Snow albedo sensitivity to macroscopic surface roughness using a new ray-tracing model
Most models simulating snow albedo assume a flat and smooth surface, neglecting surface roughness. However, the presence of macroscopic roughness leads to a systematic decrease in albedo due to two effects: (1) photons are trapped in concavities (multiple reflection effect) and (2) when the sun is l...
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2020
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00051613 2023-05-15T18:32:33+02:00 Snow albedo sensitivity to macroscopic surface roughness using a new ray-tracing model Larue, Fanny Picard, Ghislain Arnaud, Laurent Ollivier, Inès Delcourt, Clément Lamare, Maxim Tuzet, François Revuelto, Jesus Dumont, Marie 2020-05 electronic https://doi.org/10.5194/tc-14-1651-2020 https://noa.gwlb.de/receive/cop_mods_00051613 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00051269/tc-14-1651-2020.pdf https://tc.copernicus.org/articles/14/1651/2020/tc-14-1651-2020.pdf eng eng Copernicus Publications The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-14-1651-2020 https://noa.gwlb.de/receive/cop_mods_00051613 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00051269/tc-14-1651-2020.pdf https://tc.copernicus.org/articles/14/1651/2020/tc-14-1651-2020.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2020 ftnonlinearchiv https://doi.org/10.5194/tc-14-1651-2020 2022-02-08T22:36:21Z Most models simulating snow albedo assume a flat and smooth surface, neglecting surface roughness. However, the presence of macroscopic roughness leads to a systematic decrease in albedo due to two effects: (1) photons are trapped in concavities (multiple reflection effect) and (2) when the sun is low, the roughness sides facing the sun experience an overall decrease in the local incidence angle relative to a smooth surface, promoting higher absorption, whilst the other sides have weak contributions because of the increased incidence angle or because they are shadowed (called the effective-angle effect here). This paper aims to quantify the impact of surface roughness on albedo and to assess the respective role of these two effects, with (1) observations over varying amounts of surface roughness and (2) simulations using the new rough surface ray-tracing (RSRT) model, based on a Monte Carlo method for photon transport calculation. The observations include spectral albedo (400–1050 nm) over manually created roughness surfaces with multiple geometrical characteristics. Measurements highlight that even a low fraction of surface roughness features (7 % of the surface) causes an albedo decrease of 0.02 at 1000 nm when the solar zenith angle (θs) is larger than 50∘. For higher fractions (13 %, 27 % and 63 %), and when the roughness orientation is perpendicular to the sun, the decrease is of 0.03–0.04 at 700 nm and of 0.06–0.10 at 1000 nm. The impact is 20 % lower when roughness orientation is parallel to the sun. The observations are subsequently compared to RSRT simulations. Accounting for surface roughness improves the model observation agreement by a factor of 2 at 700 and 1000 nm (errors of 0.03 and 0.04, respectively) compared to simulations considering a flat smooth surface. The model is used to explore the albedo sensitivity to surface roughness with varying snow properties and illumination conditions. Both multiple reflections and the effective-angle effect have a greater impact with low specific surface area (SSA; <10 m2 kg−1). The effective-angle effect also increases rapidly with θs at large θs. This latter effect is larger when the overall slope of the surface is facing away from the sun and has a roughness orientation perpendicular to the sun. For a snowpack where artificial surface roughness features were created, we showed that a broadband albedo decrease of 0.05 may cause an increase in the net shortwave radiation of 80 % (from 15 to 27 W m−2). This paper highlights the necessity of considering surface roughness in the estimation of the surface energy budget and opens the way for considering natural rough surfaces in snow modelling. Article in Journal/Newspaper The Cryosphere Niedersächsisches Online-Archiv NOA The Cryosphere 14 5 1651 1672 |
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article Verlagsveröffentlichung Larue, Fanny Picard, Ghislain Arnaud, Laurent Ollivier, Inès Delcourt, Clément Lamare, Maxim Tuzet, François Revuelto, Jesus Dumont, Marie Snow albedo sensitivity to macroscopic surface roughness using a new ray-tracing model |
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article Verlagsveröffentlichung |
description |
