Estimating underwater light regime under spatially heterogeneous sea ice in the Arctic

Abstract: The vertical diffuse attenuation coefficient for downward plane irradiance (Kd ) is an apparent optical property commonly used in primary production models to propagate incident solar radiation in the water column. In open water, estimating Kd is relatively straightforward when a vertical...

Full description

Bibliographic Details
Published in:Applied Sciences
Main Authors: Massicotte, Philippe, Babin, Marcel, Bécu, Guislain, Lambert Girard, Simon, Leymarie, Edouard
Format: Article in Journal/Newspaper
Language:English
Published: 2018
Subjects:
geo
Online Access:https://hdl.handle.net/20.500.11794/34896
https://doi.org/10.3390/app8122693
id fttriple:oai:gotriple.eu:http://hdl.handle.net/20.500.11794/34896
record_format openpolar
spelling fttriple:oai:gotriple.eu:http://hdl.handle.net/20.500.11794/34896 2023-05-15T14:58:41+02:00 Estimating underwater light regime under spatially heterogeneous sea ice in the Arctic Massicotte, Philippe Babin, Marcel Bécu, Guislain Lambert Girard, Simon Leymarie, Edouard Arctique 2018-12-19 https://hdl.handle.net/20.500.11794/34896 https://doi.org/10.3390/app8122693 en eng http://hdl.handle.net/20.500.11794/34896 http://dx.doi.org/10.3390/app8122693 other CorpusUL geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2018 fttriple https://doi.org/20.500.11794/34896 https://doi.org/10.3390/app8122693 2023-01-22T17:19:20Z Abstract: The vertical diffuse attenuation coefficient for downward plane irradiance (Kd ) is an apparent optical property commonly used in primary production models to propagate incident solar radiation in the water column. In open water, estimating Kd is relatively straightforward when a vertical profile of measurements of downward irradiance, Ed, is available. In the Arctic, the ice pack is characterized by a complex mosaic composed of sea ice with snow, ridges, melt ponds, and leads. Due to the resulting spatially heterogeneous light field in the top meters of the water column, it is difficult to measure at single-point locations meaningful Kd values that allow predicting average irradiance at any depth. The main objective of this work is to propose a new method to estimate average irradiance over large spatially heterogeneous area as it would be seen by drifting phytoplankton. Using both in situ data and 3D Monte Carlo numerical simulations of radiative transfer, we show that (1) the large-area average vertical profile of downward irradiance, Ed(z), under heterogeneous sea ice cover can be represented by a single-term exponential function and (2) the vertical attenuation coefficient for upward radiance (KLu), which is up to two times less influenced by a heterogeneous incident light field than Kd in the vicinity of a melt pond, can be used as a proxy to estimate Ed(z) in the water column. Article in Journal/Newspaper Arctic Arctique* ice pack Phytoplankton Sea ice Unknown Arctic Applied Sciences 8 12 2693
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic geo
envir
spellingShingle geo
envir
Massicotte, Philippe
Babin, Marcel
Bécu, Guislain
Lambert Girard, Simon
Leymarie, Edouard
Estimating underwater light regime under spatially heterogeneous sea ice in the Arctic
topic_facet geo
envir
description Abstract: The vertical diffuse attenuation coefficient for downward plane irradiance (Kd ) is an apparent optical property commonly used in primary production models to propagate incident solar radiation in the water column. In open water, estimating Kd is relatively straightforward when a vertical profile of measurements of downward irradiance, Ed, is available. In the Arctic, the ice pack is characterized by a complex mosaic composed of sea ice with snow, ridges, melt ponds, and leads. Due to the resulting spatially heterogeneous light field in the top meters of the water column, it is difficult to measure at single-point locations meaningful Kd values that allow predicting average irradiance at any depth. The main objective of this work is to propose a new method to estimate average irradiance over large spatially heterogeneous area as it would be seen by drifting phytoplankton. Using both in situ data and 3D Monte Carlo numerical simulations of radiative transfer, we show that (1) the large-area average vertical profile of downward irradiance, Ed(z), under heterogeneous sea ice cover can be represented by a single-term exponential function and (2) the vertical attenuation coefficient for upward radiance (KLu), which is up to two times less influenced by a heterogeneous incident light field than Kd in the vicinity of a melt pond, can be used as a proxy to estimate Ed(z) in the water column.
format Article in Journal/Newspaper
author Massicotte, Philippe
Babin, Marcel
Bécu, Guislain
Lambert Girard, Simon
Leymarie, Edouard
author_facet Massicotte, Philippe
Babin, Marcel
Bécu, Guislain
Lambert Girard, Simon
Leymarie, Edouard
author_sort Massicotte, Philippe
title Estimating underwater light regime under spatially heterogeneous sea ice in the Arctic
title_short Estimating underwater light regime under spatially heterogeneous sea ice in the Arctic
title_full Estimating underwater light regime under spatially heterogeneous sea ice in the Arctic
title_fullStr Estimating underwater light regime under spatially heterogeneous sea ice in the Arctic
title_full_unstemmed Estimating underwater light regime under spatially heterogeneous sea ice in the Arctic
title_sort estimating underwater light regime under spatially heterogeneous sea ice in the arctic
publishDate 2018
url https://hdl.handle.net/20.500.11794/34896
https://doi.org/10.3390/app8122693
op_coverage Arctique
geographic Arctic
geographic_facet Arctic
genre Arctic
Arctique*
ice pack
Phytoplankton
Sea ice
genre_facet Arctic
Arctique*
ice pack
Phytoplankton
Sea ice
op_source CorpusUL
op_relation http://hdl.handle.net/20.500.11794/34896
http://dx.doi.org/10.3390/app8122693
op_rights other
op_doi https://doi.org/20.500.11794/34896
https://doi.org/10.3390/app8122693
container_title Applied Sciences
container_volume 8
container_issue 12
container_start_page 2693
_version_ 1766330809187303424