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How accurate are the forecasts? Check the correlation graphs below for PM_2.5, PM₁₀ and Ozone for the past 30 days. (Note that all values are based on the AQI, and that a maximum threshold of 300 is used).


Past month PM_2.5 AQI short-term forecast analysis.
In the above graph, the forecast is data is the forecast one day in advance (i.e. the forecast computed today for tomorrow).

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.

세계

아시아

유럽

남아메리카

북아메리카

Oceania

Africa

중동

중국

For a full list of all forecast model and polutants, check the forecast/model page.

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.

Cooperation needed!

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?

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The above prediction is based on composite meta model, computed using several Air Quality Forecasting Systems (AQFS):

• The Spectral Radiation-Transport Model for Aerosol Species (Sprintars) model from Kyushu University.
• The China National Air Quality forecast by Zhejiang Experts in Experimental Sciences (PM2.5科学实验专家小组).
• The Air Korea Air Quality forecast, by the Korean Integrated Air Quality forecast center(대기질 통합예보센터).
• The Copernicus Atmosphere Monitoring Service (CAMS) near-realtime surface ensemble forecast , by the ECMWF.
• The System for Integrated modeLling of Atmospheric coMposition (SILAM) by the Finnish Meteorological Institute (FMI).
• The Max Planck Institut fur Meteorologie (MPIM) model.
• The Ozone Air Quality Model (AQM) by the NOAA/NCEP.
• The Regional Air Quality Deterministic Prediction System (RAQDPS) model from the Government of Canada.
• The irCELine (Belgian Interregional Environment Agency) for the Belgian Regions.
• The LCSQA (Laboratoire Central de Surveillance de la Qualité de l’Air) for France.
• The RIVM (Rijksinstituut voor Volksgezondheid en Milieu) for the Netherlands.
• The SILAM (System for Integrated modeLling of Atmospheric coMposition) for Northen Europe.
• The EURAD (EURopean Air Pollution Dispersion) for Central Europe.

The above map is based on the PM_2.5 surface level modeling, and colors are following the US EPA AQI standard.

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 Dispertion Modeling), check the article on a visual study of wind impact of PM_2.5 concentration.

대기질 지수 단계에 대하여

AQI	지수구분	구간의미
0 - 50	좋음	대기오염 관련 질환자군에서도 영향이 유발되지 않을 수준
51 -100	보통	환자군에게 만성 노출시 경미한 영향이 유발될 수 있는 수준
101-150	민감군영향	환자군 및 민감군에게 유해한 영향이 유발될 수 있는 수준
151-200	나쁨	환자군 및 민감군(어린이, 노약자 등)에게 유해한 영향 유발, 일반인도 건강상 불쾌감을 경험할 수 있는 수준
201-300	매우나쁨	환자군 및 민감군에게 급성 노출시 심각한 영향 유발, 일반인도 약한 영향이 유발될 수 있는 수준
300+	위험	환자군 및 민감군에게 응급 조치가 발생되거나, 일반인에게 유해한 영향이 유발될 수 있는 수준

(Reference: see airkorea.or.kr)

대기질과 오염에 대해 더 많은 것을 알아보려면 위키피디아의 대기질 문서(영어)을 보거나 대기질과 건강에 대한 AirNow 가이드(영어)를 참조해보세요.

매우 유용한 베이징의 의학박사 Richard Saint Cyr MD의 건강 관련 팁을 보려면 www.myhealthbeijing.com 의 블로그를 확인하세요.