watershed
Abstract The Koiliaris River basin is a semi-arid Mediterranean karstic watershed where
water needs during the summer are exclusively covered by the karstic springs flow …
water needs during the summer are exclusively covered by the karstic springs flow …
[HTML][HTML] Comparison of artificial neural networks and reservoir models for simulating karst spring discharge on five test sites in the Alpine and Mediterranean regions
Hydrological models are widely used to characterise, understand and manage
hydrosystems. Data-driven models are of particular interest in karst environments given the …
hydrosystems. Data-driven models are of particular interest in karst environments given the …
Comparison of GLUE and DREAM for the estimation of cultivar parameters in the APSIM-maize model
Process-based crop models are popular scientific tools to study the impacts of
environmental conditions and management decisions on crop growth. Some cultivar …
environmental conditions and management decisions on crop growth. Some cultivar …
[HTML][HTML] A Comprehensive Approach to Develop a Hydrological Model for the Simulation of All the Important Hydrological Components: The Case of the Three-River …
R Mahmood, S Jia - Water, 2022 - mdpi.com
The objective of the study was to configure the Hydrological Modeling System (HEC-HMS) in
such a way that it could simulate all-important hydrological components (eg, streamflow, soil …
such a way that it could simulate all-important hydrological components (eg, streamflow, soil …