Most models simulating snow albedo assume a flat and smooth surface, neglecting surface roughness. However, the presence of macroscopic roughness leads to a systematic decrease in albedo due to two effects: (1) photons are trapped in concavities (multiple reflection effect) and (2) when the sun is low, the roughness sides facing the sun experience an overall decrease in the local incidence angle relative to a smooth surface, promoting higher absorption, whilst the other sides have weak contributions because of the increased incidence angle or because they are shadowed (called the effective-angle effect here). This paper aims to quantify the impact of surface roughness on albedo and to assess the respective role of these two effects, with (1) observations over varying amounts of surface roughness and (2) simulations using the new rough surface ray-tracing (RSRT) model, based on a Monte Carlo method for photon transport calculation. The observations include spectral albedo (400–1050 nm) over manually created roughness surfaces with multiple geometrical characteristics. Measurements highlight that even a low fraction of surface roughness features (7 % of the surface) causes an albedo decrease of 0.02 at 1000 nm when the solar zenith angle (θs) is larger than 50∘. For higher fractions (13 %, 27 % and 63 %), and when the roughness orientation is perpendicular to the sun, the decrease is of 0.03–0.04 at 700 nm and of 0.06–0.10 at 1000 nm. The impact is 20 % lower when roughness orientation is parallel to the sun. The observations are subsequently compared to RSRT simulations. Accounting for surface roughness improves the model observation agreement by a factor of 2 at 700 and 1000 nm (errors of 0.03 and 0.04, respectively) compared to simulations considering a flat smooth surface. The model is used to explore the albedo sensitivity to surface roughness with varying snow properties and illumination conditions. Both multiple reflections and the effective-angle effect have a greater impact with low specific surface area (SSA; <10 m2 kg−1). The effective-angle effect also increases rapidly with θs at large θs. This latter effect is larger when the overall slope of the surface is facing away from the sun and has a roughness orientation perpendicular to the sun. For a snowpack where artificial surface roughness features were created, we showed that a broadband albedo decrease of 0.05 may cause an increase in the net shortwave radiation of 80 % (from 15 to 27 W m−2). This paper highlights the necessity of considering surface roughness in the estimation of the surface energy budget and opens the way for considering natural rough surfaces in snow modelling. |
format |
Article in Journal/Newspaper |
author |
Larue, Fanny Picard, Ghislain Arnaud, Laurent Ollivier, Inès Delcourt, Clément Lamare, Maxim Tuzet, François Revuelto, Jesus Dumont, Marie |
author_facet |
Larue, Fanny Picard, Ghislain Arnaud, Laurent Ollivier, Inès Delcourt, Clément Lamare, Maxim Tuzet, François Revuelto, Jesus Dumont, Marie |
author_sort |
Larue, Fanny |
title |
Snow albedo sensitivity to macroscopic surface roughness using a new ray-tracing model |
title_short |
Snow albedo sensitivity to macroscopic surface roughness using a new ray-tracing model |
title_full |
Snow albedo sensitivity to macroscopic surface roughness using a new ray-tracing model |
title_fullStr |
Snow albedo sensitivity to macroscopic surface roughness using a new ray-tracing model |
title_full_unstemmed |
Snow albedo sensitivity to macroscopic surface roughness using a new ray-tracing model |
title_sort |
snow albedo sensitivity to macroscopic surface roughness using a new ray-tracing model |
publisher |
Copernicus Publications |
publishDate |
2020 |
url |
https://doi.org/10.5194/tc-14-1651-2020 https://noa.gwlb.de/receive/cop_mods_00051613 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00051269/tc-14-1651-2020.pdf https://tc.copernicus.org/articles/14/1651/2020/tc-14-1651-2020.pdf |
genre |
The Cryosphere |
genre_facet |
The Cryosphere |
op_relation |
The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-14-1651-2020 https://noa.gwlb.de/receive/cop_mods_00051613 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00051269/tc-14-1651-2020.pdf https://tc.copernicus.org/articles/14/1651/2020/tc-14-1651-2020.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/tc-14-1651-2020 |
container_title |
The Cryosphere |
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14 |
container_issue |
5 |
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1651 |
op_container_end_page |
1672 |
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