Training Course on Seamless Prediction of Air Pollution in Africa
Start Date:
Sept. 12, 2024
City:
Cairo
Country:
Egypt
Region:
Africa
Description:
The World Meteorological Organization (WMO) offers a comprehensive training course on Seamless Prediction of Air Pollution in Africa and related data products. This training event is being organised by the WMO Education and Training Office in collaboration with the WMO World Climate Research Programme (WCRP), the WMO Global Atmospheric Watch (GAW) programme and the GAW's initiatives on Prediction and Forecasting Improvement for Africa (PREFIA) and Global Air Quality Forecasting and Information System (GAFIS), as well as, University of Hertfordshire, University of Pretoria, Northeastern University, Copernicus Atmosphere Monitoring Service (CAMS), European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT).
The event will be held considering online and in-person sessions. Online sessions will be organised on 12-25 September 2024. These online webinars aim to introduce the participants to basic concepts of air quality processes, modelling, observations and applications. In-person training will be held at the Egyptian Meteorological Authority (EMA), Cairo, from the 1st of October to the 4th of October 2024. The in-person course aims to introduce the participants to the main principles of air quality and meteorological modelling for African applications and related data products, as well as, the means to implement these tools for African applications.
A further aim of the training is to build and strengthen local capacity in Africa on air quality prediction and forecasting, and to promote the use of data products. The participants will also be able to participate in a science workshop on air quality research for Africa that will be held in conjunction with the training school on 30th September 2024.
Targeted Audience:
The primary audience will be meteorologists working in operational NWS from WMO RA-I Members, specialized technicians, and students of master/Ph.D. programmes. Participants should have at least a bachelor's degree or have an equivalent level of academic background in atmospheric science. Forecasters are expected to have at least 2 years of work experience, knowledge of meteorology and sufficient command of spoken and written English language.