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Magnolia Weather

Next 48hrs in Maryborough

Sat 20
6:00pm
Clear23°CClear
Rain: 5% (0.0mm/hr) 
Humidity: 67%
Wind:  E 10km/h 
Sat 20
9:00pm
Clear19°CClear
Rain: 5% (0.0mm/hr) 
Humidity: 86%
Wind:  ENE 5km/h 
Sun 21
12:00am
Mostly clear17°CMostly clear
Rain: 5% (0.0mm/hr) 
Humidity: 94%
Wind:  NE 3km/h 
Sun 21
3:00am
Fog16°CFog
Rain: 5% (0.0mm/hr) 
Humidity: 96%
Wind:  WNW 3km/h 
Sun 21
6:00am
Mostly cloudy17°CMostly cloudy
Rain: 20% (0.0mm/hr) 
Humidity: 95%
Wind:  WSW 6km/h 
Sun 21
9:00am
Mostly clear25°CMostly clear
Rain: 24% (0.0mm/hr) 
Humidity: 66%
Wind:  NNE 11km/h 
Sun 21
12:00pm
Mostly clear28°CMostly clear
Rain: 19% (0.0mm/hr) 
Humidity: 54%
Wind:  NNE 13km/h 
Sun 21
3:00pm
Mostly clear29°CMostly clear
Rain: 18% (0.0mm/hr) 
Humidity: 52%
Wind:  NNE 16km/h 
Sun 21
6:00pm
Mostly clear24°CMostly clear
Rain: 9% (0.0mm/hr) 
Humidity: 72%
Wind:  NNE 12km/h 
Sun 21
9:00pm
Mostly clear20°CMostly clear
Rain: 5% (0.0mm/hr) 
Humidity: 89%
Wind:  NNE 7km/h 
Mon 22
12:00am
Mostly clear19°CMostly clear
Rain: 11% (0.0mm/hr) 
Humidity: 94%
Wind:  NNE 5km/h 
Mon 22
3:00am
Mostly clear18°CMostly clear
Rain: 11% (0.1mm/hr) 
Humidity: 95%
Wind:  N 5km/h 
Mon 22
6:00am
Fog18°CFog
Rain: 26% (0.0mm/hr) 
Humidity: 97%
Wind:  NNW 4km/h 
Mon 22
9:00am
Mostly clear26°CMostly clear
Rain: 22% (0.0mm/hr) 
Humidity: 64%
Wind:  N 12km/h 
Mon 22
12:00pm
Slight chance storm30°CPossible thunderstorm
Rain: 37% (0.1mm/hr) 
Humidity: 53%
Wind:  NNE 16km/h 
Mon 22
3:00pm
Slight chance storm29°CPossible thunderstorm
Rain: 43% (0.0mm/hr) 
Humidity: 54%
Wind:  NE 16km/h 
What is Opticast?

Opticast is an automated forecasting system designed to produce detailed forecasts for specific times of each day. The system works by taking forecasts from a range of computer models and comparing them with past observations to produce the most accurate possible forecast possible, tailored to a specific location where weather observations are taken.

Opticast allows you to 'drill-down' into the daily forecast, giving you a more exact idea of your local conditions at particular times of interest to you. For example, if you cycle to work you are likely to be most interested in the temperature, wind and chance of rain at 6am and 9pm. Or if you're organising an afternoon party and the daily forecast is for late thunder, you'll want to know what time the bad weather is likely to arrive.

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