耦合模型比对项目
亚马逊雨林
森林砍伐(计算机科学)
环境科学
气候变化
强迫(数学)
气候学
温室气体
水循环
降水
气候模式
归属
大气科学
地理
生态学
气象学
生物
地质学
计算机科学
心理学
社会心理学
程序设计语言
作者
Yue Li,Jessica C. A. Baker,Paulo M. Brando,Forrest M. Hoffman,David M. Lawrence,Douglas C. Morton,Abigail L. S. Swann,Maria del Rosario Uribe,James T. Randerson
标识
DOI:10.1038/s44221-023-00128-y
摘要
Several different drivers are contributing to climate change within the Amazon basin, including forcing from greenhouse gases and aerosols, plant physiology responses to rising CO2, and deforestation. Attribution among these drivers has not been quantified for Shared Socioeconomic Pathway (SSP) climate simulations. Here we identify the contribution of CO2 physiology and deforestation to future hydroclimate change in the Amazon basin by combining information from four experiments and eight different Earth system models in Coupled Model Intercomparison Project Phase 6. Together, forcing from CO2 physiology and deforestation account for about 44% of the projected annual precipitation decline, 48% of surface relative humidity decline and 11% of warming over the Amazon basin by 2100 for SSP3-7.0. Other Coupled Model Intercomparison Project Phase 6 SSP simulations have similar contributions from the two drivers. Insight from our attribution analysis can aid in identifying research priorities aimed at reducing uncertainty in future projections of water availability, carbon dynamics and wildfire risk. It is critical to understand different drivers of regional hydroclimate change and to reduce uncertainty in future projections. This study disentangles the effects of CO2 physiology and deforestation on projected precipitation, surface relative humidity and air temperature in Amazonia using multiple Coupled Model Intercomparison Project Phase 6 experiments.
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