Global reconstructed and simulated lake surface temperature dataset for impact attribution

This repository contains the datasets associated with the paper:Impact attribution of anthropogenic forcing on lake surface temperatureThe dataset includes:Daily and annual mean reconstructed lake surface temperature for approximately 600,000 global lakes;Update note: the time coverage of reconstructed lake surface temperature has been extended from 1950–2020/2023 (as analyzed in the paper) to 1950–2024 in this repository;Annual mean lake surface temperatures simulated using GCM data under different forcing experiments (historical, SSP2-4.5, hist-GHG, hist-aer, hist-nat, piControl, etc.);Analyzed data used to reproduce all main figures in the paper.ContentsPaperData Folder containing the analyzed data used to generate main figureshist-GHG.tar.gz Lake surface temperature simulations under GHG-only forcinghist-aer.tar.gz Lake surface temperature simulations under aerosol-only forcinghist-nat.tar.gz Lake surface temperature simulations under natural forcing onlyhist-noLu.tar.gz Lake surface temperature simulations under all forcings except land usehistorical_ssp245.tar.gz Lake surface temperature simulations from historical (1850–2014) to SSP2-4.5 (2015–2100)obs_recon.tar.gz Reconstructed lake surface temperature from observations for ~600,000 global lakespic.tar.gz piControl simulations (pre-industrial baseline)plot_functions.py Core Python functions for generating figuresplot_main_figures.ipynb Jupyter notebook to reproduce all main figures in the paperData detailsEach *.tar.gz data file contains annual mean lake surface temperature processed for figure reproduction.

Data are organized by GCM model. For example, hist-noLu.tar.gz extracts to:hist-noLu/ └── yr/ ├── CMCC-ESM2_hist-noLu_1950-2014.zarr ├── GFDL-ESM4_hist-noLu_1950-2014.zarr ├── EC-Earth3-CC_hist-noLu_1950-2014.zarr ├── UKESM1-0-LL_hist-noLu_1950-2014.zarr └── BCC-CSM2-MR_hist-noLu_1950-2014.zarr All GCM-based simulation data cover 1950–2014, except historical_ssp245 which extends to 2020 under SSP2-4.5.obs_recon.tar.gz provides reconstructed daily and annual mean lake surface temperature for approximately 600,000 global lakes, covering 1950–2024.Code usagePut plot_functions.py, plot_main_figures.ipynb, and PaperData in the same folder, then run the Jupyter notebook to reproduce all main figures:jupyter notebook plot_main_figures.ipynb