TH2.R2: Microwave Remote Sensing of Snow II
Thursday, 13 August, 11:00 - 12:15
Location: Northwest
Session Type: Oral
Track: Community Contributed Themes
Thu, 13 Aug, 11:00 - 11:15

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; Andreas Colliander, Finnish Meteorological Institute; Alamgir Hossan, California Institute of Technology
Thu, 13 Aug, 11:15 - 11:30

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; Melody Pin-Chieh Pan, Michael Durand, The Ohio State University; H.P. Marshall, Boise State University; Carrie Vuoyvich, NASA Goddard Space Flight Center
Thu, 13 Aug, 11:30 - 11:45

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; Ana Barros, University of Illinois Urbana-Champaign; Sydney Baratta, Cold Regions Research and Engineering Laboratory; Dylan Boyd, Mississippi State University; Siobhan Ciafone, Cold Regions Research and Engineering Laboratory; Othmar Frey, Gamma Remote Sensing; Kate Hale, University of British Columbia; J. Michelle Hu, University of Utah; Elodie Macorps, NASA Goddard Space Flight Center; Hans-Peter Marshall, Boise State University; Megan Mason, University of California, Berkeley; Bareera Mirza, Oregon State University; Evi Ofekeze, Boise State University; Batuhan Osmanoglu, Ursa Space Systems; Paul Siqueira, University of Massachusetts Amherst; Carrie Vuyovich, Kehan Yang, NASA Goddard Space Flight Center
Thu, 13 Aug, 11:45 - 12:00

TH2.R2.4: Advancing snow data assimilation with a dynamic observation uncertainty

Devon Dunmire, Michel Bechtold, Lucas Boeykens, Gabriëlle De Lannoy, KU Leuven
Thu, 13 Aug, 12:00 - 12:15

TH2.R2.5: Improving AMSR2 snow depth retrieval using interpretable machine learning

Kehan Yang, Science Systems and Applications, Inc; Sujay Kumar, NASA Goddard Flight Center; Goutam Konapala, Pacific Northwest National Laboratory; Justin Pflug, University of Maryland; Carrie Vuyovich, NASA Goddard Flight Center; Ehsan Jalilvand, Yeosang Yoon, Science Applications International Corporation