Articles | Volume 8, issue 12
https://doi.org/10.5194/gmd-8-3911-2015
© 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/gmd-8-3911-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Methods for assessment of models
| 
10 Dec 2015
Methods for assessment of models |
| 10 Dec 2015
Assessing the uncertainty of glacier mass-balance simulations in the European Arctic based on variance decomposition
T. Sauter
CORRESPONDING AUTHOR
Institute of Meteorology and Geophysics, University of Innsbruck, Innsbruck, Austria
Institute of Geography, University of Erlangen-Nürnberg, Erlangen, Germany
F. Obleitner
Institute of Meteorology and Geophysics, University of Innsbruck, Innsbruck, Austria
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Cited
23 citations as recorded by crossref.
- Integrating Models and Remote Sensing Data for Distributed Glacier Mass Balance Estimation I. Podsiadlo et al. 10.1109/JSTARS.2020.3028653
- The surface energy balance of Austre Lovénbreen, Svalbard, during the ablation period in 2014 X. Zou et al. 10.33265/polar.v40.5318
- Forcing the SURFEX/Crocus snow model with combined hourly meteorological forecasts and gridded observations in southern Norway H. Luijting et al. 10.5194/tc-12-2123-2018
- Impact of Extreme Land Surface Heterogeneity on Micrometeorology over Spring Snow Cover R. Mott et al. 10.1175/JHM-D-17-0074.1
- On the energy budget of a low-Arctic snowpack G. Lackner et al. 10.5194/tc-16-127-2022
- A multiphysical ensemble system of numerical snow modelling M. Lafaysse et al. 10.5194/tc-11-1173-2017
- Snow and meteorological conditions at Villum Research Station, Northeast Greenland: on the adequacy of using atmospheric reanalysis for detailed snow simulations D. Krampe et al. 10.3389/feart.2023.1053918
- COSIPY v1.3 – an open-source coupled snowpack and ice surface energy and mass balance model T. Sauter et al. 10.5194/gmd-13-5645-2020
- Relative performance of empirical and physical models in assessing the seasonal and annual glacier surface mass balance of Saint-Sorlin Glacier (French Alps) M. Réveillet et al. 10.5194/tc-12-1367-2018
- Satellite-derived products of solar and longwave irradiances used for snowpack modelling in mountainous terrain L. Quéno et al. 10.5194/hess-24-2083-2020
- Sensitivity of modeled snow stability data to meteorological input uncertainty B. Richter et al. 10.5194/nhess-20-2873-2020
- Parsimonious Random-Forest-Based Land-Use Regression Model Using Particulate Matter Sensors in Berlin, Germany J. Venkatraman Jagatha et al. 10.3390/s24134193
- Deposition of ionic species and black carbon to the Arctic snowpack: combining snow pit observations with modeling H. Jacobi et al. 10.5194/acp-19-10361-2019
- The latest improvements with SURFEX v8.0 of the Safran–Isba–Modcou hydrometeorological model for France P. Le Moigne et al. 10.5194/gmd-13-3925-2020
- A long-term mass-balance reconstruction (1974–2021) and a decadal in situ mass-balance record (2011–2021) of Rikha Samba Glacier, central Himalaya T. Gurung et al. 10.1017/jog.2022.93
- Insights from the first winter weather observations near Mount Everest's summit T. Sherpa et al. 10.1002/wea.4374
- Uncertainties in Snowpack Simulations—Assessing the Impact of Model Structure, Parameter Choice, and Forcing Data Error on Point‐Scale Energy Balance Snow Model Performance D. Günther et al. 10.1029/2018WR023403
- Robust uncertainty assessment of the spatio-temporal transferability of glacier mass and energy balance models T. Zolles et al. 10.5194/tc-13-469-2019
- Sensitivity of the Greenland surface mass and energy balance to uncertainties in key model parameters T. Zolles & A. Born 10.5194/tc-15-2917-2021
- 57 years (1960–2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m of altitude) Y. Lejeune et al. 10.5194/essd-11-71-2019
- Exploring the impact of forcing error characteristics on physically based snow simulations within a global sensitivity analysis framework M. Raleigh et al. 10.5194/hess-19-3153-2015
- Glacier ablation and temperature indexed melt models in the Nepalese Himalaya M. Litt et al. 10.1038/s41598-019-41657-5
- Model complexity and data requirements in snow hydrology: seeking a balance in practical applications F. Avanzi et al. 10.1002/hyp.10782
20 citations as recorded by crossref.
