Step 1: Collect Data
Data Collection
To predict the weather accurately, we gather meteorological data from various trusted sources. These data points include surface observations, upper-air measurements, and large-scale numerical models. Below are the key elements of our data collection process:
Local Weather Stations (METAR, SYNOP)
Surface weather observations provide real-time temperature, humidity, wind speed, wind direction, and atmospheric pressure updates. In Australia, the Bureau of Meteorology (BOM) maintains an extensive network of METAR (Meteorological Aerodrome Reports) and SYNOP (Surface Synoptic Observations) stations.
Key Data Sources:
Bureau of Meteorology METAR Reports: http://www.bom.gov.au/aviation/metar/
Bureau of Meteorology SYNOP Reports: http://www.bom.gov.au/catalogue/observations/about-weather-observations.shtml
Dayboro Weather Station: Provides hyper-local data from private or community stations.
- Australian Weather Network.
Numerical Weather Models (GFS, NAM, NGM, READY Data)
Numerical weather prediction (NWP) models use mathematical equations to simulate the atmosphere’s behaviour based on observed conditions. These models incorporate data from satellites, weather balloons, and ground-based stations.
Commonly Used Weather Models:
Global Forecast System (GFS): A widely used global model providing up to 16-day forecasts. https://www.ncdc.noaa.gov/data-access/model-data/model-datasets/global-forcast-system-gfs
North American Mesoscale Model (NAM): A regional model that provides high-resolution forecasts. https://nomads.ncep.noaa.gov/
Nested Grid Model (NGM): Used for medium-range forecasting. https://www.weather.gov/mdl/ens_ensemble
READY Atmospheric Data: Provides various weather models for customized forecasting. https://www.ready.noaa.gov/READYmet.php
Local Weather Stations (METAR, SYNOP)
Surface weather observations provide real-time temperature, humidity, wind speed, wind direction, and atmospheric pressure updates. In Australia, the Bureau of Meteorology (BOM) maintains an extensive network of METAR (Meteorological Aerodrome Reports) and SYNOP (Surface Synoptic Observations) stations.
Key Data Sources:
Bureau of Meteorology METAR Reports: http://www.bom.gov.au/aviation/metar/
Bureau of Meteorology SYNOP Reports: http://www.bom.gov.au/catalogue/observations/about-weather-observations.shtml
Dayboro Weather Station: Provides hyper-local data from private or community stations.
- Australian Weather Network.
Historical Weather Data
Past weather data helps refine forecast accuracy by identifying patterns and trends. Long-term records allow meteorologists to compare current conditions with historical norms, improving predictions for seasonal changes and extreme weather events.
Key Data Sources:
Bureau of Meteorology Climate Data: http://www.bom.gov.au/climate/data/
National Oceanic and Atmospheric Administration (NOAA) Climate Database: https://www.ncdc.noaa.gov/
Dayboro-Specific Historical Trends: Any locally available datasets or weather station archives.
Accurate weather forecasting in Dayboro relies on real-time data, historical trends, and sophisticated modelling techniques.
By integrating multiple data sources and continuously refining predictions, we provide reliable, location-specific weather insights that help residents plan.
Whether you’re a farmer needing rainfall forecasts, an event planner checking for clear skies, or someone wanting to know if you’ll need an umbrella, this forecasting process ensures you stay informed with the most accurate information.
For the latest forecasts, visit https://dayboro.au
