Average cosine coefficient and spectral distribution of the light field under sea ice: Implications for primary production

The Arctic spring phytoplankton bloom has been reported to commence under a melting sea ice cover as transmission of photosynthetically active radiation (PAR; 400–700 nm) suddenly increases with the formation of surface melt ponds. Spatial variability in ice surface characteristics, i.e., snow thick...

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Published in:Elementa: Science of the Anthropocene
Main Authors: Matthes, L. C., Ehn, J. K., L.-Girard, S., Pogorzelec, N. M., Babin, M., Mundy, C. J.
Other Authors: Deming, Jody W., Arrigo, Kevin
Format: Article in Journal/Newspaper
Language:English
Published: University of California Press 2019
Subjects:
Online Access:http://dx.doi.org/10.1525/elementa.363
https://online.ucpress.edu/elementa/article-pdf/doi/10.1525/elementa.363/434848/363-6212-3-pb.pdf
id crunicaliforniap:10.1525/elementa.363
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spelling crunicaliforniap:10.1525/elementa.363 2024-04-07T07:50:43+00:00 Average cosine coefficient and spectral distribution of the light field under sea ice: Implications for primary production Matthes, L. C. Ehn, J. K. L.-Girard, S. Pogorzelec, N. M. Babin, M. Mundy, C. J. Deming, Jody W. Arrigo, Kevin 2019 http://dx.doi.org/10.1525/elementa.363 https://online.ucpress.edu/elementa/article-pdf/doi/10.1525/elementa.363/434848/363-6212-3-pb.pdf en eng University of California Press http://creativecommons.org/licenses/by/4.0/ Elementa: Science of the Anthropocene volume 7 ISSN 2325-1026 Atmospheric Science Geology Geotechnical Engineering and Engineering Geology Ecology Environmental Engineering Oceanography journal-article 2019 crunicaliforniap https://doi.org/10.1525/elementa.363 2024-03-08T03:46:43Z The Arctic spring phytoplankton bloom has been reported to commence under a melting sea ice cover as transmission of photosynthetically active radiation (PAR; 400–700 nm) suddenly increases with the formation of surface melt ponds. Spatial variability in ice surface characteristics, i.e., snow thickness or melt pond distributions, and subsequent impact on transmitted PAR makes estimating light-limited primary production difficult during this time of year. Added to this difficulty is the interpretation of data from various sensor types, including hyperspectral, multispectral, and PAR-band irradiance sensors, with either cosine-corrected (planar) or spherical (scalar) sensor heads. To quantify the impact of the heterogeneous radiation field under sea ice, spectral irradiance profiles were collected beneath landfast sea ice during the Green Edge ice-camp campaigns in May–June 2015 and June–July 2016. Differences between PAR measurements are described using the downwelling average cosine, μd, a measure of the degree of anisotropy of the downwelling underwater radiation field which, in practice, can be used to convert between downwelling scalar, E0d, and planar, Ed, irradiance. A significantly smallerμd(PAR) was measured prior to snow melt compared to after (0.6 vs. 0.7) when melt ponds covered the ice surface. The impact of the average cosine on primary production estimates, shown in the calculation of depth-integrated daily production, was 16% larger under light-limiting conditions when E0d was used instead of Ed. Under light-saturating conditions, daily production was only 3% larger. Conversion of underwater irradiance data also plays a role in the ratio of total quanta to total energy (EQ/EW, found to be 4.25), which reflects the spectral shape of the under-ice light field. We use these observations to provide factors for converting irradiance measurements between irradiance detector types and units as a function of surface type and depth under sea ice, towards improving primary production estimates. Article in Journal/Newspaper Arctic Phytoplankton Sea ice University of California Press Arctic Elementa: Science of the Anthropocene 7
institution Open Polar
collection University of California Press
op_collection_id crunicaliforniap
language English
topic Atmospheric Science
Geology
Geotechnical Engineering and Engineering Geology
Ecology
Environmental Engineering
Oceanography
spellingShingle Atmospheric Science
Geology
Geotechnical Engineering and Engineering Geology
Ecology
Environmental Engineering
Oceanography
Matthes, L. C.
