HPCCprojects:Improving Representations of Snow-Vegetation Interactions
From CSDMS
Improving Representations of Snow-Vegetation Interactions
Project description
Applying LiDAR-derived vegetation datasets to verify and improve snow-vegetation interactions in land surface models
Objectives
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.
Time-line
Initial model runs Winter 2014. Advanced model runs Spring and Summer 2015.
Models in use
Noah-MP
Results
None yet
Users
List the CSDMS HPCC users of your project:
- <aharpold>
Funding
NSF EAR Postdoctoral Fellow (EAR#1144894)
Publications and presentations
None yet
Links
Links coming
Research project