Key lessons from the DACCIWA project for operational meteorological services

info:eu-repo/classification/ddc/000 550 000 ddc:000 air pollution information & general works prediction life_on_land 15. Life on land sustainable_cities_and_communities Computer science numerical weather prediction models West Africa, weather, climate, air pollution, prediction, numerical weather prediction models, satellite data, field campaign 13. Climate action weather West Africa field campaign climate satellite data good_health_and_well_being climate_action affordable_and_clean_energy
DOI: 10.5281/zenodo.3957318 Publication Date: 2020-07-23
ABSTRACT
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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