Weather Status Forecasting for Saudi Arabia Cities

This tutorial is a simple application that used weather data we've collected early.

In this tutorial, we used Recurrent Neural Networks (RNNs) to build time series forecast model. This is covered in three parts:

Part1: Forecast weather temperature of one city.	Run in Google Colab	View source on GitHub
Part2: Forecast weather info (barometer, humidity, temperature, visibility, wind) for any Saudi city.	Run in Google Colab	View source on GitHub
Part3: Forecast weather temperature for multiple Saudi cities on a certain date.	Run in Google Colab	View source on GitHub

Weather Data

This tutorial uses Saudi weather dataset which is an hourly weather data from 2017 to 2019

for all kingdom main cities:

• Qassim
• Hail
• Madina
• EP
• Riyadh
• Mecca
• Tabuk
• Assir
• Northern boarder
• Jazan
• Najran
• Baha
• Jawf

This dataset contains 8 different features such as:

• Date
• Time
• Temperature
• Weather description ( clear - sunny - .... )
• Wind speed
• Humidity
• Barometer (atmospheric pressure)
• Visibility (how much be able to see or be seen)

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Prerequisites

The requirements.txt file contains all Python dependencies. You can install them by running this command:

pip3 install -r requirements.txt

Built With

• D-tale - Library to provide an easy way to view & analyze Pandas data structures.
• Tensorflow - Open source library to develop and train ML models.