Snow albedo sensitivity to macroscopic surface roughness using a new ray tracing model

Abstract. 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...

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Published in:The Cryosphere
Main Authors: Larue, Fanny, Picard, Ghislain, Arnaud, Laurent, Ollivier, Inès, Delcourt, Clément, Lamare, Maxim, Tuzet, François, Revuelto, Jesus, Dumont, Marie
Format: Article in Journal/Newspaper
Language:English
Published: 2020
Subjects:
Online Access:https://research.vu.nl/en/publications/c5424c07-5b9c-4257-a8b2-4b103919313c
https://doi.org/10.5194/tc-14-1651-2020
https://hdl.handle.net/1871.1/c5424c07-5b9c-4257-a8b2-4b103919313c
https://www.mendeley.com/catalogue/3569f3b0-2c55-3a02-b3a7-57e5118e4f9a/
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spelling ftvuamstcris:oai:research.vu.nl:publications/c5424c07-5b9c-4257-a8b2-4b103919313c 2024-10-20T14:12:00+00:00 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 2020-05-27 https://research.vu.nl/en/publications/c5424c07-5b9c-4257-a8b2-4b103919313c https://doi.org/10.5194/tc-14-1651-2020 https://hdl.handle.net/1871.1/c5424c07-5b9c-4257-a8b2-4b103919313c https://www.mendeley.com/catalogue/3569f3b0-2c55-3a02-b3a7-57e5118e4f9a/ eng eng info:eu-repo/semantics/openAccess Larue , F , Picard , G , Arnaud , L , Ollivier , I , Delcourt , C , Lamare , M , Tuzet , F , Revuelto , J & Dumont , M 2020 , ' Snow albedo sensitivity to macroscopic surface roughness using a new ray tracing model ' , The Cryosphere , vol. 14 , no. 5 , pp. 1-26 . https://doi.org/10.5194/tc-14-1651-2020 article 2020 ftvuamstcris https://doi.org/10.5194/tc-14-1651-2020 2024-10-03T00:23:17Z Abstract. 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 incident angle relative to a smooth surface, promoting higher absorption, whilst the other sides has weak contributions because of the increased incident 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 Tracer (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 ( Ө s ) 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 two at 700 nm 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 more impact with low SSA (2 kg −1 ). ... Article in Journal/Newspaper The Cryosphere Vrije Universiteit Amsterdam (VU): Research Portal The Cryosphere 14 5 1651 1672
institution Open Polar
collection Vrije Universiteit Amsterdam (VU): Research Portal
op_collection_id ftvuamstcris
language English
description Abstract. 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 incident angle relative to a smooth surface, promoting higher absorption, whilst the other sides has weak contributions because of the increased incident 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 Tracer (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 ( Ө s ) 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 two at 700 nm 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 more impact with low SSA (2 kg −1 ). ...
format Article in Journal/Newspaper
author Larue, Fanny
Picard, Ghislain
Arnaud, Laurent
Ollivier, Inès
Delcourt, Clément
Lamare, Maxim
Tuzet, François
Revuelto, Jesus
Dumont, Marie
spellingShingle 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
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
publishDate 2020
url https://research.vu.nl/en/publications/c5424c07-5b9c-4257-a8b2-4b103919313c
https://doi.org/10.5194/tc-14-1651-2020
https://hdl.handle.net/1871.1/c5424c07-5b9c-4257-a8b2-4b103919313c
https://www.mendeley.com/catalogue/3569f3b0-2c55-3a02-b3a7-57e5118e4f9a/
genre The Cryosphere
genre_facet The Cryosphere
op_source Larue , F , Picard , G , Arnaud , L , Ollivier , I , Delcourt , C , Lamare , M , Tuzet , F , Revuelto , J & Dumont , M 2020 , ' Snow albedo sensitivity to macroscopic surface roughness using a new ray tracing model ' , The Cryosphere , vol. 14 , no. 5 , pp. 1-26 . https://doi.org/10.5194/tc-14-1651-2020
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5194/tc-14-1651-2020
container_title The Cryosphere
container_volume 14
container_issue 5
container_start_page 1651
op_container_end_page 1672
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