An innovative approach to predicting global warming without using climate model simulations  

作　　者：Guang J.Zhang 

机构地区：[1]Scripps Institution of Oceanography,La Jolla,CA,USA

出　　处：《National Science Review》2025年第2期138-139,共2页国家科学评论(英文版)

摘　　要：Global warming projections rely heavily on climate model sim-ulations.Due to too many tuning knobs in climate models,such as the representation of clouds and convection,global warming projections have a large range of inter-model spreads.Climate sensitivity,which measures how much the Earth’s surface tem-perature increases when the amount of CO_(2) in the atmosphere is doubled in a future climate,strongly depends on the feed-back from clouds and convection,albedo,water vapor and at-mospheric temperature,etc.The climate sensitivity and related climate feedbacks have been studied extensively in the literature.Yet,their uncertainties remain high[1].A major stumbling block is the uncertainty in non-temperature feedbacks such as cloud feedback.

关 键 词：WARMING CLIMATE EARTH 

分 类 号：P46[天文地球—大气科学及气象学]