
Highest temperature in Miami on Nov 3, 2026: PBE moves “83° to 84°” down to 24% from 50%
New forecast guidance reached the model between 15:00 UTC and 17:00 UTC on Nov 2. Same model version, later data cutoff: here is exactly which inputs changed.
Photo: Marc Averette · CC BY-SA 3.0 · Wikimedia Commons
83° to 84° · pbe-weather-maxtemp@1.1.0 · 15:00 UTC → 17:00 UTC
Highest temperature in Miami on Nov 3, 2026?
83° to 84° · PRE-WINDOW
Quick read
- pbe-weather-maxtemp@1.1.0 moved “83° to 84°” from 50% to 24% (−26 pts).
- Later data cutoff: Nov 2 11:00Z → Nov 2 17:00Z; same model version, so the move reflects inputs, not a model change.
- Primary inputs changed: National Blend of Models forecast high.
- A comparable market observation was not captured with both snapshots, so no market move is stated.
What changed in the inputs
Between the snapshot captured at Nov 2 15:00Z (data cutoff Nov 2 11:00Z) and the one at Nov 2 17:00Z (cutoff Nov 2 17:00Z), the same model version — pbe-weather-maxtemp@1.1.0 — moved “83° to 84°” from 50% to 24%. The model inputs that changed: National Blend of Models forecast high from 84°F to 85°F.
| Input | Before | After | Primary |
|---|---|---|---|
| Guidance lead time | 23h | 17h | — |
| National Blend of Models forecast high | 84°F | 85°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 15:00Z | PBE pbe-weather-maxtemp@1.1.0 | 50 |
| Nov 2 15:06Z | Kalshi mid | 24 |
| Nov 2 15:08Z | Kalshi mid | 21 |
| Nov 2 15:10Z | Kalshi mid | 20 |
| Nov 2 15:14Z | Kalshi mid | 19 |
| Nov 2 15:18Z | Kalshi mid | 20 |
| Nov 2 15:24Z | Kalshi mid | 21 |
| Nov 2 15:26Z | Kalshi mid | 21 |
| Nov 2 15:28Z | Kalshi mid | 21 |
| Nov 2 15:30Z | Kalshi mid | 22 |
| Nov 2 15:34Z | Kalshi mid | 22 |
| Nov 2 15:38Z | Kalshi mid | 23 |
| Nov 2 16:00Z | Kalshi mid | 23 |
| Nov 2 16:02Z | Kalshi mid | 25 |
| Nov 2 16:48Z | Kalshi mid | 29 |
| Nov 2 16:50Z | Kalshi mid | 28 |
| Nov 2 16:58Z | Kalshi mid | 20 |
| Nov 2 17:00Z | PBE pbe-weather-maxtemp@1.1.0 | 24 |
| Nov 2 17:00Z | Kalshi mid | 19 |
A comparable market observation was not captured with both snapshots, so no market move is stated.
The two snapshots
| Earlier | Later | |
|---|---|---|
| Captured | Nov 2 15:00Z | Nov 2 17:00Z |
| Data cutoff | Nov 2 11:00Z | Nov 2 17:00Z |
| Guidance runs | NWS GFS MOS 2026-11-02T06Z, NWS National Blend of Models 2026-11-02T06Z | NWS GFS MOS 2026-11-02T12Z, NWS National Blend of Models 2026-11-02T12Z |
| PBE | 50% | 24% |
| Market at capture | — | 19% |
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
- fd610e73-efa3-4545-85bd-befabd7a107b
- Compared with
- 0116b50d-798f-4049-ab8c-c4b9695a7896
- Captured
- Nov 2 17:00Z
- Data cutoff
- Nov 2 17:00Z
- Market observation
- 19% · 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 CLIMIA (weather.com/kalshi)
- Independent check
- NWS Daily Climate Report CLIMIA (WFO MFL); NOAA RCC-ACIS USW00012839
- Measurement
- Maximum temperature for the climate day 2026-11-03, 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.