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Over the next 14 days in Weipa, temperatures range from 22 to 38 °C with 6 rainy days (19.6 mm in total).
| Day | Weather | Min | Max | Precip. | Wind |
|---|---|---|---|---|---|
| Today | 23 °C | 37 °C | 0.0 mm | 18 km/h | |
| Tomorrow | 22 °C | 36 °C | 0.0 mm | 19 km/h | |
| Sat 7 Nov | 23 °C | 37 °C | 0.2 mm | 21 km/h | |
| Sun 8 Nov | 24 °C | 38 °C | 0.6 mm | 19 km/h | |
| Mon 9 Nov | 25 °C | 37 °C | 1.4 mm | 18 km/h | |
| Tue 10 Nov | 25 °C | 38 °C | 1.2 mm | 18 km/h | |
| Wed 11 Nov | 25 °C | 35 °C | 0.0 mm | 17 km/h | |
| Thu 12 Nov | 26 °C | 34 °C | 3.6 mm | 17 km/h | |
| Fri 13 Nov | 25 °C | 34 °C | 0.7 mm | 18 km/h | |
| Sat 14 Nov | 25 °C | 34 °C | 2.9 mm | 15 km/h | |
| Sun 15 Nov | 24 °C | 33 °C | 5.4 mm | 10 km/h | |
| Mon 16 Nov | 25 °C | 37 °C | 0.6 mm | 13 km/h | |
| Tue 17 Nov | 25 °C | 37 °C | 0.0 mm | 16 km/h | |
| Wed 18 Nov | 24 °C | 33 °C | 3.0 mm | 18 km/h |
The second part of the period looks cooler in Weipa: daytime highs average 34.6 °C after day 7, against 36.8 °C in the first week, a drop of about 2.2 °C. Rain falls on 2 days in the first week and 4 days in the following 7 days.
Extremes of the period in Weipa. Warmest day: Sunday 8 Nov, with a high of 38 °C. Coolest day: Wednesday 18 Nov, when the high stays at 33 °C. Coldest night: Friday 6 Nov, down to 22 °C. Wettest day: Sunday 15 Nov, with 5.4 mm. Strongest wind: Saturday 7 Nov, gusting up to 21 km/h at most.
Over these 14 days the forecast highs average 35.7 °C, close to the 1991-2020 normal of 35.3 °C for the month (difference 0.4 °C).
The first three to five days for Weipa are the most dependable. After about a week, a forecast gives a trend rather than an exact figure: the daily temperature can be off by several degrees and the timing of rain can shift by a day or more. Use the later days to plan broadly and check the page again as the date approaches, since it is updated several times a day.
Rain of at least 1 mm is forecast on 6 of the next 14 days, 19.6 mm in total.
Sunday 8 Nov, with a forecast high of 38 °C.
The first days are reliable. The later days show the general trend (warmer, cooler, wetter or drier) more than exact values.
weather-au.com · Open-Meteo data