Using NASA SnowEx Data for Algorithm Development and Modeling to Estimate Seasonal Snow and Snow Water Equivalent

Session ID#: 123647

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 members to present 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]
0794 Instruments and techniques [CRYOSPHERE]
0798 Modeling [CRYOSPHERE]


Primary Convener:  Megan Mason, ATA Aerospace, Boise, ID, United States
Conveners:  Rhae Sung Kim1, Carrie Vuyovich1 and Hans-Peter Marshall2, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States(2)Boise State University, Department of Geosciences, Boise, ID, United States
Primary Liaison:  Megan Mason, ATA Aerospace, Boise, ID, United States
See more of: Cryosphere