News and Progress
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The Chinese Academy of Sciences Earth System Model (CAS-ESM2.0), a sophisticated Earth modeling tool, has achieved a major breakthrough in fully coupled atmospheric CO2 simulation, as revealed in the latest report published in Advances in Atmospheric Sciences. Their findings highlight CAS-ESM2.0s exceptional capability in bi-directional coupling of terrestrialmarine carbon cycles, along with atmospheric CO2, enabling accurate spatiotemporal assessments of atmospheric CO2 changes......
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Numerical modeling is an important way to study evolution mechanism of whole earth spheresits prediction of future climate status provides science advice to policy makers. Along with improved understanding of the earth, the physicalchemical processes in the model are well represented. Still, the traditional climate system model has been unable to meet societal needs.
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Human activities, such as urban planning, irrigationagricultural fertilization, affect terrestrial carbon, nitrogenwater cycle processesaquatic ecosystems. Some human activities lead to water stress-- the lack of fresh water resources to meet the standard water demand--ecological environment damage, including groundwater lateral flow,the movement of frostthaw fronts. These changes in turn alter energy balancewater budget,affect weather, climateenvironment.
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In centraleastern China, regional heavy haze pollution occurs frequently in winter. The relationship between large-scale regional air pollutionurban haze has always been a key concern with respect to China’s air pollution. Dr. LU MiaomiaoAssociate Professor TANG Xiao from Institute of Atmospheric Physics, Chinese Academy of Sciences analyzed a 30-day fine-particle (PM2.5) pollution process that occurred in Wuhan, a megacity in central China, in a recently published study in Advances in Atmospheric Sciences.
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Terrestrial ecosystemsenvironments are pivotal for human beings. In the past several decades, rapid climate change has resulted in considerable changes to terrestrial ecosystems,these changes in turn significantly affect the climate. At present, dynamic global vegetation models (DGVMs) are the best available tool to represent vegetation dynamics at the global scale.
