INTRODUCTION TO PYTHON/QGIS PROGRAMMING FOR AIR POLLUTION DATA PROCESSING
21^st  and 28^th February 2022

Natural and anthropogenic activities drive dust movement around the world. An understanding of dust dynamics will help in mitigating the health implication.  The dearth of data on particulate matter in developing countries make it difficult to understand its behaviour and drivers.  Recently, the Centre for Atmospheric Research of the National Space Research and Development Agency, in partnership with the Alliance for Education, Science, Engineering and Design in Africa (AESEDA) of the Penn State University, USA, deployed low-cost Purple Sensors across Nigeria and some other West African countries. These sensors, for the first time, provide insight on ground observations into the movement of dust across the region.

This training will cover the Purple Air campaign globally, with Nigeria as a case study.  Participants will be trained on how to access, manipulate, and process Purple Air data using Python.  Topics to be covered include: Dust dynamics in Nigeria, introduction to Python environment, acquiring Purple air sensor data, data quality assessment, and analysis of data using Python.

The training is scheduled as follows:

Day 1:             Monday, 21^st February 2022, 1200-1800 UTC (1300-1900 Nigerian Time)

Day 2:             Monday 28^th February, 2022, 1200-1800 UTC (1300-1900 Nigerian Time)

Interested participants should apply here

Deadline for registration is 15^th February 2022.