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Intercomparison of desert dust optical depth from satellite measurements

E. Carboni, G. E. Thomas, A. M. Sayer, R. Siddans, C. A. Poulsen, R. G. Grainger, C. Ahn, D. Antoine, S. Bevan, R. Braak, H. Brindley, S. DeSouza-Machado, J. L. Deuzé, D. Diner, F. Ducos, W. Grey, C. Hsu, O. V. Kalashnikova, R. Kahn, P. R. J. North, C. Salustro, A. Smith, D. Tanré, O. Torres, B. Veihelmann, Peter North Orcid Logo, Suzanne Bevan Orcid Logo

Atmospheric Measurement Techniques, Volume: 5, Issue: 8, Pages: 1973 - 2002

Swansea University Authors: Peter North Orcid Logo, Suzanne Bevan Orcid Logo

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DOI (Published version): 10.5194/amt-5-1973-2012

Abstract

This work provides a comparison of satellite retrievalsof Saharan desert dust aerosol optical depth (AOD)during a strong dust event through March 2006. In this event,a large dust plume was transported over desert, vegetated,and ocean surfaces. The aim is to identify the differencesbetween current da...

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Published in: Atmospheric Measurement Techniques
Published: 2012
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In this event,a large dust plume was transported over desert, vegetated,and ocean surfaces. The aim is to identify the differencesbetween current datasets. The satellite instruments consideredare AATSR, AIRS, MERIS, MISR, MODIS, OMI,POLDER, and SEVIRI. An interesting aspect is that the differentalgorithms make use of different instrument characteristicsto obtain retrievals over bright surfaces. These includemulti-angle approaches (MISR, AATSR), polarisationmeasurements (POLDER), single-view approaches using solarwavelengths (OMI, MODIS), and the thermal infraredspectral region (SEVIRI, AIRS). Differences between instruments,together with the comparison of different retrievalalgorithms applied to measurements from the same instrument,provide a unique insight into the performance andcharacteristics of the various techniques employed. As wellas the intercomparison between different satellite products,the AODs have also been compared to co-located AERONETdata. Despite the fact that the agreement between satellite andAERONET AODs is reasonably good for all of the datasets,there are significant differences between them when comparedto each other, especially over land. These differencesare partially due to differences in the algorithms, such as assumptionsabout aerosol model and surface properties. However,in this comparison of spatially and temporally averageddata, it is important to note that differences in sampling, relatedto the actual footprint of each instrument on the heterogeneousaerosol field, cloud identification and the qualitycontrol flags of each dataset can be an important issue.</abstract><type>Journal Article</type><journal>Atmospheric Measurement Techniques</journal><volume>5</volume><journalNumber>8</journalNumber><paginationStart>1973</paginationStart><paginationEnd>2002</paginationEnd><publisher/><keywords/><publishedDay>17</publishedDay><publishedMonth>8</publishedMonth><publishedYear>2012</publishedYear><publishedDate>2012-08-17</publishedDate><doi>10.5194/amt-5-1973-2012</doi><url/><notes></notes><college>COLLEGE NANME</college><department>Geography</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SGE</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2019-05-30T16:33:31.0945681</lastEdited><Created>2013-06-10T10:55:13.5634121</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Biosciences, Geography and Physics - Geography</level></path><authors><author><firstname>E.</firstname><surname>Carboni</surname><order>1</order></author><author><firstname>G. E.</firstname><surname>Thomas</surname><order>2</order></author><author><firstname>A. M.</firstname><surname>Sayer</surname><order>3</order></author><author><firstname>R.</firstname><surname>Siddans</surname><order>4</order></author><author><firstname>C. A.</firstname><surname>Poulsen</surname><order>5</order></author><author><firstname>R. G.</firstname><surname>Grainger</surname><order>6</order></author><author><firstname>C.</firstname><surname>Ahn</surname><order>7</order></author><author><firstname>D.</firstname><surname>Antoine</surname><order>8</order></author><author><firstname>S.</firstname><surname>Bevan</surname><order>9</order></author><author><firstname>R.</firstname><surname>Braak</surname><order>10</order></author><author><firstname>H.</firstname><surname>Brindley</surname><order>11</order></author><author><firstname>S.</firstname><surname>DeSouza-Machado</surname><order>12</order></author><author><firstname>J. L.</firstname><surname>Deuz&#xE9;</surname><order>13</order></author><author><firstname>D.</firstname><surname>Diner</surname><order>14</order></author><author><firstname>F.</firstname><surname>Ducos</surname><order>15</order></author><author><firstname>W.</firstname><surname>Grey</surname><order>16</order></author><author><firstname>C.</firstname><surname>Hsu</surname><order>17</order></author><author><firstname>O. V.</firstname><surname>Kalashnikova</surname><order>18</order></author><author><firstname>R.</firstname><surname>Kahn</surname><order>19</order></author><author><firstname>P. R. 