1a.Objectives (from AD-416)
1) Apply the modified Penn State Integrated Hydrology Modeling (PIHM) system over RCEW using all available data;. 2)Selectively reduce input data to determine the minimum input forcing data required to achieve acceptable simulation accuracy;. 3)Recommend augmentation of existing measurement facilities and models that would be required to achieve this level of simulation accuracy over the larger Great Basin region.
1b.Approach (from AD-416)
The scientist funded through this project will work with university and ARS hydrologists to integrate the NWRC snow model into the PIHM system, and implement and evaluate the modified PIHM system at the RCEW. Located at the NWRC in Boise Idaho, the scientist would work collaboratively with the WATERS team to evaluate the accuracy and reliability of PIHM simulations using complete and successively limited RCEW forcing data. The 48-year data record will allow testing over a full range of climate conditions. Documents SCA with UC Santa Barbara.
During the past year, ARS scientists at the Northwest Watershed Research Center (NWRC) in Boise, Idaho have been working to assess how climate warming is likely to impact water supplies in the western United States. They have developed and tested a new and more effective approach to simulation modeling to improve how NWRC forecasts and manages water resources in the region. The jointly funded postdoctoral researcher assisted ARS in the development of a National Science Foundation (NSF) proposal, three presentations at the Geological Science of America (GSA) meeting in Portland Oregon, and three presentations at the fall American Geophysical Union (AGU) meeting. Two peer-reviewed manuscripts were submitted to the Water Resources Research journal, and one to the Hydrological Processes journal. In March, the postdoctoral researcher took a position at Duke University as an assistant professor. Research progress and status are reported via regular project teleconferences calls, meetings and frequent emails. The agreement was established in support of Objective 3 of the in-house project, the goal being to develop improved coupling of surface and belowground models for spatial simulation of snowmelt, runoff, soil temperature and moisture, and streamflow.