Is chlorophyll-athe best surrogate for organic matter enrichment in submicron primary marine aerosol?
Initial efforts toward developing a combined organic-inorganic sea spray source function parameterization for large-scale models made use of chlorophyll-a (Chl-a) and wind speed as input parameters to combine oceanic biology and atmospheric dynamics. These studies reported a modest correlation coeff...
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ftnuigalway:oai:https://researchrepository.universityofgalway.ie:10379/13653 2024-10-13T14:09:29+00:00 Is chlorophyll-athe best surrogate for organic matter enrichment in submicron primary marine aerosol? Rinaldi, Matteo Fuzzi, Sandro Decesari, Stefano Marullo, Salvatore Santoleri, Rosalia Provenzale, Antonello von Hardenberg, Jost Ceburnis, Darius Vaishya, Aditya O'Dowd, Colin D. Facchini, Maria Cristina 2013-05-27 http://hdl.handle.net/10379/13653 https://doi.org/10.13025/25204 https://doi.org/10.1002/jgrd.50417 unknown Wiley-Blackwell Journal of Geophysical Research: Atmospheres Rinaldi, Matteo; Fuzzi, Sandro; Decesari, Stefano; Marullo, Salvatore; Santoleri, Rosalia; Provenzale, Antonello; von Hardenberg, Jost; Ceburnis, Darius; Vaishya, Aditya; O'Dowd, Colin D. Facchini, Maria Cristina (2013). Is chlorophyll-athe best surrogate for organic matter enrichment in submicron primary marine aerosol?. Journal of Geophysical Research: Atmospheres 118 (10), 4964-4973 2169-897X http://hdl.handle.net/10379/13653 https://doi.org/10.13025/25204 doi:10.1002/jgrd.50417 Attribution-NonCommercial-NoDerivs 3.0 Ireland https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ marine poa ocean color sea spray modeling chlorophyll cloud condensation nuclei sea-spray aerosol biooptical model data sets ocean quantification emissions Article 2013 ftnuigalway https://doi.org/10.13025/2520410.1002/jgrd.50417 2024-09-17T14:44:29Z Initial efforts toward developing a combined organic-inorganic sea spray source function parameterization for large-scale models made use of chlorophyll-a (Chl-a) and wind speed as input parameters to combine oceanic biology and atmospheric dynamics. These studies reported a modest correlation coefficient (0.55) between chlorophyll-a and organic matter (OM) enrichment in sea spray, suggesting that chlorophyll-a is only partially suitable for predicting organic enrichment. A reconstructed chlorophyll-a field of the North Atlantic Ocean from GlobColour reveals an improved correlation of 0.72 between the fractional mass contribution of organics in sea spray and chlorophyll-a concentration. A similar analysis, using colored dissolved and detrital organic material absorption and particulate organic carbon concentration, revealed slightly lower correlation coefficients (0.65 and 0.68). These results indicate that to date, chlorophyll-a is the best biological surrogate for predicting sea spray organic enrichment. In fact, considering the minimal difference between the correlation coefficients obtained with the three ocean color products, there is no reason to substitute chlorophyll-a, which is the most accurate parameter obtained from ocean color data, with other biological surrogates being generally affected by larger and less known errors. The observed time lag between chlorophyll-a concentration and organic matter enrichment in aerosol suggests that biological processes in oceanic surface waters and their timescales should be considered when modeling the production of primary marine organic aerosol. Article in Journal/Newspaper North Atlantic National University of Ireland (NUI), Galway: ARAN |
institution |
Open Polar |
collection |
National University of Ireland (NUI), Galway: ARAN |
op_collection_id |
ftnuigalway |
language |
unknown |
topic |
marine poa ocean color sea spray modeling chlorophyll cloud condensation nuclei sea-spray aerosol biooptical model data sets ocean quantification emissions |
spellingShingle |
marine poa ocean color sea spray modeling chlorophyll cloud condensation nuclei sea-spray aerosol biooptical model data sets ocean quantification emissions Rinaldi, Matteo Fuzzi, Sandro Decesari, Stefano Marullo, Salvatore Santoleri, Rosalia Provenzale, Antonello von Hardenberg, Jost Ceburnis, Darius Vaishya, Aditya O'Dowd, Colin D. Facchini, Maria Cristina Is chlorophyll-athe best surrogate for organic matter enrichment in submicron primary marine aerosol? |
