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
AUTHORS (30)
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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