C13D:
Advancements in Measurement of Snow Water Equivalent Using Coincident Ground and Airborne Data Posters


Submit an Abstract to this Session


Session ID#: 45865

Session Description:
Accurate measurement of snow-water equivalent (SWE) enables improved management of freshwater resources and enhances our understanding of the Earth’s weather and climate. However reliable satellite-based remote sensing of SWE remains elusive. In order to improve techniques for accurately sensing SWE across the globe, several coincident ground and airborne snow measurement campaigns have taken place recently in many different countries (a non-exhaustive list includes SnowEx, CLPX, NoSREx, AlpSAR, TVCEx). All had a common goal of improving SWE measurement using a multi-sensor approach combined with modeling. Consequently, the conveners solicit papers on results and lessons learned from past measurement campaigns, and potential synergies required to improve campaigns planned in the near future. In addition, papers that use any combination of modelling, remote sensing and in-situ studies with a focus for improved measurement and/or modelling of SWE and snow energy balance are strongly encouraged.
Primary Convener:  Dorothy K Hall, University of Maryland, Earth System Science Interdisciplinary Center, College PARK, MD, United States
Conveners:  Nick Rutter, Northumbria University, Newcastle-Upon-Tyne, United Kingdom and Jessica D Lundquist, University of Washington, Civil and Environmental Engineering, Seattle, WA, United States
Primary Liaison:  Dorothy K Hall, University of Maryland, Earth System Science Interdisciplinary Center, College PARK, MD, United States
Chairs:  Nick Rutter, Northumbria University, Newcastle-Upon-Tyne, United Kingdom and Jessica D Lundquist, University of Washington, Civil and Environmental Engineering, Seattle, WA, United States
OSPA Liaison:  Dorothy K Hall, NASA Goddard Space Flight Center, Cryospheric Sciences Laboratory, Greenbelt, MD, United States

Cross-Listed:
  • H - Hydrology
Index Terms:

0736 Snow [CRYOSPHERE]
0758 Remote sensing [CRYOSPHERE]
0794 Instruments and techniques [CRYOSPHERE]
0798 Modeling [CRYOSPHERE]

Abstracts Submitted to this Session:

An Assessment of Airborne SnowSAR Data from SnowEx 2017 (461417)
Edward J Kim, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Jiyue Zhu, University of Michigan Ann Arbor, Ann Arbor, MI, United States, Shurun Tan, Zhejiang University, Zhejiang University/University of Illinois at Urbana-Champaign Institute, Haining, China, Leung Tsang, University of Michigan, Department of Electrical Engineering and Computer Science, Ann Arbor, United States, Do-Hyuk DK Kang, Earth System Science Interdisciplinary Center, College PARK, United States; NASA Goddard Space Flight Center, Greenbelt, United States and Alex Coccia Sr, MetaSensing, Noordwijk, Netherlands
The WBSCAT Polarimetric Synthetic Aperture Scatterometer for Retrieval of In-Situ Time-Series of Snow Structure (409895)
Charles L Werner1, Othmar Frey2, Urs Wegmüller1, Andreas Wiesmann1 and Martin Suess3, (1)Gamma Remote Sensing, Guemligen, Switzerland, (2)Gamma Remote Sensing AG, Gümligen, Switzerland, (3)European Space Research and Technology Centre, Noordwijk Zh, Netherlands
SWESARR: Snow Water Equivalent Radar and Radiometer (356474)
Batuhan Osmanoglu1, Rafael F Rincon2, Quenton Bonds2, Paul Racette2, Ludovic Brucker3 and Martin L Perrine1, (1)NASA Goddard Space Flight Center, Greenbelt, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)NASA GSFC / GESTAR USRA, Cryospheric Sciences Lab., Greenbelt, MD, United States
Comparison of Snow Variability and Distribution from In-situ Observations and Remote Sensing: towards optimal sampling strategies for snow hydrology (447918)
Megan Mason, Boise State University, Boise, ID, United States and Hans-Peter Marshall, Boise State University, Department of Geosciences, Boise, ID, United States
Characterization of Differences in Snow Grain Evolution in Forested and Open Environments on Grand Mesa, Colorado (393741)
Sydney Weiss, Oregon State University, Corvallis, OR, United States, Anne W. Nolin, University of Nevada Reno, Reno, OR, United States and Glen E Liston, Colorado State University, Cooperative Institute for Research in the Atmosphere (CIRA), Fort Collins, United States
Characterizing Snow Water Equivalent uncertainty in vegetated regions for the Airborne Snow Observatory (456596)
Victoria M Patterson1, Kathryn J Bormann2, Jeffery Deems3 and Thomas H Painter1, (1)Jet Propulsion Laboratory, Pasadena, CA, United States, (2)JPL/NASA/Caltech, Pasadena, CA, United States, (3)Airborne Snow Observatories Inc., Boulder, CO, United States
Comparison of Passive Microwave Satellite Methods for Detection of Mid-Latitude Wet Snow Conditions (391945)
Adam George Hunsaker, University of New Hampshire Main Campus, Durham, United States, Jennifer M Jacobs, University of New Hampshire, Institute for the Study of Earth, Oceans, and Space; Civil and Environmental Engineering, Durham, United States and Ronny Schroeder, CUNY City College, New York, NY, United States
Reproducing Morphological Changes to and Passive Microwave TBs from CLPX Snow Pits in Furtherance of Developing an Accurate Snow Retrieval Algorithm (415803)
David Truesdale, US Naval Research Laboratory, Washington, DC, United States
Application of a K-band FMCW Radar for the temporal tracking of dry snow stratigraphy, snowpack melt-freeze states, and mixed snow-rain precipitation events (381127)
Chago Rodriguez, Boise State University, Boise, ID, United States, Hans-Peter Marshall, Boise State University, Department of Geosciences, Boise, ID, United States and Pedro Rodriguez, University of Maryland College Park, Computer Science, College Park, MD, United States
Do snow models represent differences in snow density between forests and open areas for remote sensing of SWE? (444813)
Mark S Raleigh1,2, Eric Smyth1 and Eric E Small3, (1)University of Colorado at Boulder, Boulder, CO, United States, (2)Cooperative Institute for Research in Environmental Sciences, National Snow and Ice Data Center, Boulder, CO, United States, (3)University of Colorado at Boulder, Department of Geological Sciences, Boulder, United States
Snow Depth Estimation and Historical Data Reconstruction Based on Machine Learning Technique (428039)
Lingmei Jiang, Beijing Normal University, Beijing, China

See more of: Cryosphere