Enhancing Air Quality Decision-Making Activity in Eastern and Southern Africa (E&SA)

NASA

Overview

Plot showing average NO2 over Eastern and Southern Africa - 2020

Plot showing NO2 Air Pollutant over Eastern and Southern Africa in 2020

UCAR

This project entitled “Enhancing air quality decision-making activity in Eastern and Southern Africa (E&SA)” aims to utilize chemical data assimilation to co-design and co-develop a regional air quality forecasting system together with local scientists that will provide near-real-time and next-two-days information about air quality to the public and decision-makers. In addition to enhanced air quality forecasts, this project creates an atlas of air quality to track past changes in air quality over E&SA from 2003-2022. To enhance the usability of the air quality information we will also co-create a dissemination system and provide educational training and tools. This project has been funded by the National Aeronautics and Space Administration (NASA).

World map and regional map depicting the domain of forecast runs over eastern and Southern Africa

Domain of Air Quality Forecast Runs over Eastern and Southern Africa

UCAR

In response to our stakeholders survey results on easy to use analysis tools for analyzing past changes in air quality, we have created a Jupyter notebook designed to visualize seasonal averages and perform trend analysis using data from the Copernicus Atmosphere Monitoring Service (CAMS) ECMWF Atmospheric Composition Reanalysis 4 (EAC4). Use the GitHub link below to download the python jupyter notebook and a python code to download CAMS data. You can also directly download CAMS data from their website.

GitHub Python Jupyter Notebook and  CAMS Data Download

 

Monthly NO2 trend over the city of Nairobi which shows positive NO2 trend

Monthly NO2 trend over the city of Nairobi which shows positive NO2 trend based on Copernicus Atmosphere Monitoring Service (CAMS)  dataset.

UCAR

Monthly NO2 trend over the city of Kigali which shows positive NO2 trend

Monthly NO2 trend over the city of Kigali which shows positive NO2 trend based on Copernicus Atmosphere Monitoring Service (CAMS)  dataset.

UCAR

Publications

Resources

  • Python Jupyter Notebook and a Python Code to Download CAMS data (GitHub)

Contact

Please direct questions/comments about this page to:

Rajesh Kumar

Deputy Director

email

Shima Shams

Project Scientist I

email

Forrest Lacey

Project Scientist I

email

Carl Drews

Software Engineer III

email