Poster Session 11 Snow Processes and Melt Detection through Remote Sensing, Modeling, and Data Assimilation—Posters

Wednesday, 15 January 2020: 4:00 PM-6:00 PM
Hall B (Boston Convention and Exhibition Center)
Host: 34th Conference on Hydrology
Chair:
Elias Deeb, Army Engineer Research and Engineering Center, Cold Regions Research and Engineering Laboratory, Hanover, NH
Cochairs:
Melissa L. Wrzesien, Ohio State Univ., School of Earth Sciences and Byrd Polar and Climate Research Center, Columbus, OH and Carrie Vuyovich, NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD

In snow-dominated basins across the globe, efficient water resource management requires accurate, timely estimates of both snow water equivalent (SWE) and snow melt onset. Melting snow provides a reliable water supply and can also produce wide-scale flooding hazards, particularly when combined with rainfall. An accurate estimate of snow volume, melt timing and the spatial distribution of both parameters is important for predicting runoff response for water resource and hydropower management as well as providing insight into important ecological and biogeochemical processes.  Remote sensing and modeling techniques provide methods for observing and detecting snow evolution, onset of snowmelt, spatial extent of melt processes, and vulnerability to extreme flood hazards that may result.  Both existing and novel remote sensing techniques have been developed to estimate snow evolution timing including the detection of liquid water in the snowpack.  Snow reconstruction and energy balance snow models have shown the ability to estimate snow properties, such as snow volume, liquid water content and melt. Observational, in-situ datasets that drive these models with meteorological inputs and modify the model through data assimilation techniques are critical in accurately portraying the natural phenomena of snow evolution. Reanalysis datasets have also proven valuable to forensically investigate large flooding events caused by snow melt. This session invites interdisciplinary research on existing and novel methods for remote sensing, modeling, and data assimilation of snow evolution, particularly snow melt timing and efforts linked to increased volume of discharge for water resource and hydropower management as well as resiliency and vulnerability to extreme flood events.

Papers:
Poster 1071 is now Paper 13B.2A

1072
Snow Disdrometer
Dhiraj Kumar Singh, Univ. of Utah, Salt Lake City, UT

1073
SMAP Freeze–Thaw Subpixel Heterogeneity and Infrastructure Applications
Mahsa Moradi, Univ. of New Hampshire, Durham, NH; and S. Kraatz and J. M. Jacobs

1074
Cold Season Surface Classification by Response to Snow Accumulation and Melt: An Active–Passive Microwave Perspective from GPM
Stephen Joseph Munchak, NASA GSFC, Greenbelt, MD; and S. E. Ringerud, L. Brucker, Y. You, and C. Prigent

1075
Remote Snow Strength Detection Using Multifrequency/Multipolarization Radar
Elias J. Deeb, Cold Regions Research and Engineering Laboratory, Hanover, NH; and H. P. Marshall, Z. Courville, J. Lever, R. Forster, and S. A. Shoop

1076
Changes to Western U.S. Snow Accumulation throughout the Twenty-First Century: Predictions from Dynamical Downscaling
Melissa L. Wrzesien, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC; and T. M. Pavelsky

1077
Snow Ensemble Uncertainty Project (SEUP): Characterization of Snow Water Equivalent Uncertainty Using an Ensemble-Based Land Surface Modeling
Rhae Sung Kim, NASA Goddard Space Flight Center, Greenbelt, MD; USRA, Columbia, MD; and S. V. Kumar, C. Vuyovich, P. Houser, M. T. Durand, L. Mudryk, J. M. Johnston, J. D. Lundquist, C. Garnaud, B. A. Forman, M. Sandells, M. L. Wrzesien, and N. Cristea

1078
Evaluation of Snow Water Equivalent and Snowmelt Processes in the NA-Cordex Regional Climate Simulations
Rachel McCrary, NCAR, Boulder, CO; and E. Cho, J. M. Jacobs, and L. O. Mearns

1079
A Modified Degree-Day Method for Volume and Timing Estimation of Snowmelt and Refreezing
Ana Žaknić-Ćatović, Univ. of Toronto, Scarborough, Toronto, Canada; and K. W. F. Howard, W. A. Gough, and Z. Ćatović

Handout (2.5 MB)

1080
Development of a Global Operational Snow Analysis at the U.S. Air Force 557th Weather Wing
Yeosang Yoon, NASA GSFC/SAIC, Greenbelt, MD; and E. M. Kemp, S. V. Kumar, J. W. Wegiel, and C. D. Peters-Lidard

1081
Utilizing a Novel Snow Reanalysis Dataset from Landsat to Evaluate National Water Model Simulations of Snow Water Equivalent
Konstantinos Andreadis, Univ. of Massachusetts Amherst, Amherst, MA; and S. Wi, S. A. Margulis, and D. P. Lettenmaier

1082
Streamflow from Snowmelt Runoff Using Satellite-Borne Microwave Observations
Adam George Hunsaker, Univ. of New Hampshire, Durham, NH; and J. M. Jacobs and C. Vuyovich

Poster 1084 is now Paper 10B.4A

1086
Influence Mechanism Analysis of Snow Caused by Two Central Asian Vortexes in the West of Southern Xinjiang in 2011
Yunhui Zhang V, Xinjiang Meteorological Observatory, Urumqi, China; and B. Yu

1087
A Multifaceted Evaluation of National Water Model Snow Processes in Complex Terrain
Francesca Viterbo, CIRES, Boulder, CO; and M. Hughes, K. Mahoney, R. Cifelli, M. Barlage, D. Gochis, J. Lundquist, and C. S. Draper

1088
Adaptation of SnowModel for Vehicle Mobility in Snow
Julie Parno, Cold Regions Research and Engineering Laboratory, Hanover, NH

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner