Location: Watershed Management Research2011 Annual Report
1a. Objectives (from AD-416)
1. Evaluate how snow deposition, energy balance and melt rates vary with site conditions such as elevation, topographic structure and vegetation cover. 2. Use high resolution remote sensing of terrain and vegetation structure to improve characterization of landscape features and condition. 3. Continure testing, evaluation, validation and improvement of meterologic, hydrologic and snoe models. 4. develop a modeling strategy for extending point and catchment-scale results to larger areas and regions.
1b. Approach (from AD-416)
This project will involve collaboration between ARS and University of Idaho scientists to: a. extend the surface energy balance and flux measurement efforts to evaluate growing season conditions; b. continue software testing and development for meteorological, hydrologic and snow modleing; and c. analysis of recently acquired OWLX LiDAR data, including development of specific products, and modification of simulation model structures. Documents SCA with U of ID.
3. Progress Report
The completion of the assessment of sophisticated methods for measuring the loss of water to evaporation resulted in the submission of three papers, two of which have been published, one accepted. ARS scientists at the Northwest Watershed Research Center (NWRC) in Boise, Idaho are working with University of Idaho cooperators on how to use Light Detection and Ranging (LiDAR) data to produce an improved Digital Elevation Model (DEM) representation, which resulted in a publication. Software engineering provided by the cooperator (University of Idaho) produced an updated version of the ARS snow and climate modeling software that has now been extensively tested on Sun Solaris, Mac OS-X and Linux, with the release of the IPW, Version 2.1 software. Project progress and status are reported through frequent email, regular project teleconference calls and quarterly meetings with university cooperators. This agreement was established in support of Objective 3 of the in-house project, the goal being to develop improved coupling of surface and below ground models for spatial simulation of snowmelt, runoff, soil temperature and moisture, and streamflow.