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spelling 2019-05-30T16:33:31.0945681 v2 15033 2013-06-10 Intercomparison of desert dust optical depth from satellite measurements fc45a0cb36c24d6cf35313a8c808652f 0000-0001-9933-6935 Peter North Peter North true false 758d19253522c8c306d4eea0e6e484f6 0000-0003-2649-2982 Suzanne Bevan Suzanne Bevan true false 2013-06-10 SGE This work provides a comparison of satellite retrievalsof Saharan desert dust aerosol optical depth (AOD)during a strong dust event through March 2006. In this event,a large dust plume was transported over desert, vegetated,and ocean surfaces. The aim is to identify the differencesbetween current datasets. The satellite instruments consideredare AATSR, AIRS, MERIS, MISR, MODIS, OMI,POLDER, and SEVIRI. An interesting aspect is that the differentalgorithms make use of different instrument characteristicsto obtain retrievals over bright surfaces. These includemulti-angle approaches (MISR, AATSR), polarisationmeasurements (POLDER), single-view approaches using solarwavelengths (OMI, MODIS), and the thermal infraredspectral region (SEVIRI, AIRS). Differences between instruments,together with the comparison of different retrievalalgorithms applied to measurements from the same instrument,provide a unique insight into the performance andcharacteristics of the various techniques employed. As wellas the intercomparison between different satellite products,the AODs have also been compared to co-located AERONETdata. Despite the fact that the agreement between satellite andAERONET AODs is reasonably good for all of the datasets,there are significant differences between them when comparedto each other, especially over land. These differencesare partially due to differences in the algorithms, such as assumptionsabout aerosol model and surface properties. However,in this comparison of spatially and temporally averageddata, it is important to note that differences in sampling, relatedto the actual footprint of each instrument on the heterogeneousaerosol field, cloud identification and the qualitycontrol flags of each dataset can be an important issue. Journal Article Atmospheric Measurement Techniques 5 8 1973 2002 17 8 2012 2012-08-17 10.5194/amt-5-1973-2012 COLLEGE NANME Geography COLLEGE CODE SGE Swansea University 2019-05-30T16:33:31.0945681 2013-06-10T10:55:13.5634121 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography E. Carboni 1 G. E. Thomas 2 A. M. Sayer 3 R. Siddans 4 C. A. Poulsen 5 R. G. Grainger 6 C. Ahn 7 D. Antoine 8 S. Bevan 9 R. Braak 10 H. Brindley 11 S. DeSouza-Machado 12 J. L. Deuzé 13 D. Diner 14 F. Ducos 15 W. Grey 16 C. Hsu 17 O. V. Kalashnikova 18 R. Kahn 19 P. R. J. North 20 C. Salustro 21 A. Smith 22 D. Tanré 23 O. Torres 24 B. Veihelmann 25 Peter North 0000-0001-9933-6935 26 Suzanne Bevan 0000-0003-2649-2982 27 0015033-02072015114608.pdf carbonietal2012.pdf 2015-07-02T11:46:08.1230000 Output 7795257 application/pdf Version of Record true 2015-07-02T00:00:00.0000000 Distributed under the terms of a Creative Commons Attribution Non-Commercial (CC-BY-3.0) true
title Intercomparison of desert dust optical depth from satellite measurements
spellingShingle Intercomparison of desert dust optical depth from satellite measurements
Peter North
Suzanne Bevan
title_short Intercomparison of desert dust optical depth from satellite measurements
title_full Intercomparison of desert dust optical depth from satellite measurements
title_fullStr Intercomparison of desert dust optical depth from satellite measurements
title_full_unstemmed Intercomparison of desert dust optical depth from satellite measurements
title_sort Intercomparison of desert dust optical depth from satellite measurements
author_id_str_mv fc45a0cb36c24d6cf35313a8c808652f
758d19253522c8c306d4eea0e6e484f6
author_id_fullname_str_mv fc45a0cb36c24d6cf35313a8c808652f_***_Peter North
758d19253522c8c306d4eea0e6e484f6_***_Suzanne Bevan
author Peter North
Suzanne Bevan
author2 E. Carboni
G. E. Thomas
A. M. Sayer
R. Siddans
C. A. Poulsen
R. G. Grainger
C. Ahn
D. Antoine
S. Bevan
R. Braak
H. Brindley
S. DeSouza-Machado
J. L. Deuzé
D. Diner
F. Ducos
W. Grey
C. Hsu
O. V. Kalashnikova
R. Kahn
P. R. J. North
C. Salustro
A. Smith
D. Tanré
O. Torres
B. Veihelmann
Peter North
Suzanne Bevan
format Journal article
container_title Atmospheric Measurement Techniques
container_volume 5
container_issue 8
container_start_page 1973
publishDate 2012
institution Swansea University
doi_str_mv 10.5194/amt-5-1973-2012
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Geography{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Geography
document_store_str 1
active_str 0
description This work provides a comparison of satellite retrievalsof Saharan desert dust aerosol optical depth (AOD)during a strong dust event through March 2006. In this event,a large dust plume was transported over desert, vegetated,and ocean surfaces. The aim is to identify the differencesbetween current datasets. The satellite instruments consideredare AATSR, AIRS, MERIS, MISR, MODIS, OMI,POLDER, and SEVIRI. An interesting aspect is that the differentalgorithms make use of different instrument characteristicsto obtain retrievals over bright surfaces. These includemulti-angle approaches (MISR, AATSR), polarisationmeasurements (POLDER), single-view approaches using solarwavelengths (OMI, MODIS), and the thermal infraredspectral region (SEVIRI, AIRS). Differences between instruments,together with the comparison of different retrievalalgorithms applied to measurements from the same instrument,provide a unique insight into the performance andcharacteristics of the various techniques employed. As wellas the intercomparison between different satellite products,the AODs have also been compared to co-located AERONETdata. Despite the fact that the agreement between satellite andAERONET AODs is reasonably good for all of the datasets,there are significant differences between them when comparedto each other, especially over land. These differencesare partially due to differences in the algorithms, such as assumptionsabout aerosol model and surface properties. However,in this comparison of spatially and temporally averageddata, it is important to note that differences in sampling, relatedto the actual footprint of each instrument on the heterogeneousaerosol field, cloud identification and the qualitycontrol flags of each dataset can be an important issue.
published_date 2012-08-17T03:17:10Z
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score 11.012678

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