Create architecture.md

docs/architecture.md

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+# System Architecture Overview
+
+## Introduction
+The architecture of the Global Climate Control System (GCCS-Core) is designed to facilitate real-time climate monitoring, predictive analytics, and geoengineering interventions. This document provides an overview of the system's components and their interactions.
+
+## Architecture Components
+
+### 1. Data Ingestion Layer
+- **IoT Sensors**: Collect real-time climate data (temperature, humidity, CO2 levels, etc.).
+- **Data Pipeline**: Processes incoming data streams and stores them in a centralized database.
+
+### 2. Core Processing Layer
+- **Climate Monitoring Module**: Analyzes real-time data to identify trends and anomalies.
+- **Predictive Modeling Module**: Utilizes machine learning algorithms to forecast climate patterns and extreme weather events.
+- **Geoengineering Module**: Implements strategies for climate intervention based on analysis results.
+
+### 3. API Layer
+- **RESTful API**: Provides endpoints for accessing climate data and intervention strategies. Enables integration with external applications and services.
+
+### 4. User Interface
+- **Web Dashboard**: A user-friendly interface for stakeholders to visualize climate data, monitor interventions, and generate reports.
+
+## Data Flow
+1. **Data Collection**: IoT sensors collect data and send it to the Data Ingestion Layer.
+2. **Data Processing**: The Core Processing Layer analyzes the data and generates insights.
+3. **API Access**: Stakeholders access the processed data and insights through the API.
+4. **User  Interaction**: Users interact with the system via the Web Dashboard to make informed decisions.
+
+## Conclusion
+The GCCS-Core architecture is modular and scalable, allowing for easy integration of new features and technologies as they become available.