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