Snow quenches our thirst, cools our planet

Publications

Displaying Items 1 - 25 of 102

2022

Cho, E. Kwon, Y. Kumar, S.V. Vuyovich, C.M.
(2022). Assimilation of airborne gamma observations provides utility for snow estimation in forested environments. Hydrology and Earth System Sciences Discussions, 1-26.
Cho, E. Vuyovich, C.M. Kumar, S.V. Wrzesien, M.L. Kim, R.S.
(2022). Evaluating the Utility of Active Microwave Observations as a Snow Mission Concept Using Observing System Simulation Experiments. The Cryosphere Discussions, 1-24.
Cho, E. Vuyovich, C.M. Kumar, S.V. Wrzesien, M.L. Kim, R.S. Jacobs, J.M.
(2022). Precipitation Biases and Snow Physics Limitations Drive the Uncertainties in Macroscale Modeled Snow Water Equivalent. Hydrology and Earth System Sciences, 1-22.
Fang, Y. Liu, Y. Margulis, S.A.
(2022). A western United States snow reanalysis dataset over the Landsat era from water years 1985 to 2021. Scientific Data, 9 (1), 1-17.
Kraft, M. McNamara, J.P. Marshall, H.P. Glenn, N.F.
(2022). Forest impacts on snow accumulation and melt in a semi-arid environment. Frontiers in Water, 207.
Lahmers, T.M. Kumar, S.V. Rosen, D. Dugger, A. Gochis, D.J. Santanello, J.A. Gangodagamage, C. Dunlap, R.
(2022). Assimilation of NASA's Airborne Snow Observatory Snow Measurements for Improved Hydrological Modeling: A Case Study Enabled by the Coupled LIS/WRF‐Hydro System. Water Resources Research, 58 (3), e2021WR029867.
Wrzesien, M.L. Kumar, S. Vuyovich, C. Gutmann, E.D. Kim, R.S. Forman, B.A. Durand, M. Raleigh, M.S. Webb, R. Houser, P.
(2022). Development of a “nature run” for observing system simulation experiments (OSSEs) for snow mission development. Journal of Hydrometeorology, 23 (3), 351-375.
Yatheendradas, S. Kumar, S.
(2022). A Novel Machine Learning–Based Gap-Filling of Fine-Resolution Remotely Sensed Snow Cover Fraction Data by Combining Downscaling and Regression. Journal of Hydrometeorology, 23 (5), 637-658.

2021

Bonnell, R. McGrath, D. Williams, K. Webb, R. Fassnacht, S.R. Marshall, H.-P.
(2021). Spatiotemporal Variations in Liquid Water Content in a Seasonal Snowpack: Implications for Radar Remote Sensing. Remote Sens., 13, 4223. https://doi.org/10.3390/rs13214223.
Hojatimalekshah, A. Uhlmann, Z. Glenn, N.F. Hiemstra, C.A. Tennant, C.J. Graham, J.D. Spaete, L. Gelvin, A. Marshall, H.P. McNamara, J.P. Enterkine, J.
(2021). Tree canopy and snow depth relationships at fine scales with terrestrial laser scanning. The Cryosphere, 15 (5), 2187-2209.
Kim, R.S. Kumar, S. Vuyovich, C. Houser, P. Lundquist, J. Mudryk, L. Durand, M. Barros, A. Kim, E.J. Forman, B.A. Gutmann, E.D.
(2021). Snow Ensemble Uncertainty Project (SEUP): quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling. The Cryosphere, 15 (2), 771-791.
Kwon, Y. Yoon, Y. Forman, B.A. Kumar, S.V. Wang, L.
(2021). Quantifying the observational requirements of a space-borne LiDAR snow mission. Journal of Hydrology, 601, p126709.
Mei, L. Rozanov, V. Jäkel, E. Cheng, X. Vountas, M. Burrows, J.P.
(2021). The retrieval of snow properties from SLSTR Sentinel-3 – Part 2: Results and validation. The Cryosphere, 15, 2781–2802. https://doi.org/10.5194/tc-15-2781-2021.
Webb, R.W. Marziliano, A. McGrath, D. Bonnell, R. Meehan, T.G. Vuyovich, C. Marshall, H.-P.
(2021). In Situ Determination of Dry and Wet Snow Permittivity: Improving Equations for Low Frequency Radar Applications. Remote Sens., 13, 4617. https://doi.org/10.3390/rs13224617.

2020

Cao, Y. Barros, A.P.
(2020). Weather-Dependent Nonlinear Microwave Behavior of Seasonal High-Elevation Snowpacks. Remote Sens., 12, 3422. https://doi.org/10.3390/rs12203422.
Manickam, S. Barros, A.
(2020). Parsing synthetic aperture radar measurements of snow in complex terrain: scaling behaviour and sensitivity to snow wetness and land cover. Remote Sensing, 12 (3), 483.
Webb, R.W. Raleigh, M.S. McGrath, D. Molotch, N.P. Elder, K. Hiemstra, C. Brucker, L. Marshall, H.P.
(2020). Within‐stand boundary effects on snow water equivalent distribution in forested areas. Water Resources Research, 56 (10), e2019WR024905.

2019

Currier, W.R. Pflug, J. Mazzotti, G. Jonas, T. Deems, J.S. Bormann, K.J. Painter, T.H. Hiemstra, C.A. Gelvin, A. Uhlmann, Z. Spaete, L.
(2019). Comparing aerial lidar observations with terrestrial lidar and snow‐probe transects from NASA's 2017 SnowEx campaign. Water Resources Research, 55 (7), 6285-6294.
Mazzotti, G. Currier, W.R. Deems, J.S. Pflug, J.M. Lundquist, J.D. Jonas, T.
(2019). Revisiting snow cover variability and canopy structure within forest stands: Insights from airborne lidar data. Water Resources Research, 55 (7), 6198-6216.
McGrath, D. Webb, R. Shean, D. Bonnell, R. Marshall, H.P. Painter, T.H. Molotch, N.P. Elder, K. Hiemstra, C. Brucker, L.
(2019). Spatially extensive ground‐penetrating radar snow depth observations during NASA's 2017 SnowEx campaign: Comparison with In situ, airborne, and satellite observations. Water Resources Research, 55 (11), 10026-10036.
Meyer, J. Skiles, S.M.
(2019). Assessing the ability of Structure from Motion to map high‐resolution snow surface elevations in complex terrain: A case study from Senator Beck Basin, CO. Water Resources Research, 55 (8), 6596-6605.
Thompson, A. Kelly, R.
(2019). Observations of a coniferous forest at 9.6 and 17.2 GHz: Implications for SWE retrievals. Remote Sensing, 11 (1), 6.

2018

Hall, D.K. Cullather, R.I. Comiso, J.C. DiGirolame, N.E. Nowicki, S.M. Medley, B.C.
(2018). A multilayer IST – albedo product of Greenland from MODIS. Remote Sensing [Special Issue: Remote Sensing of Essential Climate Variables and their Applications], 10 (4), 555. 10.3390/rs10040555.
Hall, D.K. Frei, A. DiGirolamo, N.E.
(2018). On the frequency of lake-effect snowfall in the Catskill Mountains. Physical Geography, 1-17. 10.1080/02723646.2018.1440827.
Kim, E.
(2018). How Can We Find Out How Much Snow Is in the World?. Eos, 99,

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