Aerosol indirect effects in POLDER satellite data and the Laboratoire de Météorologie Dynamique–Zoom (LMDZ) general circulation model
The POLDER-1 instrument was able to measure aerosol and cloud properties for eight months in 1996–1997. We use these observational data for aerosol concentration (the aerosol index), cloud optical thickness, and cloud droplet effective radius to establish statistical relationships among these parame...
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Universitätsbibliothek Leipzig
2015
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ndltd-DRESDEN-oai-qucosa.de-bsz-15-qucosa-1772942015-11-27T03:24:17Z Aerosol indirect effects in POLDER satellite data and the Laboratoire de Météorologie Dynamique–Zoom (LMDZ) general circulation model Quaas, Johannes Boucher, Olivier Bréon, François-Marie indirekte Effekte Aerosol Wolken indirect effects aerosol clouds ddc:551 The POLDER-1 instrument was able to measure aerosol and cloud properties for eight months in 1996–1997. We use these observational data for aerosol concentration (the aerosol index), cloud optical thickness, and cloud droplet effective radius to establish statistical relationships among these parameters in order to analyze the first and second aerosol indirect effects. We also evaluate the representation of these effects as parameterized in the Laboratoire de Météorologie Dynamique–Zoom (LMDZ) general circulation model. We find a decrease in cloud top droplet radius with increasing aerosol index in both the model and the observations. Our results are only slightly changed if the analysis is done at fixed cloud liquid water path (LWP) instead of considering all LWP conditions. We also find a positive correlation between aerosol index and cloud liquid water path, which is particularly pronounced over the Northern Hemisphere midlatitudes. This may be interpreted as observational evidence for the second aerosol indirect effect on a large scale. The model-simulated relationship agrees well with that derived from POLDER data. Model simulations show a rather small change in the two relationships if preindustrial rather than present-day aerosol distributions are used. However, when entirely switching off the second aerosol indirect effect in our model, we find a much steeper slope than we do when including it. Universitätsbibliothek Leipzig Laboratoire de Météorologie Dynamique, Laboratoire d’Optique Atmosphérique, Laboratoire des Sciences du Climat et de l’Environnement, Wiley, 2015-08-21 doc-type:article application/pdf http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-177294 urn:nbn:de:bsz:15-qucosa-177294 issn:2169-897X http://www.qucosa.de/fileadmin/data/qucosa/documents/17729/quaas_jgr_2004.pdf Journal of Geophysical Research : Atmospheres (2004), 109, D08205 eng |
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English |
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indirekte Effekte Aerosol Wolken indirect effects aerosol clouds ddc:551 |
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indirekte Effekte Aerosol Wolken indirect effects aerosol clouds ddc:551 Quaas, Johannes Boucher, Olivier Bréon, François-Marie Aerosol indirect effects in POLDER satellite data and the Laboratoire de Météorologie Dynamique–Zoom (LMDZ) general circulation model |
description |
The POLDER-1 instrument was able to measure aerosol and cloud properties for eight months in 1996–1997. We use these observational data for aerosol concentration (the aerosol index), cloud optical thickness, and cloud droplet effective radius to establish statistical relationships among these parameters in order to analyze the first and second aerosol indirect effects. We also evaluate the representation of these effects as parameterized in the Laboratoire de Météorologie Dynamique–Zoom (LMDZ) general circulation model. We find a decrease in cloud top droplet radius with increasing aerosol
index in both the model and the observations. Our results are only slightly changed if the analysis is done at fixed cloud liquid water path (LWP) instead of considering all LWP conditions. We also find a positive correlation between aerosol index and cloud liquid water path, which is particularly pronounced over the Northern Hemisphere
midlatitudes. This may be interpreted as observational evidence for the second aerosol indirect effect on a large scale. The model-simulated relationship agrees well with that derived from POLDER data. Model simulations show a rather small change in the two
relationships if preindustrial rather than present-day aerosol distributions are used. However, when entirely switching off the second aerosol indirect effect in our model, we find a much steeper slope than we do when including it. |
author2 |
Laboratoire de Météorologie Dynamique, |
author_facet |
Laboratoire de Météorologie Dynamique, Quaas, Johannes Boucher, Olivier Bréon, François-Marie |
author |
Quaas, Johannes Boucher, Olivier Bréon, François-Marie |
author_sort |
Quaas, Johannes |
title |
Aerosol indirect effects in POLDER satellite data and the Laboratoire de Météorologie Dynamique–Zoom (LMDZ) general circulation model |
title_short |
Aerosol indirect effects in POLDER satellite data and the Laboratoire de Météorologie Dynamique–Zoom (LMDZ) general circulation model |
title_full |
Aerosol indirect effects in POLDER satellite data and the Laboratoire de Météorologie Dynamique–Zoom (LMDZ) general circulation model |
title_fullStr |
Aerosol indirect effects in POLDER satellite data and the Laboratoire de Météorologie Dynamique–Zoom (LMDZ) general circulation model |
title_full_unstemmed |
Aerosol indirect effects in POLDER satellite data and the Laboratoire de Météorologie Dynamique–Zoom (LMDZ) general circulation model |
title_sort |
aerosol indirect effects in polder satellite data and the laboratoire de météorologie dynamique–zoom (lmdz) general circulation model |
publisher |
Universitätsbibliothek Leipzig |
publishDate |
2015 |
url |
http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-177294 http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-177294 http://www.qucosa.de/fileadmin/data/qucosa/documents/17729/quaas_jgr_2004.pdf |
work_keys_str_mv |
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1718136735284592640 |