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Snow quenches our thirst, cools our planet

Publications

Displaying Items 1 - 14 of 14

2024

Singh, S., Durand, M., Kim, E., & Barros, A.
(2024). Bayesian physical–statistical retrieval of snow water equivalent and snow depth from X- and Ku-band synthetic aperture radar – demonstration using airborne SnowSAr in SnowEx’17. The Cryosphere, 18, 747-773. https://doi.org/10.5194/tc-18-747-2024.
Woodley, M., Kim, H., Sproles, E. , Eberly, E., & Tuttle, S.
(2024). Evaluating cosmic ray neutron sensor estimates of snow water equivalent in a prairie environment using UAV lidar. Water Resources Research, 60(6), https://doi.org/10.1029/2024WR037164.

2023

Borah, F. , Tsang, L., & Kim, E.
(2023). SWE Retrieval Algorithms Based on the Parameterized BI-Continuous DMRT Model Without Priors on Grain Size OR Scattering Albedo. Progress In Electromagnetics Research, 178, 129-147. http://dx.doi.org/10.2528/PIER23071101.
Cho, E., Vuyovich, C., Kumar, S., Wrzesien, M.L., & Kim, R.S.
(2023). Evaluating the utility of active microwave observations as a snow mission concept using observing system simulation experiments. The Cryosphere, 17(9), 3915-3931. https://doi.org/10.5194/tc-17-3915-2023.

2022

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.
Kang, D.H., Lee, K., & Kim, E.
(2022). Improvement of springtime streamflow prediction using a snow hydrology model aided with USDA SNOTEL and in-situ snowpit observations. Hydrology Research, 53(12), 1510-1528. https://doi.org/10.2166/nh.2022.180 .
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. https://doi.org/10.1175/JHM-D-21-0071.1.

2021

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.

2018

Kim, E.
(2018). How Can We Find Out How Much Snow Is in the World?. Eos, 99,

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.

2008

Kim, M.J., Weinman, J.A., Olson, W.S., Chang, D.E., Skofronick-Jackson, G., & Wang, J.R.
(2008). A physical model to estimate snowfall over land using AMSU-B observations. J. Geophys. Res, 113(D9), 10.1029/2007JD008589.
Skofronick-Jackson, G., Heymsfield, A., Holthaus, E., Albers, C., & Kim, M.J.
(2008). Nonspherical and spherical characterization of ice in Hurricane Erin for wideband passive microwave comparisons. J. Geophys. Res, 113(D6), 10.1029/2007JD008866.

2004

Skofronick-Jackson, G.M., Kim, M.J., Weinman, J.A., & Chang, D.E.
(2004). A Physical Model to Determine Snowfall over Land by Microwave Radiometry. IEEE Trans. Geosci. Remote Sens, 42, 1047-1058. 10.1109/TGRS.2004.825585.

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