Published July 23, 2020 | Version 1
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Key lessons from the DACCIWA project for operational meteorological services

Creators

  • 1. Karlsruhe Institute of Technology
  • 2. University of Leeds
  • 3. European Centre for Medium-Range Weather Forecasting
  • 4. University of York
  • 5. University of Manchester
  • 6. University Félix Houphouët-Boigny
  • 7. University of Toulouse / CNRS
  • 8. Karlsruhe Institute of Technology,
  • 9. University of Reading and National Centre for Atmospheric Science
  • 10. University of Abomey-Calavi
  • 11. Kwame Nkrumah University of Science and Technology
  • 12. University of Reading

Description

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

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DACCIWA_Key_lessons_final.pdf

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Additional details

References
Dataset: 10.6096/dacciwa.1618 (DOI)
Dataset: 10.6096/dacciwa.1686 (DOI)
Dataset: 10.6096/ dacciwa.1702 (DOI)
Dataset: 10.6096/dacciwa.1690 (DOI)
Dataset: 10.6096/dacciwa.1659 (DOI)
Dataset: 10.6096/dacciwa.1663 (DOI)

Funding

DACCIWA – Dynamics-aerosol-chemistry-cloud interactions in West Africa 603502
European Commission