ESC 2025 (81ST Meeting Syracuse NY)
Front matter
01 A. Elias Chereque, M. Hewitt, P. Kushner, C. Derksen, L. Mudryk. Explaining snow biases in CMIP6 simulations using offline snow modelling.
02 J. Johnston, J.M. Jacobs, M. Verfaillie Vardaman, E. Cho. Snow classification and characterization in eastern North America.
03 A. Grunes, G. Sexstone, J. Hammond, K. Hale, D. Rizzo, P. Clemins, B. Wemple, A. Bomblies. Development and evaluation of a physics-based snow model to assess spatiotemporal snowpack and snowmelt runoff variability in the northeastern USA.
04 M. Myers, L. Thomson. High-resolution glacier melt modeling in High Arctic Canada.
05 F. Cooverji, E. Cho, B. Li, C. Vuyovich, J. Jacobs, S. Tuttle, E. Sproles. Quantification of snowmelt-induced streamflow within the Smith River watershed, Montana, using a water balance analysis.
06 A. O’Flynn. Investigating proglacial icing formation and temporal dynamics on Axel Heiberg Island, Nunavut: A remote sensing approach.
07 M. Blaisdell, I. Baker. Mechanical and microstructural behaviour of snow with an ice lens under variable rate compressive loading.
08 A. Valentine, A. Stubblefield, C. Meyer. Refining the French-press model of dry snow compaction.
09 M.A. Hardman, M.J. Brodzik, J.M. Ramage, S. Lewis. Near real-time snow water equivalent records: Using calibrated, enhanced-resolution passive microwave version 2 data (CETB) to track an early November storm in Colorado.
10 S.R. Fassnacht, M.T. Talbot, J. Lopez, J. Revuleto, J. Herrero, A.J. Collados Lara, D. Puilido, H. Flynn, M. MacDonald, J. Snow, J.I. Lopez-Moreno. Rapid ablation snow roughness features quantified.
11 R. Koirala, J. Johnston, J. Jacobs. Automated snow covered area extraction from field camera imagery.
12 M. Pan, M. Durand, S. Baratta, D. Boyd, S. Ciafone, J.M. Hu, E. Macorps, H.-P. Marshall, M. Mason, B. Mirza, E. Ofekeze, C. Vuyovich, K. Yang. Interpreting seasonal changes in SWESARR backscatter data in Grand Mesa, Colorado.
13 F. St-Amour, L. Thomson. Creation of a low-cost ice-melt monitoring system.
14 M. Franssen, M. MacDonald. A climatology of the solid-to-liquid ratio of precipitation on the summit of Mount Washington, NH.
15 J. LaDue, A. Grunes, B. Wemple, A. Bomblies. Relative importance of canopy structure metrics on snowpack dynamics in the northeast using random forest algorithms.
16 A. Hunsaker, J. Johnston, A. Fleming, R. Reed, R. Koirala, D. Evans, M. Green, M. Kang, J. Jacobs. Winter 2024-2025 snow condition within a northern NH catchment using uncrewed aerial systems (UAS) lidar.
17 S. Kumar. Mapping glacier disintegration in the Beas River basin using geospatial techniques: A case study of Parbati catchment.
18 H. Kim, D. Fastovich, T. Bhattacharya, S. Tuttle. Improving prediction of snow resources using midlatitude SSTs with convergent cross mapping.
19 S. Schilling, A. Dietz, C. Kuenzer. The potential of causal inference for examining the connection of snowmelt and river discharge - a northern hemisphere analysis from 1980 - 2022.
20 M. Closa Tarres, P. Siqueira, J.M. Adam, J. Maloyan, T. Seaver, A. Migridichian, R. Tessier, L. Tsang, F. Borah, H.-P. Marshall, E. Deeb, G. Farquharson. A dual Ku- and C-band airborne SAR: Second deployment and interferometric results.
21 C. Bayer, V. Vionnet, N.R. Leroux, J. Meloche, M. Carrera, B. Bilodeau, M. Abrahamowicz, F. Lespinas, B. Montpetit. Ku-band radar assimilation to advance SWE estimates: Synthetic and observational point-scale experiments.
22 F. King, C. Pettersen, B. Dolan, J. Shates, D. Posselt. Decoding global precipitation processes and particle evolution using unsupervised learning.
23 A. Pouw, H. Kheyrollah Pour. Interannual variability in snowfall and its influence on snow ice formation on Canadian Sub-Arctic lakes.
24 Z. Liu, M. Rahnemoonfar. Learning internal ice layer thickness with physics-informed spatio-temporal graph transformer.
25 K.L. Duggan DiDominic, C.M. Charlebois, T.D. Melendy, M. Ordaz, C.T. Bradley, L. Mason. Correlating the Russian snow penetrometer and the California bearing ratio for measuring high-strength compacted snow.
26 J. Liu, E. Cho, C. Vuyovich. Assessing the accuracy and influencing factors of airborne LiDAR snow depth estimates in boreal forests: Insights from NASA SnowEx 2023 Alaska campaign.
