C13D:
Remote Sensing of the Cryosphere: ASO, Water Cycle Science, and High-Resolution Retrievals II Posters

Submit an Abstract to this Session



Session ID#: 29435

Session Description:
Recent drought and flood conditions in the western US have indicated the need for new approaches to modeling and measuring the seasonal snow cover. Airborne remote sensing can provide measurements of the cryosphere at spatial, temporal, and/or spectral resolutions than can resolve hydrologically relevant alpine snow. These types of data are not currently available from spaceborne platforms. Recent airborne science campaigns, such as ASO, have greatly increased the availability of cryospheric remote sensing data, and are pointing the way to future space missions and operational capacities. This session will focus on remote sensing of the cryosphere from both all platforms. Presentations will include the latest findings over a range of topics including instrument and platform development, analysis methods and techniques, and combining remote sensing retrievals with models to enhance scientific and operational applications. We welcome submissions from a diversity of sensor types and measurement methods and cryospheric applications.
Primary Convener:  Danny G Marks, USDA-ARS, Northwest Watershed Research Center, Boise, ID, United States
Conveners:  McKenzie Skiles, University of Utah, Geography, Salt Lake City, UT, United States, Thomas H Painter, NASA Jet Propulsion Laboratory, Pasadena, CA, United States and Hans-Peter Marshall, Boise State University, Boise, ID, United States
Chairs:  McKenzie Skiles, University of Utah, Geography, Salt Lake City, UT, United States and Thomas H Painter, Jet Propulsion Laboratory, Pasadena, CA, United States
OSPA Liaison:  McKenzie Skiles, University of Utah, Geography, Salt Lake City, UT, United States
Index Terms:

0736 Snow [CRYOSPHERE]
0740 Snowmelt [CRYOSPHERE]
0798 Modeling [CRYOSPHERE]

Abstracts Submitted to this Session:

NASA Airborne Snow Observatory: Measuring Spatial Distribution of Snow Water Equivalent and Snow Albedo (281661)
Michael Joyce1, Thomas H Painter1, Kathryn J Bormann2, Daniel F Berisford3, Judy Lai-Norling1 and ASO Compute and Flight Teams, (1)Jet Propulsion Laboratory, Pasadena, CA, United States, (2)JPL/NASA/Caltech, Pasadena, CA, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Flying Fast and High: Operational Flight Planning for Maximum Data Return for Airborne Snow Observatory Mountain Surveys (260207)
Daniel F Berisford1, Thomas H Painter2, Megan Richardson2, Alex Wallach2, Jeffrey S Deems3 and Kathryn J Bormann4, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (2)Jet Propulsion Laboratory, Pasadena, CA, United States, (3)National Snow and Ice Data Center, Boulder, CO, United States, (4)JPL/NASA/Caltech, Pasadena, CA, United States
Using high resolution Lidar data from SnowEx to characterize the sensitivity of snow depth retrievals to point-cloud density and vegetation (280577)
Victoria M Patterson1, Kat J Bormann2, Jeffrey S Deems3 and Thomas H Painter1, (1)Jet Propulsion Laboratory, Pasadena, CA, United States, (2)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (3)National Snow and Ice Data Center, Boulder, CO, United States
High-resolution LIDAR and ground observations of snow cover in a complex forested terrain in the Sierra Nevada – implications for optical remote sensing of seasonal snow. (233080)
Tihomir S Kostadinov, Desert Research Institute, Division of Hydrologic Sciences, Reno, NV, United States, Adrian Harpold, University of Nevada Reno, Department of Natural Resources and Environmental Science, Reno, NV, United States, Ryley Hill, University of Nevada Reno, Department of Geological Sciences and Engineering, Reno, NV, United States and Kenneth McGwire, Desert Research Institute Reno, Division of Earth and Ecosystem Sciences, Reno, United States
Estimating changing snow water resources over the Himalaya from remote sensing at the weekly scale (246199)
Chelsea Ackroyd, University of Utah, School of Environment, Society, and Sustainability, Salt Lake City, UT, United States and McKenzie Skiles, University of Utah, Geography, Salt Lake City, UT, United States
Improving snow fraction spatio-temporal continuity using a combination of MODIS and Fengyun-2 satellites over China (288543)
Lingmei Jiang and Gongxue Wang, Beijing Normal University, Beijing, China
A one stop website for sharing sea ice, ocean and ice sheet data over the polar regions (273181)
Zhuoqi Chen1, Xiao Cheng1, Jiping Liu2, Fengming Hui1 and Yifan Ding1, (1)Beijing Normal University, College of Global Change and Earth System Science, Beijing, China, (2)University at Albany, State University of New York, Albany, United States

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