Speaker Jeff Dozier
Affiliation University of California, Santa Barbara
Host Dan Fay
Date recorded 5 September 2013
The objective is to estimate seasonal snow volumes, relative to historical trends and extremes, in snow-dominated mountains that have austere infrastructure, sparse gauging, challenges of accessibility, and emerging or enduring insecurity related to water resources. The world's mountains accumulate substantial snow and, in some areas, produce the bulk of the runoff. In ranges like Afghanistan's Hindu Kush, availability of water resources affects US policy, military and humanitarian operations, and national security. The rugged terrain makes surface measurements difficult and also affects the analysis of remotely sensed data. My approach combines optical imagery, passive microwave data, and retrospective reconstruction with energy balance calculations.
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By the same speaker
Panel: Handling Big Data for the Environmental Informatics / Real-Time Environmental Observation, Modeling, and Decision Support