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Winter inversion Corroborated

2024-01-19 Boise City, ID winter inversion episode

January 19, 2024

Daily PM2.5 peaked at 54.9 µg/m³ near Boise City across 1 covered metro home to 845,877 people.

Counting the extra PM2.5 above each metro's typical day, this event handed the average affected resident ≈ 2.2 cigarettes. Across everyone living in the affected metros, that is the collective equivalent of ≈ 1.8 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 “Winter inversion”

Qualified supplied evidence supports winter inversion as the root cause of this event. The supplied record does not establish a coherent shared occurrence with neighboring candidates, so the episode remains event-specific.

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

See every retained source and limitation ↓

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

    Winter inversion

    An Idaho DEQ regional airshed coordinator attributed Boise's event-date pollution buildup to a winter inversion and insufficient wind, while the report noted no wildfires were active.

    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

    54.9 µg/m³ near Boise City

    EPA monitors recorded the event across 1 metro. The peak daily concentration is roughly 2.5 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 “Winter inversion” explanation; it does not assign the cause by itself.

Observed context · not attribution

Boise City, ID

Monitor comparison window 2024-01-16 to 2024-01-22 · PM2.5 target: Nampa - Ridgecrest

6 pollutant signals
Fine-particle pulse 48.4 µg/m³

104% above nearby days

Air movement 2 kt

10% lower than surrounding days

PM10 55.5 µg/m³

109% higher than surrounding days

Pollution fingerprint

Metro-wide median of reporting monitors
PM2.5 48.4 µg/m³

104% higher than surrounding days

Before32.5 µg/m³ Event48.4 µg/m³ After4.50 µg/m³
2 monitors · 24 HOUR
PM10 55.5 µg/m³

109% higher than surrounding days

Before38 µg/m³ Event55.5 µg/m³ After11.5 µg/m³
2 monitors · 24-HR BLK AVG
Carbon monoxide 0.413 ppm

39% higher than surrounding days

Before0.297 ppm Event0.413 ppm After0.191 ppm
1 monitor · 1 HOUR
Nitrogen dioxide 33.1 ppb

22% higher than surrounding days

Before27.1 ppb Event33.1 ppb After14.7 ppb
1 monitor · 1 HOUR
Sulfur dioxide 0.617 ppb

61% higher than surrounding days

Before0.379 ppb Event0.617 ppb After0.404 ppb
1 monitor · 1 HOUR
Ozone 0.007 ppm

50% lower than surrounding days

Before0.013 ppm Event0.007 ppm After0.021 ppm
1 monitor · 8-HR RUN AVG BEGIN HOUR

Atmospheric conditions

Nearby EPA weather observations
Humidity 88.7 %

About the same as surrounding days

Pressure 927 Millibars

About the same as surrounding days

Temperature 33.2 °F

About the same as surrounding days

Wind 2 kt

10% lower than 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
Boise City, ID 54.9 µg/m³ 2.5 Jan 19, 2024 #25 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.

Agency and publisher pages 1

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.