Weather forecastDavinópolis, Brazil · Model run 2026-10-25 12:00 UTC

Davinópolis 14-day weather

High32–40°14 days

Low24–29°vs usual +2°

Rain24 mmdays with rain: 5

5.53° S, 47.39° WElevation 129 mUTC−3 · Brasilia Standard Time

When to goDavinópolis · weather score

Best timeJun–Aug

October: high / low33° / 24°

Over the next 14 days in Davinópolis the afternoons reach 32° to 40° and the nights 24° to 29°. About 24 mm of rain is expected on 5 days; the wettest day is Thursday 29 October. The warmest day looks like Friday 6 November. On average the period is 2° warmer than usual.

The next 14 days

Daily high and low; days 1–10 the detailed forecast, then the average of the ensemble with the band showing how far its runs disagree. Dashed: the usual high and low for the date.

High
Low
Usual for the date
Spread of the model runs

25 Oct – 31 Oct34° / 25°+1° warmer than usualRain 20 mm
1 Nov – 7 Nov38° / 25°+4° warmer than usualRain 4 mm

All days in a table

Day	Weather	High	Low	Rain	Usual	vs usual
1. Sun 25 Oct	Rain	35°	29°	1 mm	33° / 24°	+4°
2. Mon 26 Oct	Rain	34°	25°	6 mm	32° / 24°	+1°
3. Tue 27 Oct	Showers	35°	24°	2 mm	32° / 24°	+1°
4. Wed 28 Oct	Showers	34°	24°	1 mm	32° / 24°	+1°
5. Thu 29 Oct	Showers	33°	24°	9 mm	32° / 24°	±0°
6. Fri 30 Oct	Showers	34°	26°	2 mm	32° / 24°	+2°
7. Sat 31 Oct	Showers	32°	25°	1 mm	32° / 24°	+1°
8. Sun 1 Nov	Partly cloudy	35°	25°	0 mm	32° / 24°	+2°
9. Mon 2 Nov	Showers	34°	26°	1 mm	32° / 24°	+2°
10. Tue 3 Nov	Showers	36°	27°	1 mm	32° / 24°	+3°
11. Wed 4 Novtrend	Partly cloudy	40° ±2	24°	0 mm	32° / 24°	+4°
12. Thu 5 Novtrend	Partly cloudy	40° ±2	24°	1 mm	32° / 24°	+4°
13. Fri 6 Novtrend	Partly cloudy	40° ±2	24°	0 mm	32° / 24°	+5°
14. Sat 7 Novtrend	Partly cloudy	39° ±2	24°	1 mm	32° / 24°	+4°

Weather in nearby places

Other forecasts

About this forecast

Days 1–10: a high-resolution global weather model (0.25° grid), adjusted to this place's own climate so that a hill village is not given the valley's warmth. New model runs arrive twice a day.

Days 11–14: the average of the 31 runs of a global ensemble model. Day-to-day weather cannot be forecast this far ahead, so read these days as a trend — warmer or colder, wetter or drier than usual — and check again closer to the date.