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PM2.5 Concentration (µg/m³)

PM2.5 - Attributable Fraction (%)
Regional trends (2000–2019)
Click a country on the map to view its trend
Summary statistics

Data API

Programmatic access to air pollution forecasts and mortality data for registered users.

Authentication

All endpoints require a Bearer token obtained by logging in. Pass it in every request header:

Authorization: Bearer <your-token>
Please log in to view your API token and use the interactive demo.

Forecast Data

Daily air pollution forecasts for PM2.5, PM10, NO2 and O3 on a global 0.1° land grid (EPSG:4326), as GeoTIFF files. Each file has two bands: mean (forecast concentration, µg/m³) and sd (its uncertainty).

Issue date vs forecast date

Issue date
The day the forecast was made (a UTC date from 3 Oct 2026; an Australia/Melbourne date before that). A new forecast is issued every day.
Lead day
0 to 4: how many days ahead of the issue date the forecast looks (0 to 5 for issues before 3 Oct 2026).
Forecast date
The day the values describe: issue date + lead day. From 3 Oct 2026, values cover the UTC calendar day (00:00–24:00 UTC): the daily mean for PM2.5, PM10 and NO2, and the daily maximum 8-hour mean (MDA8) for O3. Earlier issues averaged over each location's own local calendar day.

Each issue covers 5 forecast dates (6 before 3 Oct 2026). For the latest issue, …:

Lead dayForecast dateAPI path
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GET /api/forecast List issue dates, and the forecast dates in each issue
GET /api/forecast/grid/:pollutant/:issueDate/:leadDay Download one GeoTIFF (mean, sd) for one forecast date
ParameterValuesExample
pollutantpm25, pm10, no2, o3pm25
issueDateYYYY-MM-DD: the issue date, one of available_dates from /api/forecast…
leadDay0–4 (0–5 before 3 Oct 2026); forecast date = issue date + lead day2 = …

Saved files are named with both dates, e.g. pm25_issued-YYYY-MM-DD_lead2_forecast-YYYY-MM-DD.tif. Cells over oceans and outside the model's land grid (latitudes −55° to 83°) are empty (NoData).

Which dates are available

The API serves forecasts from the current model, which started in September 2026. A new issue is added every day, but not every calendar date has one. GET /api/forecast lists every issue you can download (currently …).

Older forecasts are not available through the API. Issue dates from 27 Oct 2025 to 22 Sep 2026 were produced by an earlier version of the model. They are a different product and should not be mixed with current forecasts:

Current model (API)Earlier model (before 23 Sep 2026)
Bandsmean and sd (uncertainty)mean only, no uncertainty
Daily average overthe UTC calendar day from 3 Oct 2026 (each location's local calendar day before that)the UTC calendar day
Grid0.1° cells with edges on whole 0.1° lines0.1° cells shifted by half a cell
ValuesDifferent model versions, so values are not directly comparable

If you need the earlier forecasts for research, please contact sphpm@monash.edu.

Download a forecast file

GET

Download with code

Mortality Data

Attributable deaths, attributable fraction, and mortality rates by country, region, and globally. Years: 2000–2019 (coldwave: 2001–2019).

GET /api/mortality/national National-level data (170+ countries)
GET /api/mortality/global Global summary statistics
GET /api/mortality/regional Continental breakdown
ParameterValuesApplies to
datasetpm25, coldwave, tv, fireall
year2000–2019 (coldwave: 2001–2019)all
countryISO3 code (e.g. AUS)national
continentAsia, Africa, Americas, Europe, Oceanianational, regional

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Admin Dashboard

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About this Project

A comprehensive environmental health monitoring system for real-time forecasting and assessment

Climate, Air Quality Research Team

This project, developed by the Climate, Air Quality Research (CARE) group at Monash University's School of Public Health and Preventive Medicine, goes beyond traditional air quality monitoring. Our research team is dedicated to advancing understanding of environmental exposures including air quality, climate impacts, and other environmental health determinants. We develop innovative forecasting models and real-time monitoring solutions to help communities understand and respond to environmental health challenges. Through our platform, users can visualize global air pollution patterns, access forecasts, and gain insights into how environmental exposures affect public health. We collaborate with government agencies, health organizations, and communities to translate research into actionable insights that improve environmental health outcomes.

Contact Information

Address

Monash University
School of Public Health and Preventive Medicine
553 St Kilda Road
Melbourne VIC 3004
Australia

Phone

T: +61 3 9905 6100

Email

sphpm@monash.edu

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