
Where will it rain on Oct 16, 2026: PBE moves “Dallas” up to 42% from 28%
New forecast guidance reached the model between 11:01 UTC and 17:00 UTC on Oct 15. Same model version, later data cutoff: here is exactly which inputs changed.
Photo: Gattacal · CC BY-SA 4.0 · Wikimedia Commons
Dallas · pbe-weather-precip@1.1.0 · 11:01 UTC → 17:00 UTC
Where will it rain on Oct 16, 2026?
Dallas · PRE-WINDOW
Quick read
- pbe-weather-precip@1.1.0 moved “Dallas” from 28% to 42% (+14 pts).
- Later data cutoff: Oct 15 11:00Z → Oct 15 17:00Z; same model version, so the move reflects inputs, not a model change.
- Primary inputs changed: GFS MOS max 6-h chance of rain, National Blend max 6-h chance of rain, GFS MOS chance of rain in the window, National Blend chance of rain in the window.
- The Kalshi mid captured with each snapshot went from 42% to 56%.
What changed in the inputs
Between the snapshot captured at Oct 15 11:01Z (data cutoff Oct 15 11:00Z) and the one at Oct 15 17:00Z (cutoff Oct 15 17:00Z), the same model version — pbe-weather-precip@1.1.0 — moved “Dallas” from 28% to 42%. The model inputs that changed: GFS MOS max 6-h chance of rain from 13% to 31%; National Blend max 6-h chance of rain from 38% to 40%; GFS MOS chance of rain in the window from 24% to 36%; National Blend chance of rain in the window from 40% to 42%.
| Input | Before | After | Primary |
|---|---|---|---|
| GFS MOS max 6-h chance of rain | 13% | 31% | yes |
| National Blend max 6-h chance of rain | 38% | 40% | yes |
| GFS MOS chance of rain in the window | 24% | 36% | yes |
| National Blend chance of rain in the window | 40% | 42% | yes |
| Guidance lead time | 24h | 18h | — |
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 % |
|---|---|---|
| Oct 15 09:12Z | PBE pbe-weather-precip@1.1.0 | 24 |
| Oct 15 09:14Z | Kalshi mid | 42 |
| Oct 15 09:16Z | Kalshi mid | 44 |
| Oct 15 09:18Z | Kalshi mid | 45 |
| Oct 15 09:20Z | Kalshi mid | 48 |
| Oct 15 09:24Z | Kalshi mid | 50 |
| Oct 15 09:26Z | Kalshi mid | 51 |
| Oct 15 09:28Z | Kalshi mid | 48 |
| Oct 15 09:30Z | Kalshi mid | 51 |
| Oct 15 09:32Z | Kalshi mid | 49 |
| Oct 15 09:34Z | Kalshi mid | 50 |
| Oct 15 09:43Z | Kalshi mid | 48 |
| Oct 15 09:49Z | Kalshi mid | 46 |
| Oct 15 09:58Z | Kalshi mid | 41 |
| Oct 15 10:00Z | Kalshi mid | 44 |
| Oct 15 10:10Z | Kalshi mid | 41 |
| Oct 15 10:12Z | Kalshi mid | 43 |
| Oct 15 10:14Z | Kalshi mid | 46 |
| Oct 15 10:16Z | Kalshi mid | 42 |
| Oct 15 10:32Z | Kalshi mid | 41 |
| Oct 15 10:36Z | Kalshi mid | 43 |
| Oct 15 10:38Z | Kalshi mid | 43 |
| Oct 15 10:40Z | Kalshi mid | 43 |
| Oct 15 10:42Z | Kalshi mid | 44 |
| Oct 15 10:44Z | Kalshi mid | 42 |
| Oct 15 11:01Z | PBE pbe-weather-precip@1.1.0 | 28 |
| Oct 15 11:01Z | Kalshi mid | 42 |
| Oct 15 11:02Z | Kalshi mid | 42 |
| Oct 15 11:10Z | Kalshi mid | 41 |
| Oct 15 11:24Z | Kalshi mid | 43 |
| Oct 15 11:28Z | Kalshi mid | 43 |
| Oct 15 11:38Z | Kalshi mid | 43 |
