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masantizof/README.md

Climate Data Processing and Quality Control

This repository contains Python-based workflows for processing, validating, and analyzing climate and hydrometeorological data from meteorological stations and IoT sensor networks.

Key Features

  • Automated ETL pipelines
  • Data quality control (QA/QC)
  • Time series analysis
  • Integration with GIS systems

Technologies

  • Python, Pandas, NumPy
  • SQL / PostGIS
  • ArcGIS / QGIS
  • Jupyter Notebooks

Use Cases

  • Climate services
  • Risk management
  • Environmental monitoring

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