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

International audience 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) an...

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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
Other Authors: Institut des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2020
Subjects:
Online Access:https://hal.science/hal-02944401
https://hal.science/hal-02944401/document
https://hal.science/hal-02944401/file/tc-14-1651-2020.pdf
https://doi.org/10.5194/tc-14-1651-2020
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author Larue, Fanny
Picard, Ghislain
Arnaud, Laurent
Ollivier, Inès
Delcourt, Clément
Lamare, Maxim
Tuzet, François
Revuelto, Jesus
Dumont, Marie
author2 Institut des Géosciences de l’Environnement (IGE)
Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )
Université Grenoble Alpes (UGA)
Centre national de recherches météorologiques (CNRM)
Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP)
Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3)
Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3)
Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)
author_facet Larue, Fanny
Picard, Ghislain
Arnaud, Laurent
Ollivier, Inès
Delcourt, Clément
Lamare, Maxim
Tuzet, François
Revuelto, Jesus
Dumont, Marie
author_sort Larue, Fanny
collection Université de Nantes: HAL-UNIV-NANTES
container_issue 5
container_start_page 1651
container_title The Cryosphere
container_volume 14
description International audience 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 (θ 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 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 ...
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spelling ftunivnantes:oai:HAL:hal-02944401v1 2025-01-17T01:05:43+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 Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ) Université Grenoble Alpes (UGA) Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS) 2020 https://hal.science/hal-02944401 https://hal.science/hal-02944401/document https://hal.science/hal-02944401/file/tc-14-1651-2020.pdf https://doi.org/10.5194/tc-14-1651-2020 en eng HAL CCSD Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-14-1651-2020 hal-02944401 https://hal.science/hal-02944401 https://hal.science/hal-02944401/document https://hal.science/hal-02944401/file/tc-14-1651-2020.pdf doi:10.5194/tc-14-1651-2020 http://creativecommons.org/licenses/by-nd/ info:eu-repo/semantics/OpenAccess CC-BY-ND ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-02944401 The Cryosphere, 2020, 14 (5), pp.1651-1672. ⟨10.5194/tc-14-1651-2020⟩ [SDU.OTHER]Sciences of the Universe [physics]/Other info:eu-repo/semantics/article Journal articles 2020 ftunivnantes https://doi.org/10.5194/tc-14-1651-2020 2023-03-01T03:00:42Z International audience 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 (θ 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 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 ... Article in Journal/Newspaper The Cryosphere Université de Nantes: HAL-UNIV-NANTES The Cryosphere 14 5 1651 1672
spellingShingle [SDU.OTHER]Sciences of the Universe [physics]/Other
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
title 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_short 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
topic [SDU.OTHER]Sciences of the Universe [physics]/Other
topic_facet [SDU.OTHER]Sciences of the Universe [physics]/Other
url https://hal.science/hal-02944401
https://hal.science/hal-02944401/document
https://hal.science/hal-02944401/file/tc-14-1651-2020.pdf
https://doi.org/10.5194/tc-14-1651-2020