Abstract Global sensitivity analysis (GSA) often is applied to assess the of model outputs their inputs using ensemble simulations. However, increasing complexity and associated computational cost have limited use most GSA approaches for process‐based watershed models. We propose mutual information (MI) as a computationally efficient method modeling. Such MI computed from several hundred realiz...

Distributed hydrological modeling has increased its popularity in the community, leading to development of multiple models with different approaches. However, rapid growth also opened a gap between models, interfaces, and advanced users. User interfaces help set up pre-process steps. Nevertheless, they limit implementation more complex experiments. This work presents Watershed Modeling Framewor...

Emissions of methane (CH4), carbon dioxide (CO2), and nitrous oxide (N2O) from a forested watershed (160 ha) in South Carolina, USA, were estimated with a spatially explicit watershed-scale modeling framework that utilizes the spatial variations in physical and biogeochemical characteristics across watersheds. The target watershed (WS80) consisting of wetland (23%) and upland (77%) was divided ...

Forest Watersheds provide timber and water, wildlife and fisheries habitat, and recreational opportunities. However, not an entire watershed is equally suited for each activity. Steeper slopes may be better left forested and used for wildlife habitat while more gentle slopes of the watershed could be used for timber production. Logging steep slopes can lead to soil erosion that can.seriously de...

Information-gap (info-gap) modeling is put forth as a basic approach for enhancing decision making under uncertainty, especially when there is a high level of uncertainty and little information is available. The great need for having realistic techniques for describing severe uncertainty can be illustrated in water resources management by pointing out the wide range of uncertainties present in ...