Harlin P. Wilson Agricultural Museum, Shafter Air Quality Forecast - Today, Tomorrow
Air Quality Today
Today (10 October): Air quality in Harlin P. Wilson Agricultural Museum is moderate. AQI and NO2 are moderate; PM2.5 and O3 are fair; PM10, SO2, CO, HCHO, and PM1 are good. Pollution peaks around 4:00 PM (NO2: 53.3/100).
Air Quality Tomorrow
Tomorrow (11 October 2026): Air quality in Harlin P. Wilson Agricultural Museum is very poor. AQI worsens to very poor; PM2.5 increases to moderate; PM10 increases to fair; NO2 increases to very poor; PM1 increases to fair; all other pollutants stay as today. Pollution peaks around 4:00 PM (NO2: 85.1/100).
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Air Quality
Today - 10 October
| Pollutant | Level | Value |
|---|---|---|
| AQI | Moderate | 53.3/100 |
| PM2.5 (fine particles) | Fair | 27.9/100 |
| PM10 (coarse particles) | Good | 18.4/100 |
| NO2 (nitrogen dioxide) | Moderate | 53.3/100 |
| O3 (ozone) | Fair | 27.0/100 |
| SO2 (sulfur dioxide) | Good | 2.4/100 |
| CO (carbon monoxide) | Good | 0.6/100 |
| HCHO (formaldehyde) | Good | 2.6/100 |
| PM1 (ultrafine particles) | Good | 13.1/100 |
Tomorrow - 11 October
| Pollutant | Level | Value |
|---|---|---|
| AQI | Very poor | 85.1/100 |
| PM2.5 (fine particles) | Moderate | 40.2/100 |
| PM10 (coarse particles) | Fair | 25.5/100 |
| NO2 (nitrogen dioxide) | Very poor | 85.1/100 |
| O3 (ozone) | Fair | 31.7/100 |
| SO2 (sulfur dioxide) | Good | 4.3/100 |
| CO (carbon monoxide) | Good | 0.7/100 |
| HCHO (formaldehyde) | Good | 4.4/100 |
| PM1 (ultrafine particles) | Fair | 22.8/100 |
Local Environmental Conditions
With buildings covering much of the area around this location in Shafter, traffic and other urban emissions are the biggest local influence on air quality. On some days, pollution drifting in from farther away outweighs local sources. Exhaust from nearby roads is usually highest close to busy streets and junctions.
The cooler months, December to February, see more fine particles, as home heating and traffic add emissions while frequent calm, cold mornings around 8°C keep pollution near the ground. By contrast, warm, sunny weather from June to September, around 28°C at its peak, raises afternoon ozone levels. On any given day, wind and rain matter most: breezy or wet weather disperses pollution, while calm, dry spells let it build.
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Frequently Asked Questions About Air Quality in California
Is air quality bad in Harlin P. Wilson Agricultural Museum right now?
On 10 October 2026, overall air quality in Harlin P. Wilson Agricultural Museum is moderate. AQI is the main air quality indicator at 53.3/100. Pollution peaks around 4:00 PM (NO2: 53.3/100).
Will air quality be worse tomorrow in Harlin P. Wilson Agricultural Museum?
On 11 October 2026, air quality conditions in Harlin P. Wilson Agricultural Museum will be worse than today, with AQI forecast at very poor at 85.1/100. Pollution peaks around 4:00 PM (NO2: 85.1/100).
When is air pollution at its worst in Harlin P. Wilson Agricultural Museum?
The cooler months, December to February, see more fine particles, as home heating and traffic add emissions while frequent calm, cold mornings around 8°C keep pollution near the ground. By contrast, warm, sunny weather from June to September, around 28°C at its peak, raises afternoon ozone levels. On any given day, wind and rain matter most: breezy or wet weather disperses pollution, while calm, dry spells let it build.
Are air quality levels in Harlin P. Wilson Agricultural Museum based on measurements or forecasts?
It is forecasts derived by downscaling forecasts provided by EU’s Copernicus Atmosphere Monitoring Service (CAMS) by taking into account local conditions such as traffic patterns. CAMS bases its forecast on satellite measurements of particles and chemical compounds in the atmosphere. Airmine’s services were developed with support from the European Space Agency (ESA)’s Business Applications and Space Solutions (BASS) team.
Why doesn’t the forecast always reflect wildfire impacts?
Airmine’s forecast uses CAMS (Copernicus Atmosphere Monitoring Service) as its background atmospheric model. While CAMS includes wildfire emissions, these are derived from satellite observations and are not available in real time. During rapidly evolving wildfire events, there may therefore be a delay before increased emissions are incorporated into the model. As a result, the forecast may temporarily underestimate PM₂.₅ and other pollutants associated with wildfire smoke.
During rapidly evolving wildfire events, CAMS may lag by approximately 1–2 days before increased wildfire emissions are fully represented, which can lead to temporary underestimation of PM₂.₅ concentrations in Airmine’s forecast.
Understanding the Scale
The 0–100 air quality scores represent risk levels, not direct air pollutant concentrations. Higher scores indicate higher risk.
Air Quality
| Good | 0-20 | Low air quality risk. Air quality is expected to be good, with low levels of pollution. |
| Fair | 20-40 | Generally low air quality risk. Air quality is expected to be acceptable, with some pollution present. |
| Moderate | 40-60 | Moderate air quality risk. Air pollution is elevated and air quality may be less favorable. |
| Poor | 60-80 | High air quality risk. Air pollution is high and air quality is expected to be poor. |
| Very Poor | 80-100 | Very high air quality risk. Air pollution is very high and air quality is expected to be very poor. |