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The DACCIWA project: Dynamics-aerosol-chemistry-cloud interactions in West Africa

Authors :
Knippertz, Peter
Coe, Hugh
Chiu, J. Christine
Evans, Mat J.
Fink, Andreas H.
Kalthoff, Norbert
Liousse, Catherine
Mari, Celine
Allan, Richard P.
Brooks, Barbara
Danour, Sylvester
Flamant, Cyrille
Jegede, Oluwagbemiga O.
Lohou, Fabienne
Marsham, John H.
Institute for Meteorology and Climate Research (IMK)
Karlsruhe Institute of Technology (KIT)
School of Earth, Atmospheric and Environmental Sciences [Manchester] (SEAES)
University of Manchester [Manchester]
Department of Meteorology [Reading]
University of Reading (UOR)
Wolfson Atmospheric Chemistry Laboratories (WACL)
University of York [York, UK]
Laboratoire d'aérologie (LAERO)
Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP)
Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3)
Université Fédérale Toulouse Midi-Pyrénées
National Centre for Atmospheric Science [Leeds] (NCAS)
Natural Environment Research Council (NERC)
Kwame Nkrumah University of Science and Technology [GHANA] (KNUST)
TROPO - LATMOS
Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)
Obafemi Awolowo University (OAU)
Université Toulouse III - Paul Sabatier (UT3)
Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP)
Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3)
Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)
Kwame Nkrumah University of Science and Technology (KNUST)
Source :
Bulletin of the American Meteorological Society, Bulletin of the American Meteorological Society, American Meteorological Society, 2015, 96 (9), pp.1451-1460. ⟨10.1175/BAMS-D-14-00108.1⟩, Bulletin of the American Meteorological Society, 2015, 96 (9), pp.1451-1460. ⟨10.1175/BAMS-D-14-00108.1⟩, Bulletin of the American Meteorological Society, 96, 1451-1460
Publication Year :
2015
Publisher :
HAL CCSD, 2015.

Abstract

Massive economic and population growth, and urbanization are expected to lead to a tripling of anthropogenic emissions in southern West Africa (SWA) between 2000 and 2030. However, the impacts of this on human health, ecosystems, food security, and the regional climate are largely unknown. An integrated assessment is challenging due to (a) a superposition of regional effects with global climate change; (b) a strong dependence on the variable West African monsoon; (c) incomplete scientific understanding of interactions between emissions, clouds, radiation, precipitation, and regional circulations; and (d) a lack of observations. This article provides an overview of the DACCIWA (Dynamics–Aerosol–Chemistry–Cloud Interactions in West Africa) project. DACCIWA will conduct extensive fieldwork in SWA to collect high-quality observations, spanning the entire process chain from surface-based natural and anthropogenic emissions to impacts on health, ecosystems, and climate. Combining the resulting benchmark dataset with a wide range of modeling activities will allow (a) assessment of relevant physical, chemical, and biological processes; (b) improvement of the monitoring of climate and atmospheric composition from space; and (c) development of the next generation of weather and climate models capable of representing coupled cloud–aerosol interactions. The latter will ultimately contribute to reduce uncertainties in climate predictions. DACCIWA collaborates closely with operational centers, international programs, policymakers, and users to actively guide sustainable future planning for West Africa. It is hoped that some of DACCIWA’s scientific findings and technical developments will be applicable to other monsoon regions.

Details

Language :
English
ISSN :
00030007, 15200477, and 14511460
Database :
OpenAIRE
Journal :
Bulletin of the American Meteorological Society, Bulletin of the American Meteorological Society, American Meteorological Society, 2015, 96 (9), pp.1451-1460. ⟨10.1175/BAMS-D-14-00108.1⟩, Bulletin of the American Meteorological Society, 2015, 96 (9), pp.1451-1460. ⟨10.1175/BAMS-D-14-00108.1⟩, Bulletin of the American Meteorological Society, 96, 1451-1460
Accession number :
edsair.doi.dedup.....9790c297765ff7ae4a68aaf6bde13dec
Full Text :
https://doi.org/10.1175/BAMS-D-14-00108.1⟩