27 D.K. Hall, B.D. Loomis, J.S. Kimball, N.E. DiGirolamo. Fluctuations in Sierra Nevada snow cover drive groundwater changes in California’s Central Valley basins.
28 T. Seaver, P. Siqueira, M. Closa Tarres, J.M. Adam, J. Maloyan, A. Migridichian, R. Tessier, L. Tsang, F. Borah, H.-P. Marshall, E. Deeb, G. Farquharson. SNOWWI system brief: A multi-frequency interferometric synthetic aperture radar (InSAR) for snow science applications.
29 M. Hewitt, A. Elias Chereque, P. Kushner. Applying an offline snow model to compare snow products in the Mackenzie River basin.
30 H. Kim, A. Mohammed, S. Tuttle. Modeling northeastern U.S. snowpacks to inform hydrological partitioning under changing winter conditions.
31 P. Edwards. A 20-year climatology of upslope snowfall events on Mount Washington (2005-2025).
32 M. Kang, A. Hunsaker, M. Moradi, J.M. Jacobs. Snow water equivalent estimates from uncrewed aerial systems (UAS) lidar and ground penetrating radar (GPR).
33 M. Boueshagh, J.M. Ramage, M.J. Brodzik, D.G. Long, M. Hardman, H.-P. Marshall. What’s driving the signal? Interpretable machine learning unveils the connections between SWE and spatiotemporal variability in passive microwave observations.
34 A.G. Klein, C.K. Casper, J.N. Fitzsimmons, D.H. Henrichs. A matter of spatial scale - examining the representativeness of low-resolution sea ice concentration products of conditions at coastal sites along the central Western Antarctic peninsula.
35 R. Reed, A. Hunsaker, J. Johnston, J.M. Jacobs. Modeling snow water equivalent using UAS snow depth and a temperature-index model in a transitional montane forest in the eastern United States.
36 M. Woodley, H.A. Gunn, C. Beier, J.S. Mills, S.E. Tuttle. Influence of forest canopy type on a seasonal snowpack in the central Adirondack Mountains, NY.
37 J.M. Ramage, M. Boueshagh, L.G. Barnes, M.A. Hardman, M.J. Brodzik. Pixel-wise snow melt and refreeze detection as a function of snow class and terrain.
38 E. Burakowski, J. Benes, J. Clayton, A. Contosta, A. Grunes, H. Hofman, B. Lineman, C. McCarthy, S. McKim, G. Murray, C. Nadeau, S. Nelson, K. Phillips, M. Webb, L. Zukiewicz. The Northeast Snow Survey (NESS) feasibility study: Updates and next steps for designing an automated snowpack and climate monitoring network in the northeastern United States.
39 A.G. Fleming, M. Moradi, J.M. Jacobs. Recommended methods for mapping snow covered areas with UAS RGB imagery.
40 M.B. Green, J.M. Jacobs, J. Johnston. Evaluating the impact of the seasonal snowpack on the wintertime energy budget at the Hubbard Brook Experimental Forest.
41 Q. Zhang. Seasonal and spatial dynamics of snow cover for an evergreen forest ecosystem retrieved with the LVS3 model and MODIS images.
42 B. Montpetit, C. Derksen, V. Vionnet, M. Carrera, J. Meloche, N. Leroux, M. Brady, P. Toose, V. Fortin, C. Bayer, S. Bélair, R. Kelly, A. Langlois,, P.Siqueira, N. Allet, J. Bergeron, P. Plourde, R. Girard. The Terrestrial Snow Mass Mission: Status update.
43 Z. Fair, C. Vuyovich, S. Kumar, M. Wrzesien, J. Pflug, B. Theiling, B. Osmanoglu. A coverage analysis of lidar, passive microwave, and multispectral imagery to define measurement requirements for a theoretical snow mission.
44 M. Wrzesien, C. Vuyovich, S. Kumar, P. Grogan, H. Banafsheh, D. Ramachandran, E. Gonzalez. A snow observing strategy to integrate taskable and nontaskable observations into assimilation framework.
45 J. Wang, B. Bain, S. McKim, N. Farrauggio, J. Minder. Eight years (2017-present) of snow climatology from New York State Mesonet.
46 C. Wagner, A. LeWinter, D. Filiano. South Pole Station snow drift observation system.
47 K.J. Chutko, K.A. Kolen, M. Dressler, Z. Gherasim, C. Johnson, J. Morton, L. Potter, C.C. Roszell, S. Stefanyshyn-Alonso. Are manual snow measurements still important, and if so, why?
48 I.O. Alabi, H.-P. Marshall, J. Mean, E. Trujillo. Estimating snow density and snow water equivalent from snow depth and deasonal snow climate classifications using machine learning.
49 M. Moradi, C. He, R. McCrary, J.M. Jacobs. Snow and soil in Noah-MP: Examining their interaction in the eastern United States.
50 E. Cho, E. Cho, C. Vuyovich, B. Li, J.M. Jacobs. Evaluation of the Noah-MP land surface model for snowmelt-driven flood generation: Guidelines for selecting parameterization schemes.
Sno-Foo Award