Global distribution of photosynthetically available radiation on the seafloor
A 21 year (1998–2018) continuous monthly data set of the global distribution of light (photosynthetically available radiation, PAR, or irradiance) reaching the seabed is presented. This product uses ocean color and bathymetric data to estimate benthic irradiance, offering critical improvements on a...
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Copernicus Publications
2020
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Online Access: | https://doi.org/10.5194/essd-12-1697-2020 https://essd.copernicus.org/articles/12/1697/2020/essd-12-1697-2020.pdf https://doaj.org/article/e832a749e1b7409ca6b973b67f020003 |
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fttriple:oai:gotriple.eu:oai:doaj.org/article:e832a749e1b7409ca6b973b67f020003 2023-05-15T13:35:01+02:00 Global distribution of photosynthetically available radiation on the seafloor J.-P. Gattuso B. Gentili D. Antoine D. Doxaran 2020-07-01 https://doi.org/10.5194/essd-12-1697-2020 https://essd.copernicus.org/articles/12/1697/2020/essd-12-1697-2020.pdf https://doaj.org/article/e832a749e1b7409ca6b973b67f020003 en eng Copernicus Publications doi:10.5194/essd-12-1697-2020 1866-3508 1866-3516 https://essd.copernicus.org/articles/12/1697/2020/essd-12-1697-2020.pdf https://doaj.org/article/e832a749e1b7409ca6b973b67f020003 undefined Earth System Science Data, Vol 12, Pp 1697-1709 (2020) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2020 fttriple https://doi.org/10.5194/essd-12-1697-2020 2023-01-22T16:59:44Z A 21 year (1998–2018) continuous monthly data set of the global distribution of light (photosynthetically available radiation, PAR, or irradiance) reaching the seabed is presented. This product uses ocean color and bathymetric data to estimate benthic irradiance, offering critical improvements on a previous data set. The time series is 4 times longer (21 versus 5 years), the spatial resolution is better (pixel size of 4.6 versus 9.3 km at the Equator), and the bathymetric resolution is also better (pixel size of 0.46 versus 3.7 km at the Equator). The paper describes the theoretical and methodological bases and data processing. This new product is used to estimate the surface area of the seafloor where (1) light does not limit the distribution of photosynthetic benthic organisms and (2) net community production is positive. The complete data set is provided as 14 netCDF files available on PANGAEA (Gentili and Gattuso, 2020a, https://doi.org/10.1594/PANGAEA.910898). The R package CoastalLight, available on GitHub (https://github.com/jpgattuso/CoastalLight.git, last access: 29 July 2020), allows us (1) to download geographical and optical data from PANGAEA and (2) to calculate the surface area that receives more than a given threshold of irradiance in three regions (nonpolar, Arctic, and Antarctic). Such surface areas can also be calculated for any subregion after downloading data from a remotely and freely accessible server. Article in Journal/Newspaper Antarc* Antarctic Arctic Unknown Antarctic Arctic Earth System Science Data 12 3 1697 1709 |
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geo envir J.-P. Gattuso B. Gentili D. Antoine D. Doxaran Global distribution of photosynthetically available radiation on the seafloor |
topic_facet |
geo envir |
description |
A 21 year (1998–2018) continuous monthly data set of the global distribution of light (photosynthetically available radiation, PAR, or irradiance) reaching the seabed is presented. This product uses ocean color and bathymetric data to estimate benthic irradiance, offering critical improvements on a previous data set. The time series is 4 times longer (21 versus 5 years), the spatial resolution is better (pixel size of 4.6 versus 9.3 km at the Equator), and the bathymetric resolution is also better (pixel size of 0.46 versus 3.7 km at the Equator). The paper describes the theoretical and methodological bases and data processing. This new product is used to estimate the surface area of the seafloor where (1) light does not limit the distribution of photosynthetic benthic organisms and (2) net community production is positive. The complete data set is provided as 14 netCDF files available on PANGAEA (Gentili and Gattuso, 2020a, https://doi.org/10.1594/PANGAEA.910898). The R package CoastalLight, available on GitHub (https://github.com/jpgattuso/CoastalLight.git, last access: 29 July 2020), allows us (1) to download geographical and optical data from PANGAEA and (2) to calculate the surface area that receives more than a given threshold of irradiance in three regions (nonpolar, Arctic, and Antarctic). Such surface areas can also be calculated for any subregion after downloading data from a remotely and freely accessible server. |
format |
Article in Journal/Newspaper |
author |
J.-P. Gattuso B. Gentili D. Antoine D. Doxaran |
author_facet |
J.-P. Gattuso B. Gentili D. Antoine D. Doxaran |
author_sort |
J.-P. Gattuso |
title |
Global distribution of photosynthetically available radiation on the seafloor |
title_short |
Global distribution of photosynthetically available radiation on the seafloor |
title_full |
Global distribution of photosynthetically available radiation on the seafloor |
title_fullStr |
Global distribution of photosynthetically available radiation on the seafloor |
title_full_unstemmed |
Global distribution of photosynthetically available radiation on the seafloor |
title_sort |
global distribution of photosynthetically available radiation on the seafloor |
publisher |
Copernicus Publications |
publishDate |
2020 |
url |
https://doi.org/10.5194/essd-12-1697-2020 https://essd.copernicus.org/articles/12/1697/2020/essd-12-1697-2020.pdf https://doaj.org/article/e832a749e1b7409ca6b973b67f020003 |
geographic |
Antarctic Arctic |
geographic_facet |
Antarctic Arctic |
genre |
Antarc* Antarctic Arctic |
genre_facet |
Antarc* Antarctic Arctic |
op_source |
Earth System Science Data, Vol 12, Pp 1697-1709 (2020) |
op_relation |
doi:10.5194/essd-12-1697-2020 1866-3508 1866-3516 https://essd.copernicus.org/articles/12/1697/2020/essd-12-1697-2020.pdf https://doaj.org/article/e832a749e1b7409ca6b973b67f020003 |
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undefined |
op_doi |
https://doi.org/10.5194/essd-12-1697-2020 |
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Earth System Science Data |
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12 |
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3 |
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1697 |
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1709 |
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