topic_facet |
marine poa ocean color sea spray modeling chlorophyll cloud condensation nuclei sea-spray aerosol biooptical model data sets ocean quantification emissions |
description |
Initial efforts toward developing a combined organic-inorganic sea spray source function parameterization for large-scale models made use of chlorophyll-a (Chl-a) and wind speed as input parameters to combine oceanic biology and atmospheric dynamics. These studies reported a modest correlation coefficient (0.55) between chlorophyll-a and organic matter (OM) enrichment in sea spray, suggesting that chlorophyll-a is only partially suitable for predicting organic enrichment. A reconstructed chlorophyll-a field of the North Atlantic Ocean from GlobColour reveals an improved correlation of 0.72 between the fractional mass contribution of organics in sea spray and chlorophyll-a concentration. A similar analysis, using colored dissolved and detrital organic material absorption and particulate organic carbon concentration, revealed slightly lower correlation coefficients (0.65 and 0.68). These results indicate that to date, chlorophyll-a is the best biological surrogate for predicting sea spray organic enrichment. In fact, considering the minimal difference between the correlation coefficients obtained with the three ocean color products, there is no reason to substitute chlorophyll-a, which is the most accurate parameter obtained from ocean color data, with other biological surrogates being generally affected by larger and less known errors. The observed time lag between chlorophyll-a concentration and organic matter enrichment in aerosol suggests that biological processes in oceanic surface waters and their timescales should be considered when modeling the production of primary marine organic aerosol. |
format |
Article in Journal/Newspaper |
author |
Rinaldi, Matteo Fuzzi, Sandro Decesari, Stefano Marullo, Salvatore Santoleri, Rosalia Provenzale, Antonello von Hardenberg, Jost Ceburnis, Darius Vaishya, Aditya O'Dowd, Colin D. Facchini, Maria Cristina |
author_facet |
Rinaldi, Matteo Fuzzi, Sandro Decesari, Stefano Marullo, Salvatore Santoleri, Rosalia Provenzale, Antonello von Hardenberg, Jost Ceburnis, Darius Vaishya, Aditya O'Dowd, Colin D. Facchini, Maria Cristina |
author_sort |
Rinaldi, Matteo |
title |
Is chlorophyll-athe best surrogate for organic matter enrichment in submicron primary marine aerosol? |
title_short |
Is chlorophyll-athe best surrogate for organic matter enrichment in submicron primary marine aerosol? |
title_full |
Is chlorophyll-athe best surrogate for organic matter enrichment in submicron primary marine aerosol? |
title_fullStr |
Is chlorophyll-athe best surrogate for organic matter enrichment in submicron primary marine aerosol? |
title_full_unstemmed |
Is chlorophyll-athe best surrogate for organic matter enrichment in submicron primary marine aerosol? |
title_sort |
is chlorophyll-athe best surrogate for organic matter enrichment in submicron primary marine aerosol? |
publisher |
Wiley-Blackwell |
publishDate |
2013 |
url |
http://hdl.handle.net/10379/13653 https://doi.org/10.13025/25204 https://doi.org/10.1002/jgrd.50417 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
Journal of Geophysical Research: Atmospheres Rinaldi, Matteo; Fuzzi, Sandro; Decesari, Stefano; Marullo, Salvatore; Santoleri, Rosalia; Provenzale, Antonello; von Hardenberg, Jost; Ceburnis, Darius; Vaishya, Aditya; O'Dowd, Colin D. Facchini, Maria Cristina (2013). Is chlorophyll-athe best surrogate for organic matter enrichment in submicron primary marine aerosol?. Journal of Geophysical Research: Atmospheres 118 (10), 4964-4973 2169-897X http://hdl.handle.net/10379/13653 https://doi.org/10.13025/25204 doi:10.1002/jgrd.50417 |
op_rights |
Attribution-NonCommercial-NoDerivs 3.0 Ireland https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ |
op_doi |
https://doi.org/10.13025/2520410.1002/jgrd.50417 |
_version_ |
1812816483101704192 |