Low clouds disrupt U.S. air travel, with delays and cancellations reported
Published November 2, 2026 · Updated November 2, 2026 · 3 sources
FlightAware counted 1,886 delayed and 52 canceled U.S. flights as low clouds threatened several major airports, according to a news report.
What happened
Flight disruptions intensified across the U.S., with nearly 1,900 flights delayed and more than 50 canceled as low clouds threatened operations at several major airports [3]. FlightAware listed 1,886 delays and 52 cancellations tied to U.S. operations as of 6:45 p.m. EDT [3].
KOKH reported that FlightAware listed 1,886 delays involving flights within, into or out of the nation as of 6:45 p.m. EDT, along with 52 cancellations tied to U.S. operations [3]. The report describes the disruptions as having intensified [3].
The Federal Aviation Administration said low clouds could delay flights at Denver International Airport, San Diego International Airport and Seattle-Tacoma International Airport [3]. The agency did not attribute every delay or cancellation recorded by FlightAware to weather [3].
The report says the figures were a substantial increase from earlier in the day, when FlightAware reported about 800 U.S.-related delays and 32 cancellations [3].
A headline from NJ.com refers to over 1,227 flights delayed and 70 canceled amid widespread U.S. travel disruptions [1]. The counts differ from those in the KOKH report [1][3]. A separate headline mentions low clouds possibly delaying flights at several airports [2].
Related companies and sectors
Sector relationship, not a demonstrated effect: ATLAS has no evidence that this story moves these companies' share prices. They appear for their activity in the sector and are shown with ATLAS data.
Major U.S. airline whose flights are exposed to airport delays and cancellations caused by weather disruption. · Industrials
Latest available close
$83.43Close of November 2
Fair value (ATLAS)
$68.26Fair range: $55.86 to $103.62The price ($83.43) is 22.2% above that figure.
Chance of a rise in 1 month
50%Probability of closing higher than today within 21 sessions.Normal range: half of the scenarios end between $78.62 and $88.67; 9 in 10, between $70.68 and $98.63.
Major U.S. airline whose flights are exposed to airport delays and cancellations caused by weather disruption. · Industrials
Latest available close
$109.23Close of November 2
Fair value (ATLAS)
$154.75Fair range: $94.92 to $208.53The price ($109.23) is 29.4% below that figure.
Chance of a rise in 1 month
49%Probability of closing higher than today within 21 sessions.Normal range: half of the scenarios end between $101.33 and $117.34; 9 in 10, between $88.97 and $133.64.
U.S. low-cost carrier whose flights are exposed to airport delays and cancellations caused by weather disruption. · Industrials
Latest available close
$43.75Close of November 2
Fair value (ATLAS)
$29.79Fair range: $17.61 to $49.89The price ($43.75) is 46.9% above that figure.
Chance of a rise in 1 month
50%Probability of closing higher than today within 21 sessions.Normal range: half of the scenarios end between $41.19 and $46.52; 9 in 10, between $36.98 and $51.82.
ATLAS model estimates put Delta's fair value at $68.26, with the November 2 close 22.23% above it. For United the estimate is $154.75, with the close 29.42% below it. For Southwest the estimate is $29.79, with the close 46.85% above it. These are model estimates, not promises.
This is a sector relationship, not a demonstrated effect: there is no evidence that this story moves these companies' share prices. Market data are from closes and may change.
What you get with ATLAS
Fair value of each company, with its range, against today's price.
Chance of a rise in 1 month and the normal price range, from a calibrated model.
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Closing prices, fair value, probabilities, earnings and dividends: ATLAS own data as of November 2, 2026. How we calculate fair value.
Information, not advice. This content is informational and is not an investment recommendation or an offer to buy or sell securities. ATLAS estimates come from statistical models using public data, can be wrong, and past performance does not guarantee future results. Disclaimer
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