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By orchestrating data from the National Weather Service (NWS) and FEMA APIs, this tool provides a unified view of climate-driven economic impacts, enabling researchers and developers to analyze disaster trends with precision.\n\n---\n\n## 💡 Key Features\n\n-   **🔄 Multi-Source Synchronization:** Seamlessly merges NOAA Billion-Dollar Disaster datasets with real-time FEMA disaster declarations.\n-   **🛠 Automated ETL Pipeline:** Handles data extraction, schema normalization, and validation without manual intervention.\n-   **📉 Intelligent Rate Limiting:** Built-in backoff algorithms and request throttling to respect NWS and FEMA API constraints.\n-   **🧪 Data Integrity:** Uses Pydantic for strict schema enforcement, ensuring that inconsistent API responses don't break downstream analytics.\n-   **📂 Flexible Export:** Supports high-performance output formats including Parquet (for Big Data), CSV, and JSON.\n\n---\n\n## 🛠 Tech Stack\n\n| Category | Tools |\n| :--- | :--- |\n| **Language** | ![Python](https://img.shields.io/badge/python-3670A0?style=for-the-badge\u0026logo=python\u0026logoColor=ffdd54) |\n| **Data Handling** | ![Pandas](https://img.shields.io/badge/pandas-%23150458.svg?style=for-the-badge\u0026logo=pandas\u0026logoColor=white) ![Pydantic](https://img.shields.io/badge/Pydantic-E92064?style=for-the-badge\u0026logo=pydantic\u0026logoColor=white) |\n| **APIs** | `noaa-api`, `fema-data-api`, `requests` |\n| **DevOps** | ![GitHub Actions](https://img.shields.io/badge/github%20actions-%232671E5.svg?style=for-the-badge\u0026logo=githubactions\u0026logoColor=white) ![Docker](https://img.shields.io/badge/docker-%230db7ed.svg?style=for-the-badge\u0026logo=docker\u0026logoColor=white) |\n| **Domain** | Climate Change, Disaster Management, Data Engineering |\n\n---\n\n## 🏁 Quick Start\n\n### Prerequisites\n\n-   Python 3.9+\n-   API keys for NOAA/FEMA (if required for higher rate limits)\n\n### Installation\n\n1.  **Clone the repository:**\n    ```bash\n    git clone https://github.com/yourusername/disaster-data-replicator.git\n    cd disaster-data-replicator\n    ```\n\n2.  **Set up a virtual environment:**\n    ```bash\n    python -m venv venv\n    source venv/bin/activate  # On Windows: venv\\Scripts\\activate\n    ```\n\n3.  **Install dependencies:**\n    ```bash\n    pip install -r requirements.txt\n    ```\n\n### Usage\n\n**Run the full replication pipeline:**\n```bash\npython main.py --start-year 2000 --output-format parquet\n```\n\n**Sync specific agency data:**\n```bash\n# Sync only FEMA disaster declarations\npython scripts/sync_fema.py --region \"FL\"\n```\n\n---\n\n## 📊 Project Architecture\n\n```mermaid\ngraph LR\n    A[NOAA NWS API] --\u003e E[Ingestion Engine]\n    B[FEMA API] --\u003e E\n    E --\u003e F{Normalization}\n    F --\u003e G[Validation/Pydantic]\n    G --\u003e H[(Local Storage / S3)]\n    H --\u003e I[Analytics \u0026 Visualization]\n```\n\n---\n\n## 🤝 How to Contribute\n\nContributions make the open-source community an amazing place to learn, inspire, and create.\n\n1.  **Fork** the Project\n2.  Create your **Feature Branch** (`git checkout -b feature/AmazingFeature`)\n3.  **Commit** your Changes (`git commit -m 'Add some AmazingFeature'`)\n4.  **Push** to the Branch (`git push origin feature/AmazingFeature`)\n5.  Open a **Pull Request**\n\n---\n\n## 📄 License\n\nDistributed under the MIT License. See `LICENSE` for more information.\n\n---\n\n## 📧 Contact\n\n**Your Name** - [@YourTwitter](https://twitter.com/YourHandle) - your.email@example.com\n\n*Project Link: [https://github.com/yourusername/disaster-data-replicator](https://github.com/yourusername/disaster-data-replicator)*\n\n---\n*This project was developed to provide transparent access to climate-related economic data, supporting the global effort to understand and mitigate the impacts of climate change.*","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frmkenv%2Fclimate-disaster-data-pipeline","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frmkenv%2Fclimate-disaster-data-pipeline","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frmkenv%2Fclimate-disaster-data-pipeline/lists"}