Ocean-Atmosphere Interactions: Linking Oceanic Biological Activity to Marine Aerosol Physico-Chemical and Cloud Properties
In this work, in-situ measurements of aerosol chemical composition, particle number size distribution, cloud-relevant properties and ground-based cloud observations were combined with high-resolution satellite sea surface chlorophyll-a concentration and air mass back-trajectory data to investigate t...
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Alma Mater Studiorum - Università di Bologna
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ftunivbologntesi:oai:amsdottorato.cib.unibo.it:9548 2023-05-15T15:14:07+02:00 Ocean-Atmosphere Interactions: Linking Oceanic Biological Activity to Marine Aerosol Physico-Chemical and Cloud Properties Mansour, Karam Abdelaal <1988> Facchini, Maria Cristina 2021-05-14 application/pdf http://amsdottorato.unibo.it/9548/ http://amsdottorato.unibo.it/9548/1/PhD_Thesis_UNIBO_Karam_Mansour.pdf en eng Alma Mater Studiorum - Università di Bologna http://amsdottorato.unibo.it/9548/1/PhD_Thesis_UNIBO_Karam_Mansour.pdf urn:nbn:it:unibo-27708 Mansour, Karam Abdelaal (2021) Ocean-Atmosphere Interactions: Linking Oceanic Biological Activity to Marine Aerosol Physico-Chemical and Cloud Properties, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Geofisica <http://amsdottorato.unibo.it/view/dottorati/DOT250/>, 33 Ciclo. DOI 10.48676/unibo/amsdottorato/9548. info:eu-repo/semantics/openAccess GEO/12 Oceanografia e fisica dell'atmosfera Doctoral Thesis PeerReviewed 2021 ftunivbologntesi 2022-10-18T22:10:58Z In this work, in-situ measurements of aerosol chemical composition, particle number size distribution, cloud-relevant properties and ground-based cloud observations were combined with high-resolution satellite sea surface chlorophyll-a concentration and air mass back-trajectory data to investigate the impact of the marine biota on aerosol physico-chemical and cloud properties. Studies were performed over the North-Eastern Atlantic Ocean, the central Mediterranean Sea, and the Arctic Ocean, by deploying both multi-year datasets and short-time scale observations. All the data were chosen to be representative of the marine atmosphere, reducing to a minimum any anthropogenic input. A relationship between the patterns of marine biological activity and the time evolution of marine aerosol properties was observed, under a variety of aspects, from chemical composition to number concentration and size distribution, up to the most cloud‐relevant properties. At short-time scales (1-2 months), the aerosol properties tend to respond to biological activity variations with a delay of about one to three weeks. This delay should be considered in model applications that make use of Chlorophyll-a to predict marine aerosol properties at high temporal resolution. The impact of oceanic biological activity on the microphysical properties of marine stratiform clouds is also evidenced by our analysis, over the Eastern North Atlantic Ocean. Such clouds tend to have a higher number of smaller cloud droplets in periods of high biological activity with respect to quiescent periods. This confirms the possibility of feedback interactions within the biota-aerosol-cloud climate system. Achieving a better characterization of the time and space relationships linking oceanic biological activity to marine aerosol composition and properties may significantly impact our future capability of predicting the chemical composition of the marine atmosphere, potentially contributing to reducing the uncertainty of future climate predictions, through a better ... Doctoral or Postdoctoral Thesis Arctic Arctic Ocean North Atlantic Università di Bologna: AMS Tesi di Dottorato (Alm@DL) Arctic Arctic Ocean |
institution |
Open Polar |
collection |
Università di Bologna: AMS Tesi di Dottorato (Alm@DL) |
op_collection_id |
ftunivbologntesi |
language |
English |
topic |
GEO/12 Oceanografia e fisica dell'atmosfera |
spellingShingle |
GEO/12 Oceanografia e fisica dell'atmosfera Mansour, Karam Abdelaal <1988> Ocean-Atmosphere Interactions: Linking Oceanic Biological Activity to Marine Aerosol Physico-Chemical and Cloud Properties |
