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Snow quenches our thirst, cools our planet

Publications

Displaying Items 1 - 6 of 6

2024

Meehan, T.G. , Hojatimalekshah, A. , Marshall, H.P. , Deeb, E. , O'Neel, S. , McGrath, D. , Webb, R. , Bonnell, R. , Raleigh, M. , Hiemstra, C. , Elder, K.
(2024). Spatially distributed snow depth, bulk density, and snow water equivalent from ground-based and airborne sensor integration at Grand Mesa, Colorado, USA. The Cryosphere, 18, 3253-3276. https://doi.org/10.5194/tc-18-3253-2024.

2022

Smyth, E. , Raleigh, M.S. , Small, E.E.
(2022). The challenges of simulating SWE beneath forest canopies are reduced by data assimilation of snow depth.. Water Resources Research, 58(3), https://doi.org/10.1029/2021WR030563.
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.

2020

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.

2017

Raleigh, M.S. , Small, E.E.
(2017). Snowpack density modeling is the primary source of uncertainty when mapping basin-wide SWE with lidar, Geophys. Res. Lett., 44, 3700–3709. doi:10.1002/2016GL071999.

2014

Landry, C.C. , Buck, K.A. , Raleigh, M.S. , Clark, M.P.
(2014). Mountain system monitoring at Senator Beck Basin, San Juan Mountains, Colorado: A new integrative data source to develop and evaluate models of snow and hydrologic processes. Water Resources Research, 50(2), 1773 - 1788. 10.1002/2013WR013711.

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