<b>The Urbanisation-Precipitation Paradox: Quantitative Thresholds for Urban Resilience in a Non-Stationary World</b>led Item

This dataset and code bundle supports the manuscript "The Urbanisation-Precipitation Paradox: Quantitative Thresholds for Urban Resilience in a Non-Stationary World" submitted to Earth's Future (MS# 2026EF008459). The submission includes: GBA_Research_Data.csv: 40 years (1985–2025) of hydrological and urban growth data for the Greater Bay Area, including CAPE trends, Compactness Index (CI) values, and soil moisture observations.XGBoost_Analysis.py: Python script used to identify the nonlinear flood susceptibility threshold at a Compactness Index of 1.7.MoDOBR_Model_Logic.docx: Detailed mathematical formulation and optimization parameters for the Modified Design Optimization for Bioretention model, justifying the 40–87% freeboard increase requirement.README.txt: Guide for file usage and data structure.