Integrated watershed-scale response to climate change for selected basins across the United States

Abstract

The standard unit for transmissivity is cubic foot per day per square foot times foot of aquifer thickness [(ft 3 /d)/ft 2 ]ft. In this report, the mathematically reduced form, foot squared per day (ft 2 /d), is used for convenience.

Modeling surface water-groundwater interaction in arid and semi-arid regions with intensive agriculture

“…GSFLOW provides two options for computing potential ET (PET): Hamon formulation and Jensen-Haise formulation. These two empirical methods can be easily applied in data-limited cases, but have many limitations (Adeboye et al, 2009;Markstrom, 2012). To improve the ET calculation, we coded the FAO Penman-Monteith (FAO-PM) method (Allen et al, 1998) in GSFLOW-SWMM as an additional option.…”

“…For example, GSFLOW integrates Precipitation Runoff Modeling System (PRMS) (Leavesley et al, 1983) with MODFLOW; SWATMOD couples the widely applied Soil Water Assessment Tool (SWAT) (Arnold et al, 1998) model with MOD-FLOW; and MODHMS introduces 2-D diffusion wave routing for surface water into MODFLOW. The existing models have been applied to address different water resources issues, including irrigation management (e.g., P erez et al, 2011), SW-GW interactions (e.g., Huntington and Niswonger, 2012;Niswonger et al, 2008;Werner et al, 2006), land use and climate change (e.g., Graham and Butts, 2005;Markstrom, 2012), water quality (e.g., Borah and Bera, 2003) and so on.…”

Predicting alpine headwater stream intermittency: a case study in the northern Rocky Mountains

“…Numerous climate models have predicted increasing temperature and decreasing snowpack in the Pacific Northwest (Hamlet and Lettenmaier, 1999;Mote and Salathe, 2010;Markstrom et al, 2011). Chase (2011) developed a watershed model (Precipitation Runoff Modeling System) using output from five General Circulation Models and four emissions scenarios for a study area located immediately northeast of the Clark Fork River Basin.…”

Towards simplification of hydrologic modeling: identification of dominant processes

“…For example, parameters related to distribution of temperature and solar radiation may show correlation with each other when evaluated with respect to simulation of evapotranspiration, despite these parameters not being explicit terms in the evapotranspiration equations. Past studies indicate that PRMS has been very useful in waterresource and research studies across the CONUS Boyle et al, 2006;Hay et al, 2011;Markstrom et al, 2012) and is capable of matching measured data (Bower, 1985;Cary, 1991;Dudley, 2008;Koczot et al, 2011) in a variety of geophysical and climatological settings.…”