Profiling of Saharan dust from the Caribbean to western Africa – Part 2: Shipborne lidar measurements versus forecasts

A unique 4-week ship cruise from Guadeloupe to Cabo Verde in April–May 2013 see part 1, Rittmeister et al. (2017) is used for an in-depth comparison of dust profiles observed with a polarization/Raman lidar aboard the German research vessel Meteor over the remote tropical Atlantic and respective dus...

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Autores: Ansmann, Albert, Rittmeister, Franziska, Engelmann, Ronny, Basart, Sara|||0000-0002-9821-8504, Benedetti, Angela, Spyrou, Christos, Skupin, Annett, Baars, Holger, Seifert, Patric, Senf, Fabian, Kanitz, Thomas
Tipo de documento: artigo
Data de publicação:2017
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositório:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglês
OAI Identifier:oai:upcommons.upc.edu:2117/113345
Acesso em linha:https://hdl.handle.net/2117/113345
https://dx.doi.org/10.5194/acp-17-14987-2017
Access Level:Acceso aberto
Palavra-chave:Seasonal prediction (Meteorology)
Saharan dust
Seasonal forecast
Clima--Observacions
Climatologia
Àrees temàtiques de la UPC::Energies
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network_name_str España
repository_id_str
dc.title.none.fl_str_mv Profiling of Saharan dust from the Caribbean to western Africa – Part 2: Shipborne lidar measurements versus forecasts
title Profiling of Saharan dust from the Caribbean to western Africa – Part 2: Shipborne lidar measurements versus forecasts
spellingShingle Profiling of Saharan dust from the Caribbean to western Africa – Part 2: Shipborne lidar measurements versus forecasts
Ansmann, Albert
Seasonal prediction (Meteorology)
Saharan dust
Seasonal forecast
Clima--Observacions
Climatologia
Àrees temàtiques de la UPC::Energies
title_short Profiling of Saharan dust from the Caribbean to western Africa – Part 2: Shipborne lidar measurements versus forecasts
title_full Profiling of Saharan dust from the Caribbean to western Africa – Part 2: Shipborne lidar measurements versus forecasts
title_fullStr Profiling of Saharan dust from the Caribbean to western Africa – Part 2: Shipborne lidar measurements versus forecasts
title_full_unstemmed Profiling of Saharan dust from the Caribbean to western Africa – Part 2: Shipborne lidar measurements versus forecasts
title_sort Profiling of Saharan dust from the Caribbean to western Africa – Part 2: Shipborne lidar measurements versus forecasts
dc.creator.none.fl_str_mv Ansmann, Albert
Rittmeister, Franziska
Engelmann, Ronny
Basart, Sara|||0000-0002-9821-8504
Benedetti, Angela
Spyrou, Christos
Skupin, Annett
Baars, Holger
Seifert, Patric
Senf, Fabian
Kanitz, Thomas
author Ansmann, Albert
author_facet Ansmann, Albert
Rittmeister, Franziska
Engelmann, Ronny
Basart, Sara|||0000-0002-9821-8504
Benedetti, Angela
Spyrou, Christos
Skupin, Annett
Baars, Holger
Seifert, Patric
Senf, Fabian
Kanitz, Thomas
author_role author
author2 Rittmeister, Franziska
Engelmann, Ronny
Basart, Sara|||0000-0002-9821-8504
Benedetti, Angela
Spyrou, Christos
Skupin, Annett
Baars, Holger
Seifert, Patric
Senf, Fabian
Kanitz, Thomas
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Seasonal prediction (Meteorology)
Saharan dust
Seasonal forecast
Clima--Observacions
Climatologia
Àrees temàtiques de la UPC::Energies
topic Seasonal prediction (Meteorology)
Saharan dust
Seasonal forecast
Clima--Observacions
Climatologia
Àrees temàtiques de la UPC::Energies
description A unique 4-week ship cruise from Guadeloupe to Cabo Verde in April–May 2013 see part 1, Rittmeister et al. (2017) is used for an in-depth comparison of dust profiles observed with a polarization/Raman lidar aboard the German research vessel Meteor over the remote tropical Atlantic and respective dust forecasts of a regional (SKIRON) and two global atmospheric (dust) transport models (NMMB/BSC-Dust, MACC/CAMS). New options of model–observation comparisons are presented. We analyze how well the modeled fine dust (submicrometer particles) and coarse dust contributions to light extinction and mass concentration match respective lidar observations, and to what extent models, adjusted to aerosol optical thickness observations, are able to reproduce the observed layering and mixing of dust and non-dust (mostly marine) aerosol components over the remote tropical Atlantic. Based on the coherent set of dust profiles at well-defined distances from Africa (without any disturbance by anthropogenic aerosol sources over the ocean), we investigate how accurately the models handle dust removal at distances of 1500 km to more than 5000 km west of the Saharan dust source regions. It was found that (a) dust predictions are of acceptable quality for the first several days after dust emission up to 2000 km west of the African continent, (b) the removal of dust from the atmosphere is too strong for large transport paths in the global models, and (c) the simulated fine-to-coarse dust ratio (in terms of mass concentration and light extinction) is too high in the models compared to the observations. This deviation occurs initially close to the dust sources and then increases with distance from Africa and thus points to an overestimation of fine dust emission in the models.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-12-12
