TH2.R2.1
Numerical Maxwell Modeling of L-Band Wet-Snow Effective Permittivity: Tri-Continuous vs. Coated-Film Water Morphologies
Hui Jiang, Firoz Borah, Leung Tsang, Zhenming Huang, University of Michigan, United States; Andreas Colliander, Finnish Meteorological Institute, Finland; Alamgir Hossan, California Institute of Technology, United States
Session:
TH2.R2: Microwave Remote Sensing of Snow II Oral
Track:
Community Contributed Themes
Location:
TBD
Presentation Time:
Thu, 13 Aug, 11:00 - 11:15
Presentation
Discussion
Resources
No resources available.
Session TH2.R2
TH2.R2.1: Numerical Maxwell Modeling of L-Band Wet-Snow Effective Permittivity: Tri-Continuous vs. Coated-Film Water Morphologies
Hui Jiang, Firoz Borah, Leung Tsang, Zhenming Huang, University of Michigan, United States; Andreas Colliander, Finnish Meteorological Institute, Finland; Alamgir Hossan, California Institute of Technology, United States
TH2.R2.2: MAPPING AND UNDERSTANDING SEASONAL SNOW PROCESSES USING MULTIFREQUENCY SAR MEASUREMENTS FROM NASA’s SNOWEX CAMPAIGNS
Ashwani Rai, Ana P. Barros, University of Illinois - Urbana Champaign, United States; Melody Pin-Chieh Pan, Michael Durand, The Ohio State University, United States; H.P. Marshall, Boise State University, United States; Carrie Vuoyvich, NASA Goddard Space Flight Center, United States
TH2.R2.3: A First Look at SnowEx SWESARR Reveals Snow Class and Land Cover Type Controls on Radar Backscatter
Melody Pin-Chieh Pan, Michael Durand, The Ohio State University, United States; Ana Barros, University of Illinois Urbana-Champaign, United States; Sydney Baratta, Cold Regions Research and Engineering Laboratory, United States; Dylan Boyd, Mississippi State University, United States; Siobhan Ciafone, Cold Regions Research and Engineering Laboratory, United States; Othmar Frey, Gamma Remote Sensing, Switzerland; Kate Hale, University of British Columbia, United States; J. Michelle Hu, University of Utah, United States; Elodie Macorps, NASA Goddard Space Flight Center, United States; Hans-Peter Marshall, Boise State University, United States; Megan Mason, University of California, Berkeley, United States; Bareera Mirza, Oregon State University, United States; Evi Ofekeze, Boise State University, United States; Batuhan Osmanoglu, Ursa Space Systems, United States; Paul Siqueira, University of Massachusetts Amherst, United States; Carrie Vuyovich, Kehan Yang, NASA Goddard Space Flight Center, United States
TH2.R2.4: Advancing snow data assimilation with a dynamic observation uncertainty
Devon Dunmire, Michel Bechtold, Lucas Boeykens, Gabriëlle De Lannoy, KU Leuven, Belgium
TH2.R2.5: Improving AMSR2 snow depth retrieval using interpretable machine learning
Kehan Yang, Science Systems and Applications, Inc, United States; Sujay Kumar, NASA Goddard Flight Center, United States; Goutam Konapala, Pacific Northwest National Laboratory, United States; Justin Pflug, University of Maryland, United States; Carrie Vuyovich, NASA Goddard Flight Center, United States; Ehsan Jalilvand, Yeosang Yoon, Science Applications International Corporation, United States
Contacts