HPCCprojects:Improving Representations of Snow-Vegetation Interactions
Improving Representations of Snow-Vegetation Interactions
Applying LiDAR-derived vegetation datasets to verify and improve snow-vegetation interactions in land surface models
1. Run Noah-MP using LiDAR-derived vegetation information from four sites in the Western U.S. 2. Investigate how resolution of vegetation information effects water and energy fluxes during winter.
Initial model runs Winter 2014. Advanced model runs Spring and Summer 2015.
Models in use
List the CSDMS HPCC users of your project:
NSF EAR Postdoctoral Fellow (EAR#1144894)
Publications and presentations