| Oct 15 11:40Z | Kalshi mid | 44 |
| Oct 15 11:42Z | Kalshi mid | 43 |
| Oct 15 12:02Z | Kalshi mid | 43 |
| Oct 15 13:06Z | Kalshi mid | 43 |
| Oct 15 13:24Z | Kalshi mid | 43 |
| Oct 15 13:50Z | Kalshi mid | 44 |
| Oct 15 13:52Z | Kalshi mid | 44 |
| Oct 15 14:00Z | Kalshi mid | 44 |
| Oct 15 14:12Z | Kalshi mid | 46 |
| Oct 15 14:16Z | Kalshi mid | 46 |
| Oct 15 14:42Z | Kalshi mid | 46 |
| Oct 15 14:48Z | Kalshi mid | 48 |
| Oct 15 14:58Z | Kalshi mid | 49 |
| Oct 15 15:00Z | Kalshi mid | 49 |
| Oct 15 15:32Z | Kalshi mid | 49 |
| Oct 15 15:46Z | Kalshi mid | 49 |
| Oct 15 15:58Z | Kalshi mid | 50 |
| Oct 15 16:00Z | Kalshi mid | 50 |
| Oct 15 16:02Z | Kalshi mid | 51 |
| Oct 15 16:04Z | Kalshi mid | 52 |
| Oct 15 16:16Z | Kalshi mid | 53 |
| Oct 15 16:24Z | Kalshi mid | 53 |
| Oct 15 16:36Z | Kalshi mid | 56 |
| Oct 15 16:54Z | Kalshi mid | 56 |
| Oct 15 17:00Z | PBE pbe-weather-precip@1.1.0 | 42 |
| Oct 15 17:00Z | Kalshi mid | 56 |
The Kalshi mid captured with each snapshot went from 42% to 56%.
The two snapshots
| Earlier | Later | |
|---|---|---|
| Captured | Oct 15 11:01Z | Oct 15 17:00Z |
| Data cutoff | Oct 15 11:00Z | Oct 15 17:00Z |
| Guidance runs | NWS GFS MOS 2026-10-15T06Z, NWS National Blend of Models 2026-10-15T06Z | NWS GFS MOS 2026-10-15T12Z, NWS National Blend of Models 2026-10-15T12Z |
| PBE | 28% | 42% |
| Market at capture | 42% | 56% |
Evidence & method
What this story is based on. Every value above was read from these immutable records.
- Model
- pbe-weather-precip@1.1.0 · RESEARCH
- Snapshot
- 097df72b-f76a-4f84-a505-478de3657d47
- Compared with
- 8de6f220-56d8-41b1-81d7-49c486956203
- Captured
- Oct 15 17:00Z
- Data cutoff
- Oct 15 17:00Z
- Market observation
- 56% · 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 precipitation for CLIDFW (weather.com/kalshi)
- Independent check
- NWS Daily Climate Report CLIDFW (WFO FWD); NOAA RCC-ACIS USW00003927
- Measurement
- Total liquid-equivalent precipitation for the climate day 2026-10-16, 00:00-24:00 local standard time (UTC-6)
- Rounding
- Hundredths of an inch; trace (T) counts as 0.00
- Exceptions
- Missing daily precipitation value counts as 0 inches (resolves NO) · Preliminary data may be revised; the exchange may hold expiration until a non-erroneous revision, else last fair price · Venue event strike_date (2026-10-17T03:59:59Z) is not the climate-day boundary; the reported daily value governs
- Forecasts are published only before the climate day opens (no intraday observations in v1)
- IEM NBM archive gaps -> GFS-only fallback tier
- Settles on The Weather Company values; verified against NWS CLI 112/112
Weather · measurable rain — inputs: NWS GFS MOS + National Blend of Models 6-h PoP for the exact climate day, 1991-2020 station climatology (ACIS). This model on the research board →
Market prices are a benchmark only and never enter a PropBetEdge model. Research-stage probabilities; not advice.