- Integrating Models and Remote Sensing Data for Distributed Glacier Mass Balance Estimation I. Podsiadlo et al. 10.1109/JSTARS.2020.3028653
- The surface energy balance of Austre Lovénbreen, Svalbard, during the ablation period in 2014 X. Zou et al. 10.33265/polar.v40.5318
- Forcing the SURFEX/Crocus snow model with combined hourly meteorological forecasts and gridded observations in southern Norway H. Luijting et al. 10.5194/tc-12-2123-2018
- Impact of Extreme Land Surface Heterogeneity on Micrometeorology over Spring Snow Cover R. Mott et al. 10.1175/JHM-D-17-0074.1
- On the energy budget of a low-Arctic snowpack G. Lackner et al. 10.5194/tc-16-127-2022
- A multiphysical ensemble system of numerical snow modelling M. Lafaysse et al. 10.5194/tc-11-1173-2017
- Snow and meteorological conditions at Villum Research Station, Northeast Greenland: on the adequacy of using atmospheric reanalysis for detailed snow simulations D. Krampe et al. 10.3389/feart.2023.1053918
- COSIPY v1.3 – an open-source coupled snowpack and ice surface energy and mass balance model T. Sauter et al. 10.5194/gmd-13-5645-2020
- Relative performance of empirical and physical models in assessing the seasonal and annual glacier surface mass balance of Saint-Sorlin Glacier (French Alps) M. Réveillet et al. 10.5194/tc-12-1367-2018
- Satellite-derived products of solar and longwave irradiances used for snowpack modelling in mountainous terrain L. Quéno et al. 10.5194/hess-24-2083-2020
- Sensitivity of modeled snow stability data to meteorological input uncertainty B. Richter et al. 10.5194/nhess-20-2873-2020
- Parsimonious Random-Forest-Based Land-Use Regression Model Using Particulate Matter Sensors in Berlin, Germany J. Venkatraman Jagatha et al. 10.3390/s24134193
- Deposition of ionic species and black carbon to the Arctic snowpack: combining snow pit observations with modeling H. Jacobi et al. 10.5194/acp-19-10361-2019
- The latest improvements with SURFEX v8.0 of the Safran–Isba–Modcou hydrometeorological model for France P. Le Moigne et al. 10.5194/gmd-13-3925-2020
- A long-term mass-balance reconstruction (1974–2021) and a decadal in situ mass-balance record (2011–2021) of Rikha Samba Glacier, central Himalaya T. Gurung et al. 10.1017/jog.2022.93
- Insights from the first winter weather observations near Mount Everest's summit T. Sherpa et al. 10.1002/wea.4374
- Uncertainties in Snowpack Simulations—Assessing the Impact of Model Structure, Parameter Choice, and Forcing Data Error on Point‐Scale Energy Balance Snow Model Performance D. Günther et al. 10.1029/2018WR023403
- Robust uncertainty assessment of the spatio-temporal transferability of glacier mass and energy balance models T. Zolles et al. 10.5194/tc-13-469-2019
- Sensitivity of the Greenland surface mass and energy balance to uncertainties in key model parameters T. Zolles & A. Born 10.5194/tc-15-2917-2021
- 57 years (1960–2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m of altitude) Y. Lejeune et al. 10.5194/essd-11-71-2019
3 citations as recorded by crossref.
- Exploring the impact of forcing error characteristics on physically based snow simulations within a global sensitivity analysis framework M. Raleigh et al. 10.5194/hess-19-3153-2015
- Glacier ablation and temperature indexed melt models in the Nepalese Himalaya M. Litt et al. 10.1038/s41598-019-41657-5
- Model complexity and data requirements in snow hydrology: seeking a balance in practical applications F. Avanzi et al. 10.1002/hyp.10782
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Latest update: 08 Nov 2024
Short summary
Even small errors in observational data can have a profound effect on snowpack simulations, which dilutes our confidence in the results. This paper aims at quantification of the overall contributions of these errors on the uncertainty of snowpack simulations in Arctic environments. The analysis demonstrates that the uncertainties in the data can have a profound impact on glacier mass balance estimates.
Even small errors in observational data can have a profound effect on snowpack simulations,...
