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Snow quenches our thirst, cools our planet

Publications

Displaying Items 1 - 9 of 9

2024

Breen, C., Currier, W.R., Vuyovich, C., Miao, Z., & Prugh, L.R.
(2024). Snow Depth Extraction From Time‐Lapse Imagery Using a Keypoint Deep Learning Model. Water Resources Research, 60(7), https://doi.org/10.1029/2023WR036682.
Hoppinen, Z., Oveisgharan, S., P. Marshall, H., Mower, R., Elder, K., & Vuyovich, C.
(2024). Snow Water Equivalent Retrieval Over Idaho, Part B: Using L-band UAVSAR Repeat-Pass Interferometry. The Cryosphere, 18(2), 575-592. https://doi.org/10.5194/tc-18-575-2024.

2023

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., 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.
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.
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.

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