WEATHERMAPS.AI · THE AI MODEL DESK OF THE FORECAST NETWORK FORECAST EAGLE FORECAST EURO WEATHER.CITY WEATHER.FOOTBALL
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Cities · India · 26.46°, 80.32°

Kanpur: the models broadly agree this week

Every model's forecast from the 16 Sep 12Z run: ECMWF's learned model (AIFS), its physics model (HRES), Google DeepMind's WeatherNext 2 and the ECMWF ensemble mean, then four more learned models as NOAA runs them, each against the ensemble's 10–90% range.

Disagreement Index · day 5
28/ 100 · minor
0255075100

Driven by pressure. 50 means the models disagree as much as the ensemble expects.

Disagreement by day

How it's measured
22 1
20 2
33 3
33 4
28 5
31 6
32 7
34 8
30 9
36 10
38 11
51 12
28 13
33 14
29 15

Day number after the run. Hover a chip for the date and the variable behind it.

2 m temperature, every model

Hover or tap the chart to read each model at that hour. The grey band is the range the ensemble puts 80% of its members in.

AIFSHRESWN2ENS mean ENS 10–90%
22°24°26°28°30°32°34°36°Wed 16Fri 18Sun 20Tue 22Thu 24Sat 26Mon 28Wed 30AIFSHRESENS meanWN2

Four more learned models, run by NOAA

GraphCast, Aurora, FourCastNet v2 and Pangu, run by NOAA from the same ECMWF analysis, to ten days. They count towards the Disagreement Index. Same ensemble band behind them.

GraphCastAuroraFourCastNet v2Pangu ENS 10–90%
22°24°26°28°30°32°34°Wed 16Fri 18Sun 20Tue 22Thu 24PanguAuroraFourCastNet v2GraphCast

Does the starting point matter?

NOAA also runs each of these models from its own GFS analysis. Same model, different picture of today's atmosphere: the daily high from each start, and the difference (IFS start minus GFS start), °C.

Model Day 1Day 3Day 5Day 7Day 10
GraphCast 33° / — 29° / — 32° / — 33° / — 25° / —
Aurora 32° / — 30° / — 32° / — 31° / — 29° / —
FourCastNet v2 33° / — 31° / — 32° / — 33° / — 27° / —
Pangu 34° / — 32° / — 33° / — 31° / — 28° / —

Each cell: high from the IFS start / from the GFS start. A dash means NOAA has not published that run yet; the GFS-started runs usually land first.

Day by day

Each model's high and low for the 24 hours ending at the time shown, °C. Δ is how much that model's high moved since its previous run, twelve hours earlier.

Day DI AIFSHRESWN2ENS mean ENS range Spread of highs
Day 1to Thu 17 12Z 22temperature 33° 27°Δ 0 33° 26°Δ +1 32° 26°Δ 0 32° 26°Δ 0 31–33°
Day 2to Fri 18 12Z 20pressure 32° 26°Δ 0 31° 25°Δ 0 31° 25°Δ 0 31° 25°Δ 0 30–32°
Day 3to Sat 19 12Z 33temperature 31° 27°Δ -1 32° 26°Δ +2 29° 25°Δ -1 30° 25°Δ -1 29–32°
Day 4to Sun 20 12Z 33temperature 32° 27°Δ -1 33° 26°Δ +1 31° 25°Δ 0 31° 25°Δ 0 30–32°
Day 5to Mon 21 12Z 28pressure 33° 27°Δ 0 32° 26°Δ +1 32° 25°Δ 0 32° 25°Δ 0 31–33°
Day 6to Tue 22 12Z 31pressure 34° 28°Δ 0 32° 26°Δ 0 32° 26°Δ 0 32° 25°Δ 0 31–33°
Day 7to Wed 23 12Z 32temperature 32° 28°Δ -1 32° 26°Δ 0 32° 26°Δ 0 31° 25°Δ 0 30–33°
Day 8to Thu 24 12Z 34temperature 29° 26°Δ -2 32° 25°Δ +2 30° 25°Δ 0 30° 25°Δ 0 27–32°
Day 9to Fri 25 12Z 30temperature 26° 25°Δ -3 31° 24°Δ +1 28° 24°Δ -1 29° 24°Δ -1 25–32°
Day 10to Sat 26 12Z 36temperature 26° 24°Δ -2 29° 24°Δ -2 27° 23°Δ -1 29° 24°Δ -1 26–32°

Open this place on the map

Values are what Forecast Euro's ingest sampled from each model's grid at this city, rounded to whole degrees at source. This page compares models; it is not a forecast to plan by.