Snow quenches our thirst, cools our planet

Publications

Displaying Items 26 - 50 of 119

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,

2017

Kwok, R. Kurtz, N.T. Brucker, L. Ivanoff, A. Newman, T. Farrell, S.L. King, J. Howell, S. Webster, M.A. Paden, J. Leuschen, C. MacGregor, J.A. Richter-Menge, J. Harbeck, J. Tschudi, M.
(2017). Intercomparison of snow depth retrievals over Arctic sea ice from radar data acquired by Operation IceBridge. The Cryosphere, 11, 2571-2593. 10.5194/tc-11-2571-2017.
Langlois, A. Johnson, C.A. Montpetit, B. Royer, A. Arhonditsis, G. Kim, D.K. Kaluskar, S. Brucker, L.
(2017). Detection of rain-on-snow (ROS) events and ice layer formation using passive microwave radiometry: A context for Peary caribou habitat in the Canadian Arctic. Remote Sensing of Environment, 189, 84-95. 10.1016/j.rse.2016.11.006.
Miller, O.L. Solomon, D.K. Miege, C. Koenig, L. Forster, R.R. Montgomery, L.N. Schmerr, N. Ligtenberg, S. Legchenko, A. Brucker, L.
(2017). Hydraulic conductivity of a firn aquifer system in southeast Greenland determined with a heated piezometer. Front. Earth Science-Cryospheric Sciences, 5, 10.3389/feart.2017.00038.
Moller, D. Andreadis, K.M. Bormann, K.J. Hensley, S. Painter, T.H.
(2017). Mapping snow depth from ka-band interferometry: proof of concept and comparison with scanning lidar retrievals. IEEE Geoscience and Remote Sensing Letters, 14 (6), 886-890.
Poinar, K. Joughin, I. Lilien, D. Brucker, L. Kerl, L. Nowicki, S.
(2017). Drainage of Southeast Greenland firn aquifer water through crevasses to the bed. ront. Earth Sci. - Cryospheric Sciences, 5, 10.3389/feart.2017.00005.
Riggs, G.A. Hall, D.K. Román, M.O.
(2017). Overview of NASA’s MODIS and Visible Infrared Imaging Radiometer Suite (VIIRS) snow-cover Earth System Data Records. Earth System Data Records, 9, 765-777. 10.5194/essd-9-765-2017.
Royer, A. Roy, A. Montpetit, B. Saint-Jean-Rodeau, O. Picard, G. Brucker, L. Langlois, A.
(2017). Comparison of commonly-used microwave radiative transfer models for snow remote sensing. Remote Sensing of Environment, 190, 247-259. 10.1016/j.rse.2016.12.020.
Yang, Y. Marshak, A. Palm, S. Harding, D.
(2017). Snow grain size retrieval over the polar ice sheets with the Ice, Cloud, and land Elevation Satellite (ICESat) observations. J. Quant. Spectrosc. Radiat. Transfer, 186, 159-164.

Jump to Top