Lima Air Quality Forecast

Forecast plotted using timezone -05:00
Sat 22nd
25°C
21°C
Sun 23rd
26°C
21°C
Mon 24th
25°C
21°C
Tue 25th
26°C
21°C
Wed 26th
25°C
21°C
PM2.5
98
87
89
87
103
92
104
77
77
65
58
50
56
51
61
56
62
60
65
64
79
67
82
59
55
43
38
36
53
43
59
54
62
59
81
68
115
88
120
76
78
67
59
54
62
57
74
63
84
79
96
90
133
101
140
76
70
64
57
48
60
52
74
62
81
80
89
82
128
93
145
104
103
79
67
51
51
48
PM10
44
39
42
40
49
44
49
33
32
26
23
21
22
21
24
23
25
24
29
27
38
31
39
23
21
18
18
17
20
18
24
21
26
24
33
28
48
36
51
30
30
26
24
23
29
26
34
30
39
36
46
42
57
48
59
31
27
24
21
19
28
23
35
29
38
38
43
39
57
46
59
45
43
30
24
18
20
18
O3
1
1
1
1
3
1
17
6
24
22
19
10
5
1
1
1
1
1
1
1
3
1
15
5
18
16
13
7
3
1
1
1
1
1
1
1
2
1
17
4
24
21
17
9
3
1
1
1
1
1
1
1
2
1
11
2
20
16
17
8
3
1
1
1
1
1
1
1
1
1
17
3
25
23
19
9
4
2
UVI
2
11
11
4
3
12
12
4
2
12
12
5
2
11
11
4
1
Saturday 22ndSunday 23rdMonday 24thTuesday 25thWednesday 26
hour
0369121518210369121518210369121518210369121518210369121518
Wind Speed (m/s)
322224543222245433222344332223444322234







































Temp.
23°22°21°21°22°24°25°24°22°21°21°21°21°24°25°25°23°22°21°21°22°24°25°24°23°22°21°21°21°23°26°25°23°22°21°21°21°24°25°
UVI:
11


6:13 ~ 18:19
UVI:
11+


6:13 ~ 18:18
UVI:
11+


6:13 ~ 18:18
UVI:
11


6:13 ~ 18:17
UVI:
1


6:13 ~ 18:16
Latest forecast updates:
fine particulate matter: 18 hours ago [Mar 21, 2025 8:44 PM]
ozone: 18 hours ago [Mar 21, 2025 8:49 PM]
Share: aqicn.org/forecast/lima/
Other Cities

The detailed forecast analysis is also available for other cities:

Or just select 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, Saopaulo, Quito, Singapore, Kuala-lumpur, Ipoh, Perai, Miri, New York, Seattle, Chicago, Boston, Atlanta

For other cities, countries or pollutants, please refer to world air quality forecast maps:

https://waqi.info/forecast/

Forecast Map

1Speed(FPS): 18
Sat 02Mon 04Wed 06Fri 08Jan 10Friday 1st, 0:00 (UTC)
Marker
500 km
500 mi
Leaflet Map Data: © OpenStreetMap contributors; Map render © Tracestrack

City Forecast

Model Comparison

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 being analyser, check the forecast models page: https://aqicn.org/forecast/models/

Forecast Analysis

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 AQI 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).

Do you know of any Air Quality stations in your area?
why not participate to the map with your own air quality station?

Our GAIA air quality monitors are very easy to set up: You only need a WIFI access point and a USB compatible power supply.

Once connected, your real time air pollution levels are instantaneously available on the maps and through the API.

The station comes with a 10-meter water-proof power cable, a USB power supply, mounting equipment and an optional solar panel.

Click for more information

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.

World
Asia
Europe
South America
North America
Oceania
Africa
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.



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, send us a message with the form below and we will contact you asap!

    Forecast Model Sources

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

    The above map is based on the PM2.5 surface level modeling, and colors are following the US EPA AQI standard.

    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.



    Settings


    Language Settings:


    Temperature unit:
    Celcius