Data and scripts for: Disentangling the Dual Pathways of Intra-seasonal Soil Moisture-Temperature Coupling

Abstract: This repository contains all processed datasets, geographical shapefiles, and analytical scripts required to reproduce the findings of the study "Disentangling the Dual Pathways of Intra-seasonal Soil Moisture-Temperature Coupling: From Climatological Feedbacks to Nonlinear Amplification" 。The study identifies distinct frequency-dependent interaction regimes between soil moisture and temperature over the Low-Latitude Highlands-Indo-China Peninsula (LLH-ICP) 。We provide evidence for a land-driven slow feedback pathway (periods > 40 days) and an atmosphere-driven fast response pathway (15–20 days) 。The repository specifically supports the validation of the "hypersensitive regime" and the "amplifier effect" during extreme events, such as the 2019 heatwave 。 Repository Structure: The files are organized into a hierarchical structure to facilitate navigation across different diagnostic stages: data/climatology/: Standardized daily anomalies (1979–2019), including pre-computed Empirical Orthogonal Function (EOF) results and filtered frequency components used for climatological diagnostics 。 data/2019/: Variables and filtered components specifically processed for the 2019 extreme heatwave natural experiment 。 data/shapefile/: National Large Scientific Facility shapefiles (e.g., gms.shp) used for precise regional masking and removing extraneous regional characteristics from the analysis. data/scripts/: The complete suite of analytical code: NCL Scripts (v6.6.2): For data preprocessing, EOF analysis, and Cross-Power Spectral Density (CPSD) calculations 。 Python Scripts (v3.12): For phase-space diagnostics, constructing hysteresis loops, and visualizing the cross-scale amplifier effect (nesting analysis) 。 README.md: Detailed instructions on software dependencies and step-by-step figure reproduction 。 Technical Acknowledgments: Computational support for the execution of these analysis workflows was provided by the National Large Scientific and Technological Infrastructure "Earth System Numerical Simulation Facility" (https://cstr.cn/31134.02.EL)。 Data Sources: Raw input data were sourced from the ERA5-Land reanalysis distributed by the Copernicus Climate Change Service (C3S) 。