Jian Cao, Zhuhao Gao, Zhiyong Kong, Na Gao, Mengying Zhao, Kun Wu, Ruizi Shi, Xiaohan Li, xiao zhang, Miao Yu, Siguang Zhu, Libin Ma, xiangjun shi. 2026: NUIST ESM v3 Dataset for the SSP2-com scenario. Adv. Atmos. Sci., https://doi.org/10.1007/s00376-026-6482-x
Citation: Jian Cao, Zhuhao Gao, Zhiyong Kong, Na Gao, Mengying Zhao, Kun Wu, Ruizi Shi, Xiaohan Li, xiao zhang, Miao Yu, Siguang Zhu, Libin Ma, xiangjun shi. 2026: NUIST ESM v3 Dataset for the SSP2-com scenario. Adv. Atmos. Sci., https://doi.org/10.1007/s00376-026-6482-x

NUIST ESM v3 Dataset for the SSP2-com scenario

  • The Nanjing University of Information Science and Technology Earth System Model version 3 (NUIST ESM v3) provides an ensemble dataset for the SSP2-com scenario, which represents a pathway consistent with limiting global warming to around 2°C. Ten ensemble simulations were conducted from 2015 to 2200 using greenhouse gas concentrations from the SSP2-com scenario and two different types of aerosol forcing. The simulations project that global mean surface temperature (GMST) peaks at approximately 2.15 °C above the pre-industrial level at the 2070s, decreases to about 2.02 °C by 2100, and continues to decline to around 1.3 °C by the end of the 22nd century. Compared with SSP2-4.5, the SSP2-com scenario avoids roughly 0.5°C of warming by 2100. The projected warming pattern is characterized by enhanced high-latitude warming and distinct sea surface temperature changes across the Pacific Ocean. Associated changes in precipitation include increased rainfall over major Northern and Southern Hemisphere monsoon regions and shifts in large-scale atmospheric circulation. The dataset provides monthly, daily, and 6-hourly climate variables and serves as a valuable resource for climate change, impacts, and mitigation studies.
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