Articles | Volume 9, issue 3
https://doi.org/10.5194/tc-9-1249-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-9-1249-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
19 Jun 2015
Research article |
| 19 Jun 2015
Theoretical analysis of errors when estimating snow distribution through point measurements
School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
M. Lehning
School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
Viewed
Total article views: 3,995 (including HTML, PDF, and XML)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,004 | 1,806 | 185 | 3,995 | 544 | 196 | 204 |
- HTML: 2,004
- PDF: 1,806
- XML: 185
- Total: 3,995
- Supplement: 544
- BibTeX: 196
- EndNote: 204
Cumulative views and downloads
(calculated since 05 Jan 2015)
Total article views: 3,112 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Jun 2015)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,487 | 1,458 | 167 | 3,112 | 308 | 174 | 183 |
- HTML: 1,487
- PDF: 1,458
- XML: 167
- Total: 3,112
- Supplement: 308
- BibTeX: 174
- EndNote: 183
Total article views: 883 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 05 Jan 2015)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 517 | 348 | 18 | 883 | 22 | 21 |
- HTML: 517
- PDF: 348
- XML: 18
- Total: 883
- BibTeX: 22
- EndNote: 21
Cited
14 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
- Effect of snow microstructure variability on Ku-band radar snow water equivalent retrievals N. Rutter et al. 10.5194/tc-13-3045-2019
- Design of a scanning laser meter for monitoring the spatio-temporal evolution of snow depth and its application in the Alps and in Antarctica G. Picard et al. 10.5194/tc-10-1495-2016
- A plot-scale study of firn stratigraphy at Lomonosovfonna, Svalbard, using ice cores, borehole video and GPR surveys in 2012–14 S. MARCHENKO et al. 10.1017/jog.2016.118
- Spatial and temporal variation of bulk snow properties in northern boreal and tundra environments based on extensive field measurements H. Hannula et al. 10.5194/gi-5-347-2016
- Improving Snow Analyses for Hydrological Forecasting at ECCC Using Satellite-Derived Data C. Garnaud et al. 10.3390/rs13245022
- Operational water forecast ability of the HRRR-iSnobal combination: an evaluation to adapt into production environments J. Meyer et al. 10.5194/gmd-16-233-2023
- Advancing terrestrial snow depth monitoring with machine learning and L-band InSAR data: a case study using NASA’s SnowEx 2017 data I. Alabi et al. 10.3389/frsen.2024.1481848
- Estimating winter balance and its uncertainty from direct measurements of snow depth and density on alpine glaciers A. PULWICKI et al. 10.1017/jog.2018.68
- A low-cost method for monitoring snow characteristics at remote field sites R. Tutton & R. Way 10.5194/tc-15-1-2021
- Single‐Column Validation of a Snow Subgrid Parameterization in the Rapid Update Cycle Land‐Surface Model (RUC LSM) S. He et al. 10.1029/2021WR029955
- Spatio-temporal variability of surface mass balance in the accumulation zone of the Mer de Glace, French Alps, from multitemporal terrestrial LiDAR measurements M. Réveillet et al. 10.1017/jog.2020.92
- Snowfall and snow accumulation during the MOSAiC winter and spring seasons D. Wagner et al. 10.5194/tc-16-2373-2022
- Optimizing embedded sensor network design for catchment-scale snow-depth estimation using LiDAR and machine learning C. Oroza et al. 10.1002/2016WR018896
14 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
- Effect of snow microstructure variability on Ku-band radar snow water equivalent retrievals N. Rutter et al. 10.5194/tc-13-3045-2019
- Design of a scanning laser meter for monitoring the spatio-temporal evolution of snow depth and its application in the Alps and in Antarctica G. Picard et al. 10.5194/tc-10-1495-2016
- A plot-scale study of firn stratigraphy at Lomonosovfonna, Svalbard, using ice cores, borehole video and GPR surveys in 2012–14 S. MARCHENKO et al. 10.1017/jog.2016.118
- Spatial and temporal variation of bulk snow properties in northern boreal and tundra environments based on extensive field measurements H. Hannula et al. 10.5194/gi-5-347-2016
- Improving Snow Analyses for Hydrological Forecasting at ECCC Using Satellite-Derived Data C. Garnaud et al. 10.3390/rs13245022
- Operational water forecast ability of the HRRR-iSnobal combination: an evaluation to adapt into production environments J. Meyer et al. 10.5194/gmd-16-233-2023
- Advancing terrestrial snow depth monitoring with machine learning and L-band InSAR data: a case study using NASA’s SnowEx 2017 data I. Alabi et al. 10.3389/frsen.2024.1481848
- Estimating winter balance and its uncertainty from direct measurements of snow depth and density on alpine glaciers A. PULWICKI et al. 10.1017/jog.2018.68
- A low-cost method for monitoring snow characteristics at remote field sites R. Tutton & R. Way 10.5194/tc-15-1-2021
- Single‐Column Validation of a Snow Subgrid Parameterization in the Rapid Update Cycle Land‐Surface Model (RUC LSM) S. He et al. 10.1029/2021WR029955
- Spatio-temporal variability of surface mass balance in the accumulation zone of the Mer de Glace, French Alps, from multitemporal terrestrial LiDAR measurements M. Réveillet et al. 10.1017/jog.2020.92
- Snowfall and snow accumulation during the MOSAiC winter and spring seasons D. Wagner et al. 10.5194/tc-16-2373-2022
- Optimizing embedded sensor network design for catchment-scale snow-depth estimation using LiDAR and machine learning C. Oroza et al. 10.1002/2016WR018896
Saved (final revised paper)
Saved (preprint)
Latest update: 18 Jun 2025
Short summary
In this article, we present a methodology for the objective evaluation of the error in capturing mean snow depths from point measurements. We demonstrate, using LIDAR snow depths, how the model can be used for assisting the design of survey strategies such that the error is minimized or an estimation threshold is achieved. Furthermore, the model can be extended to other spatially distributed snow variables (e.g., SWE) whose statistical properties are comparable to those of snow depth.
In this article, we present a methodology for the objective evaluation of the error in capturing...
