Air Quality Forecasting - also refered as 'Atmospheric Dispersion Modeling' (wikipedia) is the art of simulating how air pollutants (eg PM_2.5 or Ozone) disperse is the ambient atmosphere. The result of the simulation gives the ambient concentration for each air pollutants, from which the Air Quality Index can be calculated.

There are dozens of dispertion models, and many universities and institutions arround the world are running one or several of them for different regions (eg Europe, Continental US, Asia ...). Below is the a non-exaustive and selected list of few models which are beeing used for providing Air Quality forecast on the "World Air Quality Index" project.

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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?

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You can click on any of the forecast map to see the real-time forecast animation, as well as the model efficiency analysis.

SPRINTARS Asia
Spectral Radiation-Transport Model for Aerosol Species

SPRINTARS East Asia
Spectral Radiation-Transport Model for Aerosol Species

MPIM China
Max Planck Institut fur Meteorologie

SILAM Asia
System for Integrated modeLling of Atmospheric coMposition

CAMS Asia / Panda
Copernicus Atmosphere Monitoring Service NRT

CAMS Europe
Copernicus Atmosphere Monitoring Service NRT

EMEP Europe
European Monitoring and Evaluation Program

CAMS World
Copernicus Atmosphere Monitoring Service NRT

SILAM World
System for Integrated modeLling of Atmospheric coMposition

NGAC
NOAA NEMS GFS Aerosol Component

GFS
Global Forecast System

NCEP EMP AQM
Air Quality Model (AQM) Product

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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.

Detailled Air Quality Forecast is available for more than 600 cities: Or just pick any of those cities: 北京, 上海, 成都, 沉陽, 深圳, 廣州, 青島, 西安, 天津, 埼玉, 京都, 大阪市, 首爾特別市, 釜山廣域市, 波哥大, 德里, 雅加達, Ulaanbaatar, 河內, 金奈, 加爾各答, 孟買, 海得拉巴, 聖地亞哥, 利馬, 聖保羅, 基多, 新加坡, 吉隆坡, 怡保, Perai, 美裡, 紐約, Seattle, 芝加哥, 波士頓, Atlanta.

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.

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 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.

本網站採用的污染指數和顏色與EPA是完全相同的。 EPA的指數可以從 AirNow上查到

空气质量指数	空气质量指数级别（状况）及表示颜色	对健康影响情况	建议采取的措施
0 - 50	一级（优）	空气质量令人满意，基本无空气污染	各类人群可正常活动
51 -100	二级（良）	空气质量可接受，但某些污染物可能对极少数异常敏感人群健康有较弱影响	极少数异常敏感人群应减少户外活动
101-150	三级（轻度污染）	易感人群症状有轻度加剧，健康人群出现刺激症状	儿童、老年人及心脏病、呼吸系统疾病患者应减少长时间、高强度的户外锻炼
151-200	四级（中度污染）	进一步加剧易感人群症状，可能对健康人群心脏、呼吸系统有影响	儿童、老年人及心脏病、呼吸系统疾病患者避免长时间、高强度的户外锻炼，一般人群适量减少户外运动
201-300	五级（重度污染）	心脏病和肺病患者症状显著加剧，运动耐受力降低，健康人群普遍出现症状	儿童、老年人及心脏病、肺病患者应停留在室内，停止户外运动，一般人群减少户外运动
300+	六级（严重污染）	健康人群运动耐受力降低，有明显强烈症状，提前出现某些疾病	儿童、老年人和病人应停留在室内，避免体力消耗，一般人群避免户外活动

(参考详见 http://zh.wikipedia.org/wiki/空气质量指数)

如果你想了解更多有關空氣質量與污染，詳見維基百科或者 AirNow

有關健康建議詳​​見北京的Richard Saint Cyr MD醫生的博客：www.myhealthbeijing.com