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meteorological-data

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This project forecasts weather using the ARIMA model. Data preprocessing, parameter selection, and model evaluation using multiple metrics are studied. External variables also affect ARIMA model accuracy. The findings aid weather forecasting and disaster preparation.

  • Updated Apr 12, 2023
  • Jupyter Notebook

As part of the thesis, a system was created that gives remote users at http://www.nerezisca-meteo.com/ an insight into current meteorological data as well as historical data display. The parameters to be measured are temperature, humidity, air pressure, solar radiation, wind speed and direction, carbon dioxide, carbon monoxide and air quality. T…

  • Updated Mar 23, 2021
  • C++

This project employs R programming to compute the Standardized Precipitation Evapotranspiration Index (SPEI), a widely used drought index. SPEI calculations were conducted for Bahawalnagar District, Punjab, Pakistan.

  • Updated Mar 2, 2024
  • R

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