Remote sensing retrieval of isoprene concentrations in the Southern Ocean
Isoprene produced by marine phytoplankton acts as a precursor of secondary organic aerosol and thereby affects cloud formation and brightness over the remote oceans. Yet the marine isoprene emission is poorly constrained, with discrepancies among estimates that reach 2 orders of magnitude. Here we p...
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ftupcatalunyair:oai:upcommons.upc.edu:2117/331405 2024-09-15T17:45:44+00:00 Remote sensing retrieval of isoprene concentrations in the Southern Ocean Rodríguez-Ros, Pablo Gali Tapias, Martí Cortés, Pau Robinson, Charlotte Mary Antoine, David Wohl, Charel Yang, MingXi Simó, Rafel Barcelona Supercomputing Center 2020 10 p. application/pdf http://hdl.handle.net/2117/331405 https://doi.org/10.1029/2020GL087888 eng eng Wiley https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2020GL087888 Rodríguez-Ros, P. [et al.]. Remote sensing retrieval of isoprene concentrations in the Southern Ocean. "Geophysical Research Letters", 2020, vol. 47, núm. 13, e2020GL087888. 1944-8007 http://hdl.handle.net/2117/331405 doi:10.1029/2020GL087888 Open Access Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida Ocean Isoprene Remote sensing MODIS Southern Ocean Algorithm Chlorophyll a Mar Article 2020 ftupcatalunyair https://doi.org/10.1029/2020GL087888 2024-07-25T11:14:46Z Isoprene produced by marine phytoplankton acts as a precursor of secondary organic aerosol and thereby affects cloud formation and brightness over the remote oceans. Yet the marine isoprene emission is poorly constrained, with discrepancies among estimates that reach 2 orders of magnitude. Here we present ISOREMS, the first satellite‐only based algorithm for the retrieval of isoprene concentration in the Southern Ocean. Sea surface concentrations from six cruises were matched with remotely sensed variables from MODIS Aqua, and isoprene was best predicted by multiple linear regression with chlorophyll a and sea surface temperature. Climatological (2002–2018) isoprene distributions computed with ISOREMS revealed high concentrations in coastal and near‐island waters, and within the 40–50°S latitudinal band. Isoprene seasonality paralleled phytoplankton productivity, with annual maxima in summer. The annual Southern Ocean emission of isoprene was estimated at 63 Gg C yr−1. The algorithm can provide spatially and temporally realistic inputs to atmospheric and climate models. This research was funded by the Spanish Ministry of Economy and Competitiveness through projects PEGASO (CTM2012‐37615) and BIOGAPS (CTM2016‐81008‐R) to R. S., and partially by the Australian Government through the Australian Research Council's Discovery Projects funding scheme (project DP160103387). The Antarctic Circumnavigation Expedition was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals. P. R. R. was supported by a “la Caixa” Foundation PhD Fellowship (2015–2019). Members of the ACE#1 research team are greatly acknowledged for providing data and technical support. We are grateful to NASA's Ocean Biology Processing Group (OBPG) for MODIS Aqua data and to the British Oceanographic Data Centre (BODC). We thank R. Wanninkhof (NOAA/AOML) and J. Trianes (Universidade de Santiago de Compostela) for providing the CCMP2 monthly climatology. P. R. R. would like to thank M. Babin, M. Levasseur, and M. Lizotte for ... Article in Journal/Newspaper Antarc* Antarctic Southern Ocean Swiss Polar Institute Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge Geophysical Research Letters 47 13 |
institution |
Open Polar |
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Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge |
op_collection_id |
ftupcatalunyair |
language |
English |
topic |
Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida Ocean Isoprene Remote sensing MODIS Southern Ocean Algorithm Chlorophyll a Mar |
spellingShingle |
Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida Ocean Isoprene Remote sensing MODIS Southern Ocean Algorithm Chlorophyll a Mar Rodríguez-Ros, Pablo Gali Tapias, Martí Cortés, Pau Robinson, Charlotte Mary Antoine, David Wohl, Charel Yang, MingXi Simó, Rafel Remote sensing retrieval of isoprene concentrations in the Southern Ocean |
topic_facet |
Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida Ocean Isoprene Remote sensing MODIS Southern Ocean Algorithm Chlorophyll a Mar |
description |
Isoprene produced by marine phytoplankton acts as a precursor of secondary organic aerosol and thereby affects cloud formation and brightness over the remote oceans. Yet the marine isoprene emission is poorly constrained, with discrepancies among estimates that reach 2 orders of magnitude. Here we present ISOREMS, the first satellite‐only based algorithm for the retrieval of isoprene concentration in the Southern Ocean. Sea surface concentrations from six cruises were matched with remotely sensed variables from MODIS Aqua, and isoprene was best predicted by multiple linear regression with chlorophyll a and sea surface temperature. Climatological (2002–2018) isoprene distributions computed with ISOREMS revealed high concentrations in coastal and near‐island waters, and within the 40–50°S latitudinal band. Isoprene seasonality paralleled phytoplankton productivity, with annual maxima in summer. The annual Southern Ocean emission of isoprene was estimated at 63 Gg C yr−1. The algorithm can provide spatially and temporally realistic inputs to atmospheric and climate models. This research was funded by the Spanish Ministry of Economy and Competitiveness through projects PEGASO (CTM2012‐37615) and BIOGAPS (CTM2016‐81008‐R) to R. S., and partially by the Australian Government through the Australian Research Council's Discovery Projects funding scheme (project DP160103387). The Antarctic Circumnavigation Expedition was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals. P. R. R. was supported by a “la Caixa” Foundation PhD Fellowship (2015–2019). Members of the ACE#1 research team are greatly acknowledged for providing data and technical support. We are grateful to NASA's Ocean Biology Processing Group (OBPG) for MODIS Aqua data and to the British Oceanographic Data Centre (BODC). We thank R. Wanninkhof (NOAA/AOML) and J. Trianes (Universidade de Santiago de Compostela) for providing the CCMP2 monthly climatology. P. R. R. would like to thank M. Babin, M. Levasseur, and M. Lizotte for ... |
author2 |
Barcelona Supercomputing Center |
format |
Article in Journal/Newspaper |
author |
Rodríguez-Ros, Pablo Gali Tapias, Martí Cortés, Pau Robinson, Charlotte Mary Antoine, David Wohl, Charel Yang, MingXi Simó, Rafel |
author_facet |
Rodríguez-Ros, Pablo Gali Tapias, Martí Cortés, Pau Robinson, Charlotte Mary Antoine, David Wohl, Charel Yang, MingXi Simó, Rafel |
author_sort |
Rodríguez-Ros, Pablo |
title |
Remote sensing retrieval of isoprene concentrations in the Southern Ocean |
title_short |
Remote sensing retrieval of isoprene concentrations in the Southern Ocean |
title_full |
Remote sensing retrieval of isoprene concentrations in the Southern Ocean |
title_fullStr |
Remote sensing retrieval of isoprene concentrations in the Southern Ocean |
title_full_unstemmed |
Remote sensing retrieval of isoprene concentrations in the Southern Ocean |
title_sort |
remote sensing retrieval of isoprene concentrations in the southern ocean |
publisher |
Wiley |
publishDate |
2020 |
url |
http://hdl.handle.net/2117/331405 https://doi.org/10.1029/2020GL087888 |
genre |
Antarc* Antarctic Southern Ocean Swiss Polar Institute |
genre_facet |
Antarc* Antarctic Southern Ocean Swiss Polar Institute |
op_relation |
https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2020GL087888 Rodríguez-Ros, P. [et al.]. Remote sensing retrieval of isoprene concentrations in the Southern Ocean. "Geophysical Research Letters", 2020, vol. 47, núm. 13, e2020GL087888. 1944-8007 http://hdl.handle.net/2117/331405 doi:10.1029/2020GL087888 |
op_rights |
Open Access |
op_doi |
https://doi.org/10.1029/2020GL087888 |
container_title |
Geophysical Research Letters |
container_volume |
47 |
container_issue |
13 |
_version_ |
1810493633189642240 |