TH2.R2.4
Advancing snow data assimilation with a dynamic observation uncertainty
Devon Dunmire, Michel Bechtold, Lucas Boeykens, Gabriëlle De Lannoy, KU Leuven
Session:
TH2.R2: Microwave Remote Sensing of Snow II Oral
Track:
Community Contributed Themes
Location:
Northwest
Presentation Time:
Thursday, 13 August, 11:45 - 12:00
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; Andreas Colliander, Finnish Meteorological Institute; Alamgir Hossan, California Institute of Technology
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
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
TH2.R2.4: Advancing snow data assimilation with a dynamic observation uncertainty
Devon Dunmire, Michel Bechtold, Lucas Boeykens, Gabriëlle De Lannoy, KU Leuven
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
Resources
No resources available.