2018
2018-01-29
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/113345
https://dx.doi.org/10.5194/acp-17-14987-2017
url https://hdl.handle.net/2117/113345
https://dx.doi.org/10.5194/acp-17-14987-2017
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv European Commission http://doi.org/10.13039/100010661 Horizon 2020 Framework Programme 654109 Aerosols, Clouds, and Trace gases Research InfraStructure
European Commission http://dx.doi.org/10.13039/100011102 Seventh Framework Programme 241402 Marine Renewable Integrated Application Platform
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv European Geosciences Union (EGU)
publisher.none.fl_str_mv European Geosciences Union (EGU)
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Profiling of Saharan dust from the Caribbean to western Africa – Part 2: Shipborne lidar measurements versus forecastsAnsmann, AlbertRittmeister, FranziskaEngelmann, RonnyBasart, Sara|||0000-0002-9821-8504Benedetti, AngelaSpyrou, ChristosSkupin, AnnettBaars, HolgerSeifert, PatricSenf, FabianKanitz, ThomasSeasonal prediction (Meteorology)Saharan dustSeasonal forecastClima--ObservacionsClimatologiaÀrees temàtiques de la UPC::EnergiesA unique 4-week ship cruise from Guadeloupe to Cabo Verde in April–May 2013 see part 1, Rittmeister et al. (2017) is used for an in-depth comparison of dust profiles observed with a polarization/Raman lidar aboard the German research vessel Meteor over the remote tropical Atlantic and respective dust forecasts of a regional (SKIRON) and two global atmospheric (dust) transport models (NMMB/BSC-Dust, MACC/CAMS). New options of model–observation comparisons are presented. We analyze how well the modeled fine dust (submicrometer particles) and coarse dust contributions to light extinction and mass concentration match respective lidar observations, and to what extent models, adjusted to aerosol optical thickness observations, are able to reproduce the observed layering and mixing of dust and non-dust (mostly marine) aerosol components over the remote tropical Atlantic. Based on the coherent set of dust profiles at well-defined distances from Africa (without any disturbance by anthropogenic aerosol sources over the ocean), we investigate how accurately the models handle dust removal at distances of 1500 km to more than 5000 km west of the Saharan dust source regions. It was found that (a) dust predictions are of acceptable quality for the first several days after dust emission up to 2000 km west of the African continent, (b) the removal of dust from the atmosphere is too strong for large transport paths in the global models, and (c) the simulated fine-to-coarse dust ratio (in terms of mass concentration and light extinction) is too high in the models compared to the observations. This deviation occurs initially close to the dust sources and then increases with distance from Africa and thus points to an overestimation of fine dust emission in the models.We thank the R/V Meteor team and German Weather Service (DWD) for their support during the cruise M96. We appreciate the effort of AERONET MAN to equip research vessels with sun photometers for atmospheric research. We are grateful to Angela Benedetti (MACC/CAMS model; European Centre for Medium-Range Weather Forecasts, Reading, UK) for all her fruitful comments and suggestion during the initial phase of paper preparation. The SKIRON model operations were supported by the European Commission through the Seventh Framework Programme MARINA platform (Marine Renewable Integrated Application Platform, grant agreement 241402). NMMB/BSC-Dust model simulations were performed in the MareNostrum supercomputer hosted by BSC. Sara Basart and Oriol Jorba acknowledge the CICYT project (CGL2016-75725-R) of the Spanish Government and the AXA Research Fund. The authors also acknowledge support through ACTRIS-2 under grant agreement no. 654109 from the European Union’s Horizon 2020 Research and Innovation Programme.Peer ReviewedEuropean Geosciences Union (EGU)20172017-12-1220182018-01-29journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/113345https://dx.doi.org/10.5194/acp-17-14987-2017reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengEuropean Commission http://doi.org/10.13039/100010661 Horizon 2020 Framework Programme 654109 Aerosols, Clouds, and Trace gases Research InfraStructureEuropean Commission http://dx.doi.org/10.13039/100011102 Seventh Framework Programme 241402 Marine Renewable Integrated Application Platformopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1133452026-05-27T15:37:01Z
score 15.301603

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