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由社区地球系统模型(CESM2)表示的碳循环变化的年际和季节驱动因素。

Interannual and Seasonal Drivers of Carbon Cycle Variability Represented by the Community Earth System Model (CESM2).

作者信息

Wieder William R, Butterfield Zachary, Lindsay Keith, Lombardozzi Danica L, Keppel-Aleks Gretchen

机构信息

National Center for Atmospheric Research Climate and Global Dynamics Laboratory Boulder CO USA.

Institute of Arctic and Alpine Research University of Colorado Boulder CO USA.

出版信息

Global Biogeochem Cycles. 2021 Sep;35(9):e2021GB007034. doi: 10.1029/2021GB007034. Epub 2021 Sep 13.

Abstract

Earth system models are intended to make long-term projections, but they can be evaluated at interannual and seasonal time scales. Although the Community Earth System Model (CESM2) showed improvements in a number of terrestrial carbon cycle benchmarks, relative to its predecessor, our analysis suggests that the interannual variability (IAV) in net terrestrial carbon fluxes did not show similar improvements. The model simulated low IAV of net ecosystem production (NEP), resulting in a weaker than observed sensitivity of the carbon cycle to climate variability. Low IAV in net fluxes likely resulted from low variability in gross primary productivity (GPP)-especially in the tropics-and a high covariation between GPP and ecosystem respiration. Although lower than observed, the IAV of NEP had significant climate sensitivities, with positive NEP anomalies associated with warmer and drier conditions in high latitudes, and with wetter and cooler conditions in mid and low latitudes. We identified two dominant modes of seasonal variability in carbon cycle flux anomalies in our fully coupled CESM2 simulations that are characterized by seasonal amplification and redistribution of ecosystem fluxes. Seasonal amplification of net and gross carbon fluxes showed climate sensitivities mirroring those of annual fluxes. Seasonal redistribution of carbon fluxes is initiated by springtime temperature anomalies, but subsequently negative feedbacks in soil moisture during the summer and fall result in net annual carbon losses from land. These modes of variability are also seen in satellite proxies of GPP, suggesting that CESM2 appropriately represents regional sensitivities of photosynthesis to climate variability on seasonal time scales.

摘要

地球系统模型旨在进行长期预测,但可以在年际和季节时间尺度上进行评估。尽管社区地球系统模型(CESM2)相对于其前身在一些陆地碳循环基准方面有所改进,但我们的分析表明,陆地净碳通量的年际变率(IAV)并未显示出类似的改善。该模型模拟的生态系统净生产(NEP)的IAV较低,导致碳循环对气候变化的敏感性低于观测值。净通量的低IAV可能是由于总初级生产力(GPP)变率较低——尤其是在热带地区——以及GPP与生态系统呼吸之间的高协变。尽管低于观测值,但NEP的IAV具有显著的气候敏感性,NEP正异常与高纬度地区更温暖和干燥的条件相关,与中低纬度地区更湿润和凉爽的条件相关。在我们完全耦合的CESM2模拟中,我们确定了碳循环通量异常的两种主要季节变率模式,其特征是生态系统通量的季节放大和重新分配。净碳通量和总碳通量的季节放大显示出与年通量类似的气候敏感性。碳通量的季节重新分配由春季温度异常引发,但随后夏季和秋季土壤湿度的负反馈导致陆地每年的净碳损失。这些变率模式在GPP的卫星代理数据中也可见,这表明CESM2在季节时间尺度上恰当地体现了光合作用对气候变化的区域敏感性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/432d/9285408/d5a91bf866c0/GBC-35-0-g001.jpg

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