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Air Quality forecast in Africa
Spectral Radiation-Transport Model for Aerosol Species

Show forecast animation for :
PM2.5

City Forecast

Note: The colors used for PM2.5, PM10 and Ozone (O3) are based on the US EPA standard. The colors used for Nitrogen Dioxide (NO2), Sulphure Dioxide (SO2) and Carbon Monoxyde (CO) are based on an arbitrary color standard which best matches the concentration range. It does not have any relation with the AQI breakpoints, as in most cases, the AQI for those 3 gases is most often below 50.

Air Quality Forecasts Models

There are many forecast models, for different regions of the globe - below are few of them.

Just click on any of them to see the animated map for the given model.

Africa
Cams
Ngac
Silam
Sprintars
World
Asia
Europe
South America
North America
Oceania
Middle East
China

For a full list of all Air Quality Forecast models being analyser, check the forecast models page: https://aqicn.org/forecast/models/



Please note that all above analysis are done on the World Air Quality Index (WAQI) project own budget.

We did not receive any subsidies from any of the intuitions publishing Air Quality forecast models.



Detailed City Air Quality Forecast

Detailed Air Quality Forecast is available for more than 600 cities:

Or just pick any of those cities:

Beijing, Shanghai, Chengdu, Shenyang, Shenzhen, Guangzhou, Qingdao, Xian, Tianjin, Saitama, Kyoto, Osaka, Seoul, Busan, Bogota, Delhi, Jakarta, Ulaanbaatar, Hanoi, Chennai, Kolkata, Mumbai, Hyderabad, Santiago, Lima, Saopaulo, Quito, Singapore, Kuala-lumpur, Ipoh, Perai, Miri, New York, Seattle, Chicago, Boston, Atlanta.

Explanations & Credits

For more information about Sprintars, please refer to http://sprintars.riam.kyushu-u.ac.jp/ and to the following research articles:
  • Takemura, T., H. Okamoto, Y. Maruyama, A. Numaguti, A. Higurashi, and T. Nakajima, 2000: Global three-dimensional simulation of aerosol optical thickness distribution of various origins. Journal of Geophysical Research, 105, 17853-17873.
  • Takemura, T., T. Nakajima, O. Dubovik, B. N. Holben, and S. Kinne, 2002: Single-scattering albedo and radiative forcing of various aerosol species with a global three-dimensional model. Journal of Climate, 15, 333-352.
  • Takemura, T., T. Nozawa, S. Emori, T. Y. Nakajima, and T. Nakajima, 2005: Simulation of climate response to aerosol direct and indirect effects with aerosol transport-radiation model. Journal of Geophysical Research, 110, D02202, doi:10.1029/2004JD005029.
Share: aqicn.org/forecast/africa/sprintars/

Future Improvements

We need your help

Help is needed for keeping the world-wide Air Quality forecast model inventory up-to-date.

  • Do you know any model not listed below but for which gridded data is available?
  • Do you know better accuracy analysis solutions which should be used here?
  • Have you done a similar research and you would like to publish it here?

    • If yes, drop us a message from the contribute page and we will contact you asap!

    Disclaimer

    This forecasting model, and all AQFS which it is based on, are research products intended to provide information related to Air Quality forecast. All reasonable measures have been taken to ensure its quality and accuracy. However:

    • We do not make warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, correctness, completeness of the information.
    • We do not assume any legal liability or responsibility for any damage or loss that may directly or indirectly result from any information contained on this website or any actions taken as a result of the content of this website;
    • We may change, delete, add to, or otherwise amend information contained on this website without notice

    For more information about the underlying concepts of Air Quality forecasting (or Atmospheric Dispersion Modeling), check the article on a visual study of wind impact of PM2.5 concentration.

    About the Air Quality and Pollution Measurement:

    About the Air Quality Levels

    AQI Air Pollution Level Health Implications Cautionary Statement (for PM2.5)
    0 - 50 Good Air quality is considered satisfactory, and air pollution poses little or no risk None
    51 -100 Moderate Air quality is acceptable; however, for some pollutants there may be a moderate health concern for a very small number of people who are unusually sensitive to air pollution. Active children and adults, and people with respiratory disease, such as asthma, should limit prolonged outdoor exertion.
    101-150 Unhealthy for Sensitive Groups Members of sensitive groups may experience health effects. The general public is not likely to be affected. Active children and adults, and people with respiratory disease, such as asthma, should limit prolonged outdoor exertion.
    151-200 Unhealthy Everyone may begin to experience health effects; members of sensitive groups may experience more serious health effects Active children and adults, and people with respiratory disease, such as asthma, should avoid prolonged outdoor exertion; everyone else, especially children, should limit prolonged outdoor exertion
    201-300 Very Unhealthy Health warnings of emergency conditions. The entire population is more likely to be affected. Active children and adults, and people with respiratory disease, such as asthma, should avoid all outdoor exertion; everyone else, especially children, should limit outdoor exertion.
    300+ Hazardous Health alert: everyone may experience more serious health effects Everyone should avoid all outdoor exertion

    To know more about Air Quality and Pollution, check the wikipedia Air Quality topic or the airnow guide to Air Quality and Your Health.

    For very useful health advices of Beijing Doctor Richard Saint Cyr MD, check www.myhealthbeijing.com blog.


    Usage Notice: All the Air Quality data are unvalidated at the time of publication, and due to quality assurance these data may be amended, without notice, at any time. The World Air Quality Index project has exercised all reasonable skill and care in compiling the contents of this information and under no circumstances will the World Air Quality Index project team or its agents be liable in contract, tort or otherwise for any loss, injury or damage arising directly or indirectly from the supply of this data.



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