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Published 2026 | Version v1
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Data and Code for paper titled with "Global drought shows no detectable recent acceleration under climate warming"

  • 1. Tsinghua Shenzhen International Graduate School, Tsinghua University
  • 2. Department of Earth and Planetary Sciences, Harvard University
  • 3. Department of Geography, Université de Montréal
  • 4. Faculty of Geographical Science, Beijing Normal University
  • 5. Department of Forestry and Natural Resources, University of Kentucky

Description

# Replication Data and Code for: No detectable recent acceleration in global drought under climate warming

This repository contains the source code, processed NetCDF (NC) datasets, and generated plots required to replicate the findings and figures presented in the manuscript. 

## Repository Structure

The repository is organized into three main directories:

* **`Code/`**: Contains all Python processing and visualization scripts used to analyze the drought metrics and generate the final figures for both the Main Text and Supplementary Information (SI).
* **`NC/`**: Contains the processed NetCDF datasets used as the **direct input data** for the plotting and analysis scripts.
* **`plot/`**: Contains the output figures generated by the scripts in high resolution (PNG formats), including both main text figures and SI figures.

### The code is built using Python 3.8.18. 

Files

Code_and_Data_CEE_for_review.zip

Files (69.5 MB)

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Additional details

Software

Programming language
Python