topic_facet |
GEO/12 Oceanografia e fisica dell'atmosfera |
description |
In this work, in-situ measurements of aerosol chemical composition, particle number size distribution, cloud-relevant properties and ground-based cloud observations were combined with high-resolution satellite sea surface chlorophyll-a concentration and air mass back-trajectory data to investigate the impact of the marine biota on aerosol physico-chemical and cloud properties. Studies were performed over the North-Eastern Atlantic Ocean, the central Mediterranean Sea, and the Arctic Ocean, by deploying both multi-year datasets and short-time scale observations. All the data were chosen to be representative of the marine atmosphere, reducing to a minimum any anthropogenic input. A relationship between the patterns of marine biological activity and the time evolution of marine aerosol properties was observed, under a variety of aspects, from chemical composition to number concentration and size distribution, up to the most cloud‐relevant properties. At short-time scales (1-2 months), the aerosol properties tend to respond to biological activity variations with a delay of about one to three weeks. This delay should be considered in model applications that make use of Chlorophyll-a to predict marine aerosol properties at high temporal resolution. The impact of oceanic biological activity on the microphysical properties of marine stratiform clouds is also evidenced by our analysis, over the Eastern North Atlantic Ocean. Such clouds tend to have a higher number of smaller cloud droplets in periods of high biological activity with respect to quiescent periods. This confirms the possibility of feedback interactions within the biota-aerosol-cloud climate system. Achieving a better characterization of the time and space relationships linking oceanic biological activity to marine aerosol composition and properties may significantly impact our future capability of predicting the chemical composition of the marine atmosphere, potentially contributing to reducing the uncertainty of future climate predictions, through a better ... |
author2 |
Facchini, Maria Cristina |
format |
Doctoral or Postdoctoral Thesis |
author |
Mansour, Karam Abdelaal <1988> |
author_facet |
Mansour, Karam Abdelaal <1988> |
author_sort |
Mansour, Karam Abdelaal <1988> |
title |
Ocean-Atmosphere Interactions: Linking Oceanic Biological Activity to Marine Aerosol Physico-Chemical and Cloud Properties |
title_short |
Ocean-Atmosphere Interactions: Linking Oceanic Biological Activity to Marine Aerosol Physico-Chemical and Cloud Properties |
title_full |
Ocean-Atmosphere Interactions: Linking Oceanic Biological Activity to Marine Aerosol Physico-Chemical and Cloud Properties |
title_fullStr |
Ocean-Atmosphere Interactions: Linking Oceanic Biological Activity to Marine Aerosol Physico-Chemical and Cloud Properties |
title_full_unstemmed |
Ocean-Atmosphere Interactions: Linking Oceanic Biological Activity to Marine Aerosol Physico-Chemical and Cloud Properties |
title_sort |
ocean-atmosphere interactions: linking oceanic biological activity to marine aerosol physico-chemical and cloud properties |
publisher |
Alma Mater Studiorum - Università di Bologna |
publishDate |
2021 |
url |
http://amsdottorato.unibo.it/9548/ http://amsdottorato.unibo.it/9548/1/PhD_Thesis_UNIBO_Karam_Mansour.pdf |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean North Atlantic |
genre_facet |
Arctic Arctic Ocean North Atlantic |
op_relation |
http://amsdottorato.unibo.it/9548/1/PhD_Thesis_UNIBO_Karam_Mansour.pdf urn:nbn:it:unibo-27708 Mansour, Karam Abdelaal (2021) Ocean-Atmosphere Interactions: Linking Oceanic Biological Activity to Marine Aerosol Physico-Chemical and Cloud Properties, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Geofisica <http://amsdottorato.unibo.it/view/dottorati/DOT250/>, 33 Ciclo. DOI 10.48676/unibo/amsdottorato/9548. |
op_rights |
info:eu-repo/semantics/openAccess |
_version_ |
1766344617086681088 |