C039
Using NASA SnowEx Data for Algorithm Development and Modeling to Estimate Seasonal Snow and Snow Water Equivalent
Using NASA SnowEx Data for Algorithm Development and Modeling to Estimate Seasonal Snow and Snow Water Equivalent
Session ID#: 162184
Session Description:
With climate change threatening norms for seasonal snow, the NASA SnowEx campaign aims to improve global snow remote sensing and enable snow satellite mission development for determination of snow water equivalent (SWE). More accurate and timely estimates of SWE are needed to quantify global water and energy balances and improve meltwater and natural hazard forecasting. The community-led SnowEx effort is conducting multi-year, multi-sensor seasonal snow campaigns, targeting different snow classes to collect a range of coincident in situ and remotely sensed observations. The overarching objective is to enable snow satellite mission development by quantifying the SWE retrieval performance of candidate approaches through observations and modeling. We invite contributions on results and developmental milestones from collaborative efforts using the publicly available SnowEx data. We encourage submissions that compare coincident datasets, or investigate sensor capabilities and limitations across a variety of spatial and temporal scales.
Index Terms:
0736 Snow [CRYOSPHERE]
0758 Remote sensing [CRYOSPHERE]
0770 Properties [CRYOSPHERE]
0798 Modeling [CRYOSPHERE]
Primary Convener: Megan Mason, NASA Goddard Space Flight Center, Greenbelt, United States; Science Systems and Applications, Inc., Lanham, United States
Conveners: Dorothy Hall, University of Maryland, College Park, MD, United States, Carrie Vuyovich, University of New Hampshire, Hanover, United States; NASA Goddard Space Flight Center, Greenbelt, MD, United States and Hans-Peter Marshall, Boise State University, Department of Geosciences, Boise, ID, United States
See more of: Cryosphere
