IMD Climate & Weather History
Historical Weather Data Extraction for Indian AgriTech Modeling
Overview
The India Meteorological Department (IMD) maintains comprehensive weather data dating back several decades, covering rainfall, temperature, humidity, and extreme weather events across all Indian districts. Our scraping service extracts this historical climate data, enabling AgriTech companies and insurers to build predictive models for crop yields and risk assessment.
Business Use Case
Insurance companies and AgriTech startups scrape IMD data to predict crop yields and calculate insurance premiums. By analyzing historical rainfall patterns, temperature trends, and extreme weather events, businesses can assess agricultural risk and develop data-driven insurance products.
Data Points We Extract
Rainfall Data
Daily, monthly, and seasonal rainfall by district
Temperature
Maximum, minimum, and average temperatures
Humidity
Relative humidity and dew point measurements
Wind Data
Wind speed, direction, and gust measurements
Extreme Events
Cyclones, storms, and severe weather records
Historical Trends
Decadal climate patterns and anomalies
Station Data
Weather station locations and metadata
Agromet Advisory
Crop-specific weather advisories and forecasts
Target Keywords
Technical Capabilities
- Extract data from IMD's complex data portals
- Process historical datasets spanning decades
- District-level aggregation and normalization
- Real-time weather monitoring integration
- API endpoints for predictive modeling