🚀 Quick Start
Get started with global temperature data in just a few lines of Python code:
pip install global-temperature
Requires Python ≥ 3.10. Perfect for researchers, data scientists, and climate enthusiasts.
🎯 Key Features
- High Resolution: 0.1° × 0.1° grid precision
- Historical Data: From 1970 to present
- Monthly Updates: Current year data updated monthly
- Easy Integration: Simple Python API
- Global Coverage: Land areas worldwide
🗺️ Coverage Area
The library covers global land areas as shown below:
Yellow areas indicate data coverage regions
💡 Use Cases
- Climate research and analysis
- Agricultural planning and optimization
- Environmental monitoring
- Weather pattern studies
- Educational projects and demonstrations
- Business intelligence for weather-dependent industries