
Highest temperature in New York City on Nov 15, 2026: PBE moves “49° to 50°” up to 24% from 10%
New forecast guidance reached the model between 17:00 UTC and 23:00 UTC on Nov 14. Same model version, later data cutoff: here is exactly which inputs changed.
Photo: Fred Hsu on en.wikipedia · CC BY-SA 4.0 · Wikimedia Commons
49° to 50° · pbe-weather-maxtemp@1.1.0 · 17:00 UTC → 23:00 UTC
Highest temperature in New York City on Nov 15, 2026?
49° to 50° · WINDOW OPEN · OBSERVING
- UPDATE · Nov 15 17:39Z PBE 12% pbe-weather-maxtemp-intraday@2.1.0 · data cutoff Nov 15 17:00Z
Quick read
- pbe-weather-maxtemp@1.1.0 moved “49° to 50°” from 10% to 24% (+14 pts).
- Later data cutoff: Nov 14 17:00Z → Nov 14 23:00Z; same model version, so the move reflects inputs, not a model change.
- Primary inputs changed: National Blend of Models forecast high.
- The Kalshi mid captured with each snapshot went from 56% to 63%.
What changed in the inputs
Between the snapshot captured at Nov 14 17:00Z (data cutoff Nov 14 17:00Z) and the one at Nov 14 23:00Z (cutoff Nov 14 23:00Z), the same model version — pbe-weather-maxtemp@1.1.0 — moved “49° to 50°” from 10% to 24%. The model inputs that changed: National Blend of Models forecast high from 53°F to 51°F.
| Input | Before | After | Primary |
|---|---|---|---|
| Guidance lead time | 17h | 11h | — |
| National Blend of Models forecast high | 53°F | 51°F | yes |
This page reports which stored inputs differ between two immutable forecasts. It does not claim why the underlying weather guidance changed.
The forecast path
Data table
| Time (UTC) | Source | Value % |
|---|---|---|
| Nov 14 15:02Z | PBE pbe-weather-maxtemp@1.1.0 | 30 |
| Nov 14 15:02Z | Kalshi mid | 48 |
| Nov 14 15:04Z | Kalshi mid | 51 |
| Nov 14 15:06Z | Kalshi mid | 53 |
| Nov 14 15:08Z | Kalshi mid | 52 |
| Nov 14 15:12Z | Kalshi mid | 52 |
| Nov 14 15:14Z | Kalshi mid | 53 |
| Nov 14 15:22Z | Kalshi mid | 53 |
| Nov 14 15:24Z | Kalshi mid | 53 |
| Nov 14 15:28Z | Kalshi mid | 53 |
| Nov 14 15:46Z | Kalshi mid | 54 |
| Nov 14 15:48Z | Kalshi mid | 55 |
| Nov 14 15:52Z | Kalshi mid | 55 |
| Nov 14 16:00Z | Kalshi mid | 55 |
| Nov 14 16:02Z | Kalshi mid | 56 |
| Nov 14 16:04Z | Kalshi mid | 56 |
| Nov 14 16:06Z | Kalshi mid | 57 |
| Nov 14 16:08Z | Kalshi mid | 59 |
| Nov 14 16:12Z | Kalshi mid | 58 |
| Nov 14 16:32Z | Kalshi mid | 57 |
| Nov 14 17:00Z | PBE pbe-weather-maxtemp@1.1.0 | 10 |
| Nov 14 17:00Z | Kalshi mid | 56 |
| Nov 14 17:06Z | Kalshi mid | 57 |
| Nov 14 17:16Z | Kalshi mid | 58 |
| Nov 14 17:18Z | Kalshi mid | 59 |
| Nov 14 17:24Z | Kalshi mid | 58 |
| Nov 14 17:26Z | Kalshi mid | 59 |
| Nov 14 17:36Z | Kalshi mid | 59 |
| Nov 14 17:50Z | Kalshi mid | 59 |
| Nov 14 17:56Z | Kalshi mid | 60 |
| Nov 14 18:00Z | Kalshi mid | 60 |
| Nov 14 19:00Z | Kalshi mid | 60 |
| Nov 14 19:56Z | Kalshi mid | 61 |
| Nov 14 20:00Z | Kalshi mid | 61 |
| Nov 14 20:06Z | Kalshi mid | 61 |
| Nov 14 20:32Z | Kalshi mid | 62 |
| Nov 14 20:34Z | Kalshi mid | 63 |
| Nov 14 20:40Z | Kalshi mid | 63 |
| Nov 14 20:52Z | Kalshi mid | 62 |
| Nov 14 21:00Z | Kalshi mid | 62 |
| Nov 14 21:02Z | Kalshi mid | 62 |
| Nov 14 21:08Z | Kalshi mid | 62 |
| Nov 14 21:10Z | Kalshi mid | 62 |
| Nov 14 21:44Z | Kalshi mid | 62 |
| Nov 14 21:46Z | Kalshi mid | 62 |
| Nov 14 21:48Z | Kalshi mid | 63 |
| Nov 14 22:00Z | Kalshi mid | 63 |
| Nov 14 22:38Z | Kalshi mid | 63 |
| Nov 14 22:40Z | Kalshi mid | 62 |
| Nov 14 22:44Z | Kalshi mid | 62 |
| Nov 14 22:50Z | Kalshi mid | 63 |
| Nov 14 23:00Z | PBE pbe-weather-maxtemp@1.1.0 | 24 |
| Nov 14 23:00Z | Kalshi mid | 63 |
The Kalshi mid captured with each snapshot went from 56% to 63%.
The two snapshots
| Earlier | Later | |
|---|---|---|
| Captured | Nov 14 17:00Z | Nov 14 23:00Z |
| Data cutoff | Nov 14 17:00Z | Nov 14 23:00Z |
| Guidance runs | NWS GFS MOS 2026-11-14T12Z, NWS National Blend of Models 2026-11-14T12Z | NWS GFS MOS 2026-11-14T18Z, NWS National Blend of Models 2026-11-14T18Z |
| PBE | 10% | 24% |
| Market at capture | 56% | 63% |
Evidence & method
What this story is based on. Every value above was read from these immutable records.
- Model
- pbe-weather-maxtemp@1.1.0 · RESEARCH
- Snapshot
- 7076fc07-df09-46da-b715-ce24cde519f4
- Compared with
- 3ed9d857-ef9f-4032-9fdb-31cac16b794d
- Captured
- Nov 14 23:00Z
- Data cutoff
- Nov 14 23:00Z
- Market observation
- 63% · captured with the snapshot
- Source families
- NOAA/NWS via Iowa Environmental Mesonet archive · NOAA Regional Climate Centers ACIS · NOAA/NWS api.weather.gov
- Resolves on
- The Weather Company (weather.com/kalshi) — The Weather Company daily maximum temperature for CLINYC (weather.com/kalshi)
- Independent check
- NWS Daily Climate Report CLINYC (WFO OKX); NOAA RCC-ACIS USW00094728
- Measurement
- Maximum temperature for the climate day 2026-11-15, 00:00-24:00 local standard time (UTC-5)
- Rounding
- Whole degrees Fahrenheit as reported; preliminary values may differ by rounding/conversion
- Exceptions
- Preliminary data may be revised; the exchange may hold expiration until a non-erroneous revision, else last fair price
- Pre-window only; no current-conditions input
- Guidance can run cold/hot in unusual regimes (see LA diagnostic, 2026-10-04)
Weather · daily high — inputs: National Blend of Models day max (GFS MOS fallback) + station empirical guidance-error tables. This model on the research board →
Market prices are a benchmark only and never enter a PropBetEdge model. Research-stage probabilities; not advice.