Source Data for: Accelerating lake ice loss threatens the viability of the winter economy in Northeast China

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Authors: Lu, Peng, Puzhen Huo, Matti Leppäranta, Bin Cheng, Georgiy Kirillin, Miao Yu, Xuewei Li, Qingkai Wang, Zhijun Li
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Abstract

This dataset contains the underlying source data for Figures 2, 3, 4, and 5 of the manuscript "Accelerating lake ice loss threatens the viability of the winter economy in Northeast China". The dataset presents century-scale reconstructed lake ice phenology (Freeze-up, Break-up, and Ice Duration) for 32 lakes in Northeast China, spanning from 1901 to 2100. Data were generated using a physics-informed hybrid model driven by CMIP6 meteorological forcing. Contents: Historical Period (1901–2014): Simulations driven by CMIP6 historical experiments. Future Period (2015–2100): Projections driven by CMIP6 scenarios (SSP126, SSP370, and SSP585). Methodology Note: The hybrid model couples a thermodynamic lake ice core with a machine learning residual correction module to reduce simulation errors in ice phenology. Data Structure: The data is provided in a single Excel file (.xlsx), where each worksheet corresponds to a specific figure panel in the manuscript.

Fields of Study & Subjects

Cryospheric studies and observations Climate variability and models Geology and Paleoclimatology Research

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
18 January 2026
Language
EN
Document type
Dataset