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Key lessons from the DACCIWA project for operational meteorological services

Knippertz, Peter; Marsham, John H; Benedetti, Angela; Evans, Mat J; Fink, Andreas H; Kniffka, Anke; van der Linden, Roderick; Dearden, Christopher; Deetz, Konrad; Haslett, Sophie L; Keita, Sekou; Lohou, Fabienne; Maranan, Marlon; Mollard, James D. P.; Pante, Gregor; Reinares Martínez, Irene; Young, Matthew; Akpo, Aristide; Adler, Bianca; Amekudzi, Leonard; Babić, Karmen; Chaboureau, Jean-Pierre; Chiu, J. Christine; Coe, Hugh; Dione, Cheikh; Leal-Liousse, Catherine; Hill, Peter; Kalthoff, Norbert; Vogel, Bernhard; Yoboué, Véronique


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    <subfield code="a">&lt;p&gt;This document describes the conclusions of the&amp;nbsp;EU-funded project Dynamics-&amp;nbsp;Aerosol-Chemistry-Cloud Interactions in West Africa (DACCIWA)&amp;nbsp;directly&amp;nbsp;relevant to operational meteorological services.&amp;nbsp;DACCIWA&amp;nbsp;produced&amp;nbsp;the most comprehensive observational dataset of the atmosphere over&amp;nbsp;densely populated&amp;nbsp;southern West Africa to date and used this dataset to foster&amp;nbsp;our understanding of atmospheric&amp;nbsp;processes, and to evaluate dynamical&amp;nbsp;models and satellite data. With this document DACCIWA aims to help improve atmospheric predictions across time-scales, which are important for the&amp;nbsp;development of greater&amp;nbsp;resilience of the West African population to&amp;nbsp;hazardous weather and climate change.&amp;nbsp;&lt;/p&gt;</subfield>
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