Articles | Volume 25, issue 9
https://doi.org/10.5194/hess-25-4651-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-4651-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
31 Aug 2021
Research article |
| 31 Aug 2021
| 31 Aug 2021
Assimilation of citizen science data in snowpack modeling using a new snow data set: Community Snow Observations
Water Resources Science, Oregon State University, Corvallis, OR 97331, USA
Earth and Environmental Sciences, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
David F. Hill
School of Civil and Construction Engineering, Oregon State University, Corvallis, OR 97331, USA
Katreen Wikstrom Jones
Alaska Division of Geological and Geophysical Surveys, Fairbanks, AK 99709, USA
Gabriel J. Wolken
Alaska Division of Geological and Geophysical Surveys, Fairbanks, AK 99709, USA
International Arctic Research Center, University of Alaska Fairbanks, Fairbanks, AK 99775, USA
Anthony A. Arendt
Applied Physics Laboratory, University of Washington, WA 98105, USA
Christina M. Aragon
Water Resources Science, Oregon State University, Corvallis, OR 97331, USA
Christopher Cosgrove
Geography Department, Oregon State University, Corvallis, OR 97331,
USA
Community Snow Observations Participants
Citizen scientists participating in the project Community Snow Observations (CSO)
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Short summary
In this study, we use a new snow data set collected by participants in the Community Snow Observations project in coastal Alaska to improve snow depth and snow water equivalence simulations from a snow process model. We validate our simulations with multiple datasets, taking advantage of snow telemetry (SNOTEL), snow depth and snow water equivalence, and remote sensing measurements. Our results demonstrate that assimilating citizen science snow depth measurements can improve model performance.
In this study, we use a new snow data set collected by participants in the Community Snow...
