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Correcting for Systematic Underestimation of Topographic Glacier Aerodynamic Roughness Values From Hintereisferner, Austria

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Correcting for Systematic Underestimation of Topographic Glacier Aerodynamic Roughness Values From Hintereisferner, Austria. / Chambers, J.R.; Smith, M.W.; Smith, T. et al.
In: Frontiers in Earth Science, Vol. 9, 691195, 28.05.2021.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Chambers, JR, Smith, MW, Smith, T, Sailer, R, Quincey, DJ, Carrivick, JL, Nicholson, L, Mertes, J, Stiperski, I & James, MR 2021, 'Correcting for Systematic Underestimation of Topographic Glacier Aerodynamic Roughness Values From Hintereisferner, Austria', Frontiers in Earth Science, vol. 9, 691195. https://doi.org/10.3389/feart.2021.691195

APA

Chambers, J. R., Smith, M. W., Smith, T., Sailer, R., Quincey, D. J., Carrivick, J. L., Nicholson, L., Mertes, J., Stiperski, I., & James, M. R. (2021). Correcting for Systematic Underestimation of Topographic Glacier Aerodynamic Roughness Values From Hintereisferner, Austria. Frontiers in Earth Science, 9, Article 691195. https://doi.org/10.3389/feart.2021.691195

Vancouver

Chambers JR, Smith MW, Smith T, Sailer R, Quincey DJ, Carrivick JL et al. Correcting for Systematic Underestimation of Topographic Glacier Aerodynamic Roughness Values From Hintereisferner, Austria. Frontiers in Earth Science. 2021 May 28;9:691195. doi: 10.3389/feart.2021.691195

Author

Chambers, J.R. ; Smith, M.W. ; Smith, T. et al. / Correcting for Systematic Underestimation of Topographic Glacier Aerodynamic Roughness Values From Hintereisferner, Austria. In: Frontiers in Earth Science. 2021 ; Vol. 9.

Bibtex

@article{5753baae82824b988bea743c0fe2380d,
title = "Correcting for Systematic Underestimation of Topographic Glacier Aerodynamic Roughness Values From Hintereisferner, Austria",
abstract = "Spatially-distributed values of glacier aerodynamic roughness (z0) are vital for robust estimates of turbulent energy fluxes and ice and snow melt. Microtopographic data allow rapid estimates of z0 over discrete plot-scale areas, but are sensitive to data scale and resolution. Here, we use an extensive multi-scale dataset from Hintereisferner, Austria, to develop a correction factor to derive z0 values from coarse resolution (up to 30 m) topographic data that are more commonly available over larger areas. Resulting z0 estimates are within an order of magnitude of previously validated, plot-scale estimates and aerodynamic values. The method is developed and tested using plot-scale microtopography data generated by structure from motion photogrammetry combined with glacier-scale data acquired by a permanent in-situ terrestrial laser scanner. Finally, we demonstrate the application of the method to a regional-scale digital elevation model acquired by airborne laser scanning. Our workflow opens up the possibility of including spatio-temporal variations of z0 within glacier surface energy balance models without the need for extensive additional field data collection.",
keywords = "aerodynamic roughness, glacier, structure from motion, terrestrial laser scanning, z0",
author = "J.R. Chambers and M.W. Smith and T. Smith and R. Sailer and D.J. Quincey and J.L. Carrivick and L. Nicholson and J. Mertes and I. Stiperski and M.R. James",
year = "2021",
month = may,
day = "28",
doi = "10.3389/feart.2021.691195",
language = "English",
volume = "9",
journal = "Frontiers in Earth Science",
issn = "2296-6463",
publisher = "Frontiers Research Foundation",

}

RIS

TY - JOUR

T1 - Correcting for Systematic Underestimation of Topographic Glacier Aerodynamic Roughness Values From Hintereisferner, Austria

AU - Chambers, J.R.

AU - Smith, M.W.

AU - Smith, T.

AU - Sailer, R.

AU - Quincey, D.J.

AU - Carrivick, J.L.

AU - Nicholson, L.

AU - Mertes, J.

AU - Stiperski, I.

AU - James, M.R.

PY - 2021/5/28

Y1 - 2021/5/28

N2 - Spatially-distributed values of glacier aerodynamic roughness (z0) are vital for robust estimates of turbulent energy fluxes and ice and snow melt. Microtopographic data allow rapid estimates of z0 over discrete plot-scale areas, but are sensitive to data scale and resolution. Here, we use an extensive multi-scale dataset from Hintereisferner, Austria, to develop a correction factor to derive z0 values from coarse resolution (up to 30 m) topographic data that are more commonly available over larger areas. Resulting z0 estimates are within an order of magnitude of previously validated, plot-scale estimates and aerodynamic values. The method is developed and tested using plot-scale microtopography data generated by structure from motion photogrammetry combined with glacier-scale data acquired by a permanent in-situ terrestrial laser scanner. Finally, we demonstrate the application of the method to a regional-scale digital elevation model acquired by airborne laser scanning. Our workflow opens up the possibility of including spatio-temporal variations of z0 within glacier surface energy balance models without the need for extensive additional field data collection.

AB - Spatially-distributed values of glacier aerodynamic roughness (z0) are vital for robust estimates of turbulent energy fluxes and ice and snow melt. Microtopographic data allow rapid estimates of z0 over discrete plot-scale areas, but are sensitive to data scale and resolution. Here, we use an extensive multi-scale dataset from Hintereisferner, Austria, to develop a correction factor to derive z0 values from coarse resolution (up to 30 m) topographic data that are more commonly available over larger areas. Resulting z0 estimates are within an order of magnitude of previously validated, plot-scale estimates and aerodynamic values. The method is developed and tested using plot-scale microtopography data generated by structure from motion photogrammetry combined with glacier-scale data acquired by a permanent in-situ terrestrial laser scanner. Finally, we demonstrate the application of the method to a regional-scale digital elevation model acquired by airborne laser scanning. Our workflow opens up the possibility of including spatio-temporal variations of z0 within glacier surface energy balance models without the need for extensive additional field data collection.

KW - aerodynamic roughness

KW - glacier

KW - structure from motion

KW - terrestrial laser scanning

KW - z0

U2 - 10.3389/feart.2021.691195

DO - 10.3389/feart.2021.691195

M3 - Journal article

VL - 9

JO - Frontiers in Earth Science

JF - Frontiers in Earth Science

SN - 2296-6463

M1 - 691195

ER -