Code for: Future climate extremes enhance interannual variability of net primary production in Central Asia

The code can be used to reproduce the analysis results and figures presented in Chu et al. (2026), published in Environmental Research Letters (DOI: 10.1088/1748-9326/ae6dd4). The study investigates how intensifying climate extremes — droughts, heatwaves, anomalous wet periods, and compound dry-hot events — amplify the interannual variability (IAV) of net primary production (NPP) across Central Asia under CMIP6 multi-model projections (SSP126 and SSP585) throughout the 21st century.Raw CMIP6 climate and NPP inputs are available from the Earth System Grid Federation (ESGF) at esgf-node.llnl.gov/projects/cmip6/.

The processed data tables derived from CMIP6 NPP and climate model outputs (temperature, precipitation) are available via Zenodo (DOI: 10.5281/zenodo.18686207) or via ScienceDB.The deposit includes complete R analysis code covering sensitivity analyses, IAV threshold identification, main attribution analysis, and figure generation. The code can also be available via GitHub (github.com/Programmer112321/Future-climate-extremes-enhance-interannual-variability-of-net-primary-production-in-Central-Asia).