WE PROPOSE TO INVESTIGATE THE EXTENT RESOLUTION AND ACCURACY WITH WHICH REMOTELY-SENSED SNOW DEPTH OBSERVATIONS SHOULD BE COLLECTED IN COMPLEX TOPOGRAPHY. PRECIPITATION MEASUREMENTS ARE VERY CHALLENGING TO COLLECT FOR MOUNTAINOUS REGIONS THEREFORE STRESSING THE IMPORTANCE OF REMOTELY-SENSED SNOW DEPTH OBSERVATION. WE WILL EVALUATE THE ABILITY OF COMBINATIONS OF SIMULATED SNOW DEPTH OBSERVATIONS TO CORRECT SNOW MODELS SUBJECT TO PRECIPITATION UNCERTAINTY. THESE SIMULATED DATASETS WILL VARY IN EXTENTS TEMPORAL RESOLUTION AND SPATIAL RESOLUTION REPRESENTING DIFFERENT OBSERVATIONAL METHODS. THIS PROJECT WILL INCLUDE SNOW MODELING FOR THREE NASA CAMPAIGNS MODEL ASSIMILATION WITH SIMULATED REMOTE-SENSING OBSERVATIONS AND SENSITIVITY ANALYSIS FOR VARYING COMBINATIONS OF REMOTE-SENSING DATA.

University Of Washington, Seattle WA

Investigators