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)
Viewed
Total article views: 3,180 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Sep 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,283 | 828 | 69 | 3,180 | 76 | 95 |
- HTML: 2,283
- PDF: 828
- XML: 69
- Total: 3,180
- BibTeX: 76
- EndNote: 95
Total article views: 2,454 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 31 Aug 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,881 | 513 | 60 | 2,454 | 59 | 81 |
- HTML: 1,881
- PDF: 513
- XML: 60
- Total: 2,454
- BibTeX: 59
- EndNote: 81
Total article views: 726 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Sep 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 402 | 315 | 9 | 726 | 17 | 14 |
- HTML: 402
- PDF: 315
- XML: 9
- Total: 726
- BibTeX: 17
- EndNote: 14
Viewed (geographical distribution)
Total article views: 3,180 (including HTML, PDF, and XML)
Thereof 3,041 with geography defined
and 139 with unknown origin.
Total article views: 2,454 (including HTML, PDF, and XML)
Thereof 2,383 with geography defined
and 71 with unknown origin.
Total article views: 726 (including HTML, PDF, and XML)
Thereof 658 with geography defined
and 68 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
12 citations as recorded by crossref.
- Bridge over changing waters–Citizen science for detecting the impacts of climate change on water J. Seibert et al. 10.1371/journal.pclm.0000088
- Evaluation of LiDAR-Derived Snow Depth Estimates From the iPhone 12 Pro F. King et al. 10.1109/LGRS.2022.3166665
- SNOTEL, the Soil Climate Analysis Network, and water supply forecasting at the Natural Resources Conservation Service: Past, present, and future S. Fleming et al. 10.1111/1752-1688.13104
- Spatial patterns of snow distribution in the sub-Arctic K. Bennett et al. 10.5194/tc-16-3269-2022
- The academic impact of Open Science: a scoping review T. Klebel et al. 10.1098/rsos.241248
- Utilising tourist-generated citizen science data in response to environmental challenges: A systematic literature review G. Butler et al. 10.1016/j.jenvman.2023.117889
- Mountain snow depth retrievals from customized processing of ICESat-2 satellite laser altimetry H. Besso et al. 10.1016/j.rse.2023.113843
- Leveraging snow probe data, lidar, and machine learning for snow depth estimation in complex-terrain environments D. Liljestrand et al. 10.5194/tc-19-3123-2025
- Mapping of snow water equivalent by a deep-learning model assimilating snow observations G. Cui et al. 10.1016/j.jhydrol.2022.128835
- A low-to-no snow future and its impacts on water resources in the western United States E. Siirila-Woodburn et al. 10.1038/s43017-021-00219-y
- Stuck in the Wild—The Hydrology of the Teklanika River (Alaska) in the Summer of 1992 D. Hill & C. Aragon 10.3389/feart.2022.902226
- Standardized monitoring of permafrost thaw: a user-friendly, multiparameter protocol J. Boike et al. 10.1139/as-2021-0007
11 citations as recorded by crossref.
- Bridge over changing waters–Citizen science for detecting the impacts of climate change on water J. Seibert et al. 10.1371/journal.pclm.0000088
- Evaluation of LiDAR-Derived Snow Depth Estimates From the iPhone 12 Pro F. King et al. 10.1109/LGRS.2022.3166665
- SNOTEL, the Soil Climate Analysis Network, and water supply forecasting at the Natural Resources Conservation Service: Past, present, and future S. Fleming et al. 10.1111/1752-1688.13104
- Spatial patterns of snow distribution in the sub-Arctic K. Bennett et al. 10.5194/tc-16-3269-2022
- The academic impact of Open Science: a scoping review T. Klebel et al. 10.1098/rsos.241248
- Utilising tourist-generated citizen science data in response to environmental challenges: A systematic literature review G. Butler et al. 10.1016/j.jenvman.2023.117889
- Mountain snow depth retrievals from customized processing of ICESat-2 satellite laser altimetry H. Besso et al. 10.1016/j.rse.2023.113843
- Leveraging snow probe data, lidar, and machine learning for snow depth estimation in complex-terrain environments D. Liljestrand et al. 10.5194/tc-19-3123-2025
- Mapping of snow water equivalent by a deep-learning model assimilating snow observations G. Cui et al. 10.1016/j.jhydrol.2022.128835
- A low-to-no snow future and its impacts on water resources in the western United States E. Siirila-Woodburn et al. 10.1038/s43017-021-00219-y
- Stuck in the Wild—The Hydrology of the Teklanika River (Alaska) in the Summer of 1992 D. Hill & C. Aragon 10.3389/feart.2022.902226
1 citations as recorded by crossref.
Latest update: 27 Aug 2025
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...
