Hello everyone!
I’m currently working on a weather forecasting project using data from my Ecowitt weather station. I’d like to achieve two main goals, but I’m having trouble getting accurate results and would appreciate guidance from the community.
Goal 1: Rain Probability Calculation
I’m trying to calculate the probability of rain (in %) using data collected by the weather station, such as:
- Dew point
- Temperature
- Atmospheric pressure
The problem I am facing is that I cannot find a reliable mathematical formula to calculate the probability of rainfall by combining dew point, temperature, and atmospheric pressure
Goal 2: Short-Term Weather Forecast (1 to 3 Days)
The second thing I’d like to achieve is generating a short-term weather forecast (up to 3 days) based solely on data from a single weather station. I understand that accurate forecasts typically require data from multiple locations, but I’d like to explore whether a localized forecast is possible with just one station’s data.
Context:
- I’m using Home Assistant to collect and analyze the data from my Ecowitt weather station.
- I’ve already set up the integration to pull data like temperature, dew point, and atmospheric pressure, but I’m struggling with the logic to achieve the above goals.
What I’ve Tried:
- Creating formulas using temperature, dew point, and pressure to calculate rain probability. Results are inconsistent.
- Reading documentation and forums about weather forecasting algorithms, but most examples rely on external APIs .
What I Need Help With:
- Suggestions for more accurate algorithms or methods to calculate rain probability.
- Guidance on whether short-term forecasting with one weather station is feasible, and if so, any tips or starting points.
- Any examples, resources, or relevant tools that could help me better analyze the data from the station.