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Welcome to the IndianClimate Wiki, a comprehensive guide and resource for all contributors, developers, and enthusiasts involved in the Indian Climate Change Project. This wiki serves as a central hub for documenting the project's goals, progress, methodology, and collaborative efforts. Whether you're here to learn, contribute, or track the project's development, you'll find all the key information you need.
The Indian Climate Change Project is a personal initiative aimed at gathering and analyzing data to predict climate change trends in India. By collecting a wide variety of environmental, atmospheric, and geographical data, the project will leverage predictive models to understand future climate scenarios. This will help inform policies, promote sustainability, and mitigate the effects of climate change.
- Objective: Gather data from meteorological stations, IoT devices, and satellite imagery.
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Key Areas:
- Atmospheric parameters (temperature, humidity, precipitation, etc.)
- Land surface parameters (soil moisture, land use, etc.)
- Water and oceanic parameters (water levels, sea surface temperature, etc.)
- Status: Ongoing.
- Objective: Clean and preprocess collected data for analysis.
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Key Areas:
- Data cleaning using Python scripts and Jupyter Notebooks.
- Visualization of trends and anomalies.
- Status: Preparing initial datasets.
- Objective: Develop predictive AI/ML models for future climate scenarios.
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Key Areas:
- Implement machine learning algorithms to predict temperature, rainfall, and other climate parameters.
- Validate models with historical data and adjust as necessary.
- Status: In planning.
- Objective: Provide open-access data and analytical tools for researchers, policymakers, and citizens.
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Key Areas:
- Make datasets available for download and usage.
- Develop interactive tools to explore climate data and trends.
- Status: Pending.
The project is currently in Phase 1, focusing on the collection of climate-related data from various sources. As an individual working on this project, I am currently collecting publicly available data from meteorological stations, satellite imagery, and other open sources. The data is being integrated and prepared for analysis, with initial data cleaning and visualization efforts underway.
Though this project is an individual initiative, contributions from others passionate about climate change are always welcome. There are several ways you can contribute:
- Data Collection: Help find additional data sources or share relevant climate data.
- Data Analysis: Contribute by cleaning, processing, and visualizing climate data.
- Model Development: Work on building AI/ML models for climate prediction.
- Documentation: Improve or add to the project's documentation to help others understand and use the project.
For detailed instructions on how to get started, refer to the Contributing Guide.
This project is a personal initiative, and no organizations are currently involved in its development. However, I appreciate the vast amount of publicly available data and resources from government agencies, research institutions, and other sources that are contributing to the project's progress.