Data and code package accompanying manuscript "Scale-dependent reorganization of daily temperature variability under global warming"

This repository package accompanies the manuscript:"Scale-Dependent Reorganization of Daily Temperature Variability under Global Warming" The package contains Python code for:1. Solving the minimal weakly stochastic nonlinear model.2. Computing the expansion, flatness, and spikiness diagnostics described in the manuscript.3. Reproducing manuscript figures from generated model output and processed observational summaries.4. Storing processed data tables. Scope noteThe original raw observational datasets are **not redistributed** in this package. NASA GISTEMP, NOAA GHCN-Daily, and HadEX3 should be obtained from their official public archives. This package provides reproducible Python code for processing those datasets when local copies are available, model-output data generated by the included scripts, processed summary tables used in the manuscript, plot-generation code, and a clearly labeled schematic/template time series for testing the Figure 4 plotting workflow when raw observational time series are not redistributed.The station and gridded diagnostics depend on the exact station subset, completeness filters, baseline period, and local copies of GHCN-Daily/HadEX3 files. The code is written to make those choices explicit and reproducible. CitationPlease cite this data package and the manuscript when using this package. More details of the descriptions can be found in README.md.