beijing air quality forecast-利来app

beijing air quality forecast-利来app

share: aqicn.org/forecast/beijing/
other cities
the detailled forecast analysis is also availalbe for other cities: or just pick any of those cities: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , .
for other cities, countries or pollutants, please refer to the world air quality forecast.

this section is experimental. it provides the comparison for the prediction for several individual forecast models

for a full list of all air quality forecast models beeing analysed, check the page.
how accurate are the forecasts? check the correlation graphs below for pm2.5, 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 pm2.5 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. for a full list of all forecast model and polutants, check the 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 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 and we will contact you asap!
  • the above prediction is based on composite meta model, computed using several air quality forecasting systems (aqfs):
    • the (sprintars) model from kyushu university.
    • the by zhejiang experts in experimental sciences (pm2.5科学实验专家小组).
    • the , by the korean integrated air quality forecast center(대기질 통합예보센터).
    • the (cams) near-realtime surface ensemble forecast , by the ecmwf.
    • the (silam) by the finnish meteorological institute (fmi).
    • the (mpim) model.
    • the (aqm) by the noaa/ncep.
    • the (raqdps) model from the government of canada.
    • the (belgian interregional environment agency) for the belgian regions.
    • the (laboratoire central de surveillance de la qualité de l’air) for france.
    • the (rijksinstituut voor volksgezondheid en milieu) for the netherlands.
    • the (system for integrated modelling of atmospheric composition) for northen europe.
    • the (european air pollution dispersion) for central europe.
    the above map is based on the pm2.5 surface level modeling, and colors are following the .
    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 .

    about the air quality levels

    aqiair pollution levelhealth implicationscautionary 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 or the .

    for very useful health advices of beijing doctor richard saint cyr md, check 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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