Extended Abstract (1.1M)2A.8
A Land Surface Modeling System for Use in Agricultural Decision Support
William Myers, NCAR, Boulder, CO; and F. Chen and S. Linden
Agricultural decisions are increasingly becoming augmented by decision support systems that incorporate soil and weather forecast-driven agriculture-specific models. NCAR has developed such a system. It combines weather forecast data from the NCAR DICast™ system with the Land-Surface Modeling system called the High-Resolution Land Data Assimilation System (HRLDAS) to produce high resolution soil temperature and moisture forecasts. These forecasts can be incorporated directly within a decision support system or used as input to pest or other agricultural models. Efforts are ongoing to develop effective graphics and/or tables to communicate the import of the model output. This is critical to acceptance in the user community.
Session 2A, Agricultural Management Strategies and Implications for Climate Change I
Monday, 2 August 2010, 3:30 PM-5:45 PM, Red Cloud Peak
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