Context Climate datasets such as ERA5 and CHIRPS often show biases compared to local station data, limiting their direct use at local scale.

Objectives

• Analyze biases between EO/reanalysis data and station observations
• Apply statistical and ML-based bias correction methods
• Produce corrected historical and future climate series

Main Tasks

• Collect and preprocess climate and station data
• Perform bias analysis and correction
• Validate corrected datasets

Required Skills

• Climate data analysis
• Statistics
• Python
• Time series processing