Articles | Volume 21, issue 2
https://doi.org/10.5194/hess-21-1137-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-1137-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 Feb 2017
Research article |
| 23 Feb 2017
Developing a representative snow-monitoring network in a forested mountain watershed
Kelly E. Gleason
CORRESPONDING AUTHOR
College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, Oregon 97331, USA
Anne W. Nolin
College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, Oregon 97331, USA
Travis R. Roth
College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, Oregon 97331, USA
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Cited
18 citations as recorded by crossref.
- Snowmelt response to simulated warming across a large elevation gradient, southern Sierra Nevada, California K. Musselman et al. 10.5194/tc-11-2847-2017
- Characterizing Maritime Snow Canopy Interception in Forested Mountains T. Roth & A. Nolin 10.1029/2018WR024089
- A 20-Year Ecotone Study of Pacific Northwest Mountain Forest Vulnerability to Changing Snow Conditions T. Lookingbill et al. 10.3390/land13040424
- Quantifying the early snowmelt event of 2015 in the Cascade Mountains, USA by developing and validating MODIS-based snowmelt timing maps D. O’Leary et al. 10.1007/s11707-018-0719-7
- New snow metrics for a warming world A. Nolin et al. 10.1002/hyp.14262
- The Influence of Cloudiness on Hydrologic Fluctuations in the Mountains of the Western United States E. Sumargo & D. Cayan 10.1029/2018WR022687
- Particle Filter Data Assimilation of Monthly Snow Depth Observations Improves Estimation of Snow Density and SWE E. Smyth et al. 10.1029/2018WR023400
- Spatial Variability in Seasonal Snowpack Trends across the Rio Grande Headwaters (1984–2017) G. Sexstone et al. 10.1175/JHM-D-20-0077.1
- The Challenges of Simulating SWE Beneath Forest Canopies are Reduced by Data Assimilation of Snow Depth E. Smyth et al. 10.1029/2021WR030563
- Improving SWE Estimation With Data Assimilation: The Influence of Snow Depth Observation Timing and Uncertainty E. Smyth et al. 10.1029/2019WR026853
- Estimating snow cover from high-resolution satellite imagery by thresholding blue wavelengths E. Thaler et al. 10.1016/j.rse.2022.113403
- Factorial inferential grid grouping and representativeness analysis for a systematic selection of representative grids G. Cheng et al. 10.1002/2017EA000297
- Snowpack Distribution Using Topographical, Climatological and Winter Season Index Inputs D. Hultstrand et al. 10.3390/atmos13010003
- A new method for establishing hydrologic fidelity of snow depth measurements based on snowmelt–runoff hydrographs D. Park & M. Markus 10.1080/02626667.2018.1438613
- Random forests as a tool to understand the snow depth distribution and its evolution in mountain areas J. Revuelto et al. 10.1002/hyp.13951
- Forest impacts on snow accumulation and ablation across an elevation gradient in a temperate montane environment T. Roth & A. Nolin 10.5194/hess-21-5427-2017
- Perspectives on the causes of exceptionally low 2015 snowpack in the western United States P. Mote et al. 10.1002/2016GL069965
- Using crowdsourced web content for informing water systems operations in snow-dominated catchments M. Giuliani et al. 10.5194/hess-20-5049-2016
16 citations as recorded by crossref.
- Snowmelt response to simulated warming across a large elevation gradient, southern Sierra Nevada, California K. Musselman et al. 10.5194/tc-11-2847-2017
- Characterizing Maritime Snow Canopy Interception in Forested Mountains T. Roth & A. Nolin 10.1029/2018WR024089
- A 20-Year Ecotone Study of Pacific Northwest Mountain Forest Vulnerability to Changing Snow Conditions T. Lookingbill et al. 10.3390/land13040424
- Quantifying the early snowmelt event of 2015 in the Cascade Mountains, USA by developing and validating MODIS-based snowmelt timing maps D. O’Leary et al. 10.1007/s11707-018-0719-7
- New snow metrics for a warming world A. Nolin et al. 10.1002/hyp.14262
- The Influence of Cloudiness on Hydrologic Fluctuations in the Mountains of the Western United States E. Sumargo & D. Cayan 10.1029/2018WR022687
- Particle Filter Data Assimilation of Monthly Snow Depth Observations Improves Estimation of Snow Density and SWE E. Smyth et al. 10.1029/2018WR023400
- Spatial Variability in Seasonal Snowpack Trends across the Rio Grande Headwaters (1984–2017) G. Sexstone et al. 10.1175/JHM-D-20-0077.1
- The Challenges of Simulating SWE Beneath Forest Canopies are Reduced by Data Assimilation of Snow Depth E. Smyth et al. 10.1029/2021WR030563
- Improving SWE Estimation With Data Assimilation: The Influence of Snow Depth Observation Timing and Uncertainty E. Smyth et al. 10.1029/2019WR026853
- Estimating snow cover from high-resolution satellite imagery by thresholding blue wavelengths E. Thaler et al. 10.1016/j.rse.2022.113403
- Factorial inferential grid grouping and representativeness analysis for a systematic selection of representative grids G. Cheng et al. 10.1002/2017EA000297
- Snowpack Distribution Using Topographical, Climatological and Winter Season Index Inputs D. Hultstrand et al. 10.3390/atmos13010003
- A new method for establishing hydrologic fidelity of snow depth measurements based on snowmelt–runoff hydrographs D. Park & M. Markus 10.1080/02626667.2018.1438613
- Random forests as a tool to understand the snow depth distribution and its evolution in mountain areas J. Revuelto et al. 10.1002/hyp.13951
- Forest impacts on snow accumulation and ablation across an elevation gradient in a temperate montane environment T. Roth & A. Nolin 10.5194/hess-21-5427-2017
2 citations as recorded by crossref.
Latest update: 12 May 2025
Short summary
We present a coupled modeling approach used to objectively identify representative snow-monitoring locations in a forested watershed in the western Oregon Cascades mountain range. The resultant Forest Elevational Snow Transect (ForEST) represents combinations of forested and open land cover types at low, mid-, and high elevations.
We present a coupled modeling approach used to objectively identify representative...
