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Wildfire smoke Corroborated

2025-06-07 wildfire smoke episode affecting Rochester, NY, Syracuse, NY

June 7, 2025 to June 8, 2025

Daily PM2.5 peaked at 49.4 µg/m³ near Rochester across 2 covered metros home to 1.7 million people. 1 metro placed a top-ten day in their record.

Counting the extra PM2.5 above each metro's typical day, this event handed the average affected resident ≈ 2.7 cigarettes. Across everyone living in the affected metros, that is the collective equivalent of ≈ 4.5 million cigarettes. An awareness illustration of outdoor exposure at 22 µg/m³ per cigarette (Berkeley Earth), counting only the event's ranked days; not a medical dose.

Why we think this happened

The basis for “Wildfire smoke”

The supplied retained evidence supports wildfire smoke for this event; no supplied evidence establishes membership in a broader time-bounded episode.

Corroborated Independent reporting agrees on the cause, with no agency determination, monitor flag, or published assessment behind it.

See every retained source and limitation ↓

Sequence: Rochester (Jun 7) → Syracuse (Jun 8)

Evidence path

From source to city

A cause is more convincing when the record connects three things: something happened, the air mass moved toward the region, and local instruments responded. Here is how much of that chain is documented for this event.

Open the evidence ledger ↓
  1. 1

    Source or mechanism

    Wildfire smoke

    News10NBC explicitly reported that Canadian wildfire smoke caused Rochester's June 7 haze and affected local air quality.

    View supporting source ↗
    Documented
  2. 2

    Air-mass movement

    The transport path has not been reconstructed

    The retained record does not yet show how air traveled from the proposed source to these metros. A trajectory replay or dated plume analysis belongs here.

    Research gap
  3. 3

    Local response

    49.4 µg/m³ near Rochester

    EPA monitors recorded the event across 2 metros. The peak daily concentration is roughly 2.2 cigarette-equivalents at the outdoor daily rate.

    Inspect the pollutant and weather signals ↓
    Documented

Event autopsy

What the instruments saw

Before, during, and after the episode: nearby pollutant monitors and surface-weather stations show what changed. This context tests the “Wildfire smoke” explanation; it does not assign the cause by itself.

Observed context · not attribution

Rochester, NY

Monitor comparison window 2025-06-04 to 2025-06-11 · PM2.5 target: Rochester Near-Road

5 pollutant signals
Fine-particle pulse 40.8 µg/m³

135% above nearby days

Air movement 3.50 kt

About the same as surrounding days

Carbon monoxide 0.385 ppm

9% higher than surrounding days

Pollution fingerprint

Metro-wide median of reporting monitors
PM2.5 40.8 µg/m³

135% higher than surrounding days

Before18.5 µg/m³ Event40.8 µg/m³ After6.93 µg/m³
2 monitors · 1 HOUR
Carbon monoxide 0.385 ppm

9% higher than surrounding days

Before0.348 ppm Event0.385 ppm After0.285 ppm
2 monitors · 1 HOUR
Nitrogen dioxide 5.91 ppb

About the same as surrounding days

Before6 ppb Event5.91 ppb After5.64 ppb
1 monitor · 1 HOUR
Sulfur dioxide -0.196 ppb

10% higher than surrounding days

Before-0.267 ppb Event-0.196 ppb After-0.208 ppb
1 monitor · 1 HOUR
Ozone 0.036 ppm

About the same as surrounding days

Before0.033 ppm Event0.036 ppm After0.040 ppm
2 monitors · 8-HR RUN AVG BEGIN HOUR

Atmospheric conditions

Nearby EPA weather observations
Humidity 68 %

About the same as surrounding days

Pressure 994 Millibars

About the same as surrounding days

Temperature 67 °F

About the same as surrounding days

Wind 3.50 kt

About the same as surrounding days

Source: U.S. EPA AirData daily observations and, where available, nearby ASOS/AWOS surface observations. Values are descriptive medians over the retained monitor set; missing measurements remain missing. Transport and source evidence remain separate layers because this instrument pattern does not assign a cause by itself.

Measured daily PM2.5 at EPA monitors, as cigarette-equivalents
EPA monitors sit in metro areas, so the colour clusters there. Land between and beyond them is unmeasured, not clean: this map shows where IAQng has readings, not the extent of the smoke.

Episode peak

-- cigarettes

The smoke map's scale, replayed over this event: the surface interpolates between covered metros' daily records, framed to the affected region. Hover for a reading, click a metro to pin it to the card. Days a monitor did not report draw nothing.

Views from the selected metro

Camera views near

Browse the camera map →

Select a metro on the map to see nearby cameras. Where an operator archive reaches the event, drag the divider to compare two moments, adjust either date and time, or play the available event-day frames. Camera imagery is visual context, not an air-quality measurement or proof of smoke.

Affected metros

MetroPeak PM2.5Cigarettes, whole eventPeak dayAll-time standing
Rochester, NY 49.4 µg/m³ 4.0 Jun 7, 2025 #6 of its top days
Syracuse, NY 36.5 µg/m³ 1.7 Jun 8, 2025 #23 of its top days

"Cigarettes, whole event" totals a metro's ranked event days at 22 µg/m³ per cigarette: what a person outdoors there breathed across the event, as the illustration. "All-time standing" is where this episode's days sit in each metro's ranked record (worst-area measure, since 1999). Full local context is on each metro's Air Records page.

Public evidence library

What supports this account

Each card states what a source supports—and what it does not. Official records, research, reporting, community observations, and transparent inferences remain visibly different kinds of evidence.

News discovery (GDELT) 1

gdelt-doc-api 3

Status and provenance

Corroborated Independent reporting agrees on the cause, with no agency determination, monitor flag, or published assessment behind it.

This episode was grouped from the monitor record by the catalog pipeline and given its cause from the evidence listed above. It has not been individually reviewed and signed off, so its boundaries, cause, and name may change as evidence accumulates. Grouping policy common_sense_root_cause_grouping.v2. The cause label reflects the assembled evidence above, not an IAQng detection formula. If it is wrong, tell us.