Integrating multi-scale precipitation variability into ensemble modeling using maximum overlap discrete wavelet transform for improved drought projections under emission scenarios

Key Points

• Drought projections improve by integrating multi-scale precipitation variability, enhancing prediction accuracy.
• Incorporating maximum overlap discrete wavelet transform sharpens resolution across various emission scenarios.
• Numerical simulations highlight that changes in precipitation patterns significantly affect drought assessments.
• The findings suggest that improved models can lead to better planning and responses to drought conditions.