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AWS Metadata Report Preparation

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  AWS Metadata Report Preparation Monthly AWS Data Download ü  At the end of each month, we download Ambient Weather Station (AWS) data from AmbientWeather.net  (AWN) website. (email and password to access the website will be provided.) Figure 1 : ambientweather.net website ü  When you first visit the website, click on the “Log in”  option located at the top-right corner of the page. Log in using the username and password  provided to you. ü  After logging in, navigate to “My Dashboard.” Figure 2 : ambientweather.net dashboard ü  In the ‘My Stations’  section at the top center of the page, you will see a drop-down menu . ü  Click on the drop-down menu to view the working status of all stations . Figure 3 : Working status of ambient weather stations ü  Click on each station that was operational during the previous month. For example, let’s consider the Digana station. Figure 4 : Graphs and tables of AWS data ü  After selecting e...
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AWS Metadata Report Generator

  1. Introduction: The AWS Metadata Report Generator  is an automated tool designed to streamline the management of weather or environmental data. It allows users to upload CSV files containing time-series data (typically related to weather parameters like temperature, wind speed, humidity, etc.) and generates comprehensive reports on data availability. These reports ensure that users can easily track which data is complete, which is missing, and identify potential issues in their datasets. Furthermore, the tool organizes and uploads these files to a secure GitHub repository  for easy long-term access and organization. 2. How It Works: B reakdown of how the AWS Metadata Report Generator  functions: Uploading Data: The user uploads a CSV file containing data. This file should include a Date  column to indicate the time at which each data point was recorded. Report Generation: Once the file is uploaded, the tool processes it by identifying the available and missin...
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Met data Automation Report

Met data Automation Report A.     Project Overview The project automates the process of downloading climate data, extracting essential weather parameters (Tmax, Tmin, Rainfall), and generating insightful graphs to monitor trends. The project includes: Automated daily PDF downloads from the meteorology website https://meteo.gov.lk/index.php?lang=en . Extraction of Tmax, Tmin, and Rainfall data from predefined locations and hydro catchment areas. Zone-wise calculations for 8-day averages of Tmin, Tmax, and Rainfall. Graphical representation of trends for the past 30 days. Full integration with GitHub Actions for seamless automation. B.     Files and Functionalities   Core Scripts 1.      main.py : ·         Purpose : Downloads daily climate data PDFs from the meteorology website. ·         Key Features : o    Scrapes ...
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