This will be used to predict the weather at Sydney Airport (YSSY).
An in-depth paragraph about your project and overview of use.
Pilots don't exactly know what weather to expect in the future, instead they just get past weather (within 30 mins – 1 hour or quicker if the weather is changing rapidly).
Be able to predict the weather within the next 10-30 mins to above 50% accuracy.
time,wmo,name,history_product,air_temp,apparent_t,dewpt,rel_hum,delta_t,wind_dir_deg,wind_spd_kmh,gust_kmh,rain_trace,rain_ten,rain_hour,duration_from_9am,press,lat,lon,location
| Column | Description |
|---|---|
| time | The date and time of the observation. |
| wmo | The ID of the weather station. |
| name | The human-friendly name of the weather station. |
| history_product | The ID for BOM identification. |
| air_temp | The air temperature (°C) recorded at the time of observation. |
| dewpt | The temperature (°C) at which air becomes saturated and dew forms. |
| rel_hum | The percentage of moisture in the air relative to the maximum it can hold. |
| wind_dir_deg | The direction from which the wind is blowing, in degrees. |
| wind_spd_kmh | The speed of the wind (km/h) at the time of observation. |
| gust_kmh | The maximum wind speed (km/h) recorded during a short period. |
| press | Atmospheric pressure (hPa) at the observation site. |
| rain_trace | The amount of precipitation (mm) recorded over a specific period. |
| lat | The latitude of the observation site. |
| lon | The longitude of the observation site. |
| location | The specific location of the weather station. |
- Python requirements:
numpy
matplotlib
pandas
scikit-learn
keras
tensorflow
pydot
graphviz
pydot-ng
pillow
pydotplus
ipykernel
metpy
seaborn
Flask
flask_wtf
flask-csp
jsonschema
requests
flask_cors
flask_limiter
flask-talisman
pylint
python-dotenv
- How to run the program
cd 2./Model-Deployment
python main.pyThen access at https://127.0.0.1:5000/.
Any advise for common problems or issues.
command to run if program contains helper info
This project is licensed under the GNU GPLv3 License - see the LICENSE file for details.
Inspiration, code snippets, etc.