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Snow quenches our thirst, cools our planet
2022
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(2022).
Assimilation of airborne gamma observations provides utility for snow estimation in forested environments.
Hydrology and Earth System Sciences Discussions,
1-26.
-
(2022).
Evaluating the Utility of Active Microwave Observations as a Snow Mission Concept Using Observing System Simulation Experiments.
The Cryosphere Discussions,
1-24.
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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.
-
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.
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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.
-
(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
-
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.
-
(2021).
Quantifying the observational requirements of a space-borne LiDAR snow mission.
Journal of Hydrology,
601,
p126709.
