
Highest temperature in Austin on Nov 3, 2026: PBE moves “79° to 80°” down to 12% from 32%
New forecast guidance reached the model between 17:00 UTC and 23:00 UTC on Nov 2. Same model version, later data cutoff: here is exactly which inputs changed.
Photo: Quintin Soloviev · CC BY 4.0 · Wikimedia Commons
79° to 80° · pbe-weather-maxtemp@1.1.0 · 17:00 UTC → 23:00 UTC
Highest temperature in Austin on Nov 3, 2026?
79° to 80° · PRE-WINDOW
Quick read
- pbe-weather-maxtemp@1.1.0 moved “79° to 80°” from 32% to 12% (−20 pts).
- Later data cutoff: Nov 2 17:00Z → Nov 2 23:00Z; same model version, so the move reflects inputs, not a model change.
- Primary inputs changed: GFS MOS forecast high, National Blend of Models forecast high.
- The Kalshi mid captured with each snapshot went from 45% to 47%.
What changed in the inputs
Between the snapshot captured at Nov 2 17:00Z (data cutoff Nov 2 17:00Z) and the one at Nov 2 23:00Z (cutoff Nov 2 23:00Z), the same model version — pbe-weather-maxtemp@1.1.0 — moved “79° to 80°” from 32% to 12%. The model inputs that changed: GFS MOS forecast high from 83°F to 81°F; National Blend of Models forecast high from 78°F to 76°F.
| Input | Before | After | Primary |
|---|---|---|---|
| Guidance lead time | 18h | 12h | — |
| GFS MOS forecast high | 83°F | 81°F | yes |
| National Blend of Models forecast high | 78°F | 76°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 2 15:02Z | PBE pbe-weather-maxtemp@1.1.0 | 22 |
| Nov 2 15:10Z | Kalshi mid | 38 |
| Nov 2 15:16Z | Kalshi mid | 38 |
| Nov 2 15:20Z | Kalshi mid | 38 |
| Nov 2 15:22Z | Kalshi mid | 39 |
| Nov 2 15:24Z | Kalshi mid | 41 |
| Nov 2 15:28Z | Kalshi mid | 43 |
| Nov 2 15:46Z | Kalshi mid | 44 |
| Nov 2 15:48Z | Kalshi mid | 45 |
| Nov 2 15:50Z | Kalshi mid | 47 |
| Nov 2 16:00Z | Kalshi mid | 47 |
| Nov 2 16:06Z | Kalshi mid | 47 |
| Nov 2 16:26Z | Kalshi mid | 48 |
| Nov 2 16:36Z | Kalshi mid | 44 |
| Nov 2 16:38Z | Kalshi mid | 44 |
| Nov 2 16:40Z | Kalshi mid | 45 |
| Nov 2 17:00Z | PBE pbe-weather-maxtemp@1.1.0 | 32 |
| Nov 2 17:00Z | Kalshi mid | 45 |
| Nov 2 17:02Z | Kalshi mid | 44 |
| Nov 2 17:16Z | Kalshi mid | 44 |
| Nov 2 17:28Z | Kalshi mid | 47 |
| Nov 2 17:32Z | Kalshi mid | 48 |
| Nov 2 17:34Z | Kalshi mid | 48 |
| Nov 2 17:36Z | Kalshi mid | 47 |
| Nov 2 17:42Z | Kalshi mid | 46 |
| Nov 2 17:50Z | Kalshi mid | 46 |
| Nov 2 17:52Z | Kalshi mid | 45 |
| Nov 2 18:00Z | Kalshi mid | 46 |
| Nov 2 18:02Z | Kalshi mid | 46 |
| Nov 2 18:10Z | Kalshi mid | 47 |
| Nov 2 18:36Z | Kalshi mid | 48 |
| Nov 2 18:56Z | Kalshi mid | 49 |
| Nov 2 19:00Z | Kalshi mid | 49 |
| Nov 2 19:02Z | Kalshi mid | 49 |
| Nov 2 19:26Z | Kalshi mid | 48 |
| Nov 2 19:56Z | Kalshi mid | 46 |
| Nov 2 20:00Z | Kalshi mid | 46 |
| Nov 2 20:14Z | Kalshi mid | 46 |
| Nov 2 20:20Z | Kalshi mid | 46 |
| Nov 2 20:56Z | Kalshi mid | 45 |
| Nov 2 21:00Z | Kalshi mid | 45 |
| Nov 2 21:02Z | Kalshi mid | 45 |
| Nov 2 21:34Z | Kalshi mid | 46 |
| Nov 2 21:48Z | Kalshi mid | 45 |
| Nov 2 22:00Z | Kalshi mid | 45 |
| Nov 2 22:18Z | Kalshi mid | 45 |
| Nov 2 22:28Z | Kalshi mid | 46 |
| Nov 2 22:36Z | Kalshi mid | 45 |
| Nov 2 22:44Z | Kalshi mid | 45 |
| Nov 2 22:46Z | Kalshi mid | 47 |
| Nov 2 22:48Z | Kalshi mid | 48 |
| Nov 2 22:52Z | Kalshi mid | 46 |
| Nov 2 22:56Z | Kalshi mid | 47 |
| Nov 2 23:00Z | PBE pbe-weather-maxtemp@1.1.0 | 12 |
| Nov 2 23:00Z | Kalshi mid | 47 |
The Kalshi mid captured with each snapshot went from 45% to 47%.
The two snapshots
| Earlier | Later | |
|---|---|---|
| Captured | Nov 2 17:00Z | Nov 2 23:00Z |
| Data cutoff | Nov 2 17:00Z | Nov 2 23:00Z |
| Guidance runs | NWS GFS MOS 2026-11-02T12Z, NWS National Blend of Models 2026-11-02T12Z | NWS GFS MOS 2026-11-02T18Z, NWS National Blend of Models 2026-11-02T18Z |
| PBE | 32% | 12% |
| Market at capture | 45% | 47% |
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
- 4d5b3bc0-ae62-4a1f-bb69-c9a81b122967
- Compared with
- 8f2512eb-89df-458a-9fa8-be66659a3a7a
- Captured
- Nov 2 23:00Z
- Data cutoff
- Nov 2 23:00Z
- Market observation
- 47% · 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 CLIAUS (weather.com/kalshi)
- Independent check
- NWS Daily Climate Report CLIAUS (WFO EWX); NOAA RCC-ACIS USW00013904
- Measurement
- Maximum temperature for the climate day 2026-11-03, 00:00-24:00 local standard time (UTC-6)
- 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.