Ehn, J. K.
L.-Girard, S.
Pogorzelec, N. M.
Babin, M.
Mundy, C. J.
Average cosine coefficient and spectral distribution of the light field under sea ice: Implications for primary production
topic_facet Atmospheric Science
Geology
Geotechnical Engineering and Engineering Geology
Ecology
Environmental Engineering
Oceanography
description The Arctic spring phytoplankton bloom has been reported to commence under a melting sea ice cover as transmission of photosynthetically active radiation (PAR; 400–700 nm) suddenly increases with the formation of surface melt ponds. Spatial variability in ice surface characteristics, i.e., snow thickness or melt pond distributions, and subsequent impact on transmitted PAR makes estimating light-limited primary production difficult during this time of year. Added to this difficulty is the interpretation of data from various sensor types, including hyperspectral, multispectral, and PAR-band irradiance sensors, with either cosine-corrected (planar) or spherical (scalar) sensor heads. To quantify the impact of the heterogeneous radiation field under sea ice, spectral irradiance profiles were collected beneath landfast sea ice during the Green Edge ice-camp campaigns in May–June 2015 and June–July 2016. Differences between PAR measurements are described using the downwelling average cosine, μd, a measure of the degree of anisotropy of the downwelling underwater radiation field which, in practice, can be used to convert between downwelling scalar, E0d, and planar, Ed, irradiance. A significantly smallerμd(PAR) was measured prior to snow melt compared to after (0.6 vs. 0.7) when melt ponds covered the ice surface. The impact of the average cosine on primary production estimates, shown in the calculation of depth-integrated daily production, was 16% larger under light-limiting conditions when E0d was used instead of Ed. Under light-saturating conditions, daily production was only 3% larger. Conversion of underwater irradiance data also plays a role in the ratio of total quanta to total energy (EQ/EW, found to be 4.25), which reflects the spectral shape of the under-ice light field. We use these observations to provide factors for converting irradiance measurements between irradiance detector types and units as a function of surface type and depth under sea ice, towards improving primary production estimates.
author2 Deming, Jody W.
Arrigo, Kevin
format Article in Journal/Newspaper
author Matthes, L. C.
Ehn, J. K.
L.-Girard, S.
Pogorzelec, N. M.
Babin, M.
Mundy, C. J.
author_facet Matthes, L. C.
Ehn, J. K.
L.-Girard, S.
Pogorzelec, N. M.
Babin, M.
Mundy, C. J.
author_sort Matthes, L. C.
title Average cosine coefficient and spectral distribution of the light field under sea ice: Implications for primary production
title_short Average cosine coefficient and spectral distribution of the light field under sea ice: Implications for primary production
title_full Average cosine coefficient and spectral distribution of the light field under sea ice: Implications for primary production
title_fullStr Average cosine coefficient and spectral distribution of the light field under sea ice: Implications for primary production
title_full_unstemmed Average cosine coefficient and spectral distribution of the light field under sea ice: Implications for primary production
title_sort average cosine coefficient and spectral distribution of the light field under sea ice: implications for primary production
publisher University of California Press
publishDate 2019
url http://dx.doi.org/10.1525/elementa.363
https://online.ucpress.edu/elementa/article-pdf/doi/10.1525/elementa.363/434848/363-6212-3-pb.pdf
geographic Arctic
geographic_facet Arctic
genre Arctic
Phytoplankton
Sea ice
genre_facet Arctic
Phytoplankton
Sea ice
op_source Elementa: Science of the Anthropocene
volume 7
ISSN 2325-1026
op_rights http://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.1525/elementa.363
container_title Elementa: Science of the Anthropocene
container_volume 7
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