[1] Potential climate change effects on aspects of conjunctive management of water resources can be evaluated by linking climate models with fully integrated groundwater– surface water models. The objective of this study is to develop a modeling system that links global climate models with regional hydrologic models, using the California Central Valley as a case study. The new method is a suppl...

Climate change is likely to affect the generation of energy from California’s high-elevation hydropower systems. To investigate these impacts, this study formulates a linear programming model of an 11-reservoir hydroelectric system operated by the Sacramento Municipal Utility District in the Upper American River basin. Four sets of hydrologic scenarios are developed using the Variable Infiltrat...

[1] Soil erosion models are usually limited in their application to the field scale; however, the management of land resources requires information at the regional scale. Large‐scale physically based land surface schemes (LSS) provide estimates of regional scale hydrologic processes that contribute to erosion. If scaling issues are adequately addressed, coupling an LSS to a physically based ero...

This communication introduces HLM-Tetis, which is a model structure coupled to the Hillslope Link Model (HLM) framework developed by Iowa Flood Center. The was designed improve some limitations of previous HLM structures. following changes have been made: (1) modules simulate snow processes; (2) better flexibility infiltration and percolation; (3) more derive total runoff from partitioning over...

Hydrologic analyses are commonly based on a single conceptual model. Yet hydrologic environments are open and complex, rendering them prone to multiple interpretations and conceptualizations. Considering conceptual model uncertainty is a critical process for the assessment of hydrologic uncertainty. This study assesses recharge and geologic model uncertainty for the Climax Mine area of the Neva...