GSTDTAP  > 气候变化
DOI10.1029/2019GL085311
Predictability Horizons in the Global Carbon Cycle Inferred From a Perfect-Model Framework
Spring, Aaron1,2; Ilyina, Tatiana1
2020-05-16
发表期刊GEOPHYSICAL RESEARCH LETTERS
ISSN0094-8276
EISSN1944-8007
出版年2020
卷号47期号:9
文章类型Article
语种英语
国家Germany
英文摘要

On interannual timescales the growth rate of atmospheric CO2 is largely controlled by the response of the land and ocean carbon sinks to climate variability. Yet, it is unknown to what extent this variability limits the predictability of atmospheric CO2 variations. Using perfect-model Earth System Model simulations, we show that variations in atmospheric CO2 are potentially predictable for 3 years. We find a 2-year predictability horizon for global oceanic CO2 flux with longer regional predictability of up to 7 years. The 2-year predictability horizon of terrestrial CO2 flux originates in the tropics and midlatitudes. With the predictability of the isolated effects of land and ocean carbon sink on atmospheric CO2 of 5 and 12 years respectively, land dampens the overall predictability of atmospheric CO2 variations. Our research shows the potential of Earth System Model-based predictions to forecast multiyear variations in atmospheric CO2.


英文关键词decadal predictability atmospheric CO2 carbon fluxes internal variability Earth System Model
领域气候变化
收录类别SCI-E
WOS记录号WOS:000536639500054
WOS关键词EARTH SYSTEM MODEL ; DECADAL PREDICTABILITY ; OCEAN BIOGEOCHEMISTRY ; NATURAL VARIABILITY ; ATMOSPHERIC CO2 ; DIOXIDE ; PREDICTION ; TRENDS ; LAND ; ENSO
WOS类目Geosciences, Multidisciplinary
WOS研究方向Geology
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/279928
专题气候变化
作者单位1.Max Planck Inst Meteorol, Hamburg, Germany;
2.IMPRS, Max Planck Inst Meteorol, Int Max Plank Res Sch Earth Syst Modelling, Hamburg, Germany
推荐引用方式
GB/T 7714
Spring, Aaron,Ilyina, Tatiana. Predictability Horizons in the Global Carbon Cycle Inferred From a Perfect-Model Framework[J]. GEOPHYSICAL RESEARCH LETTERS,2020,47(9).
APA Spring, Aaron,&Ilyina, Tatiana.(2020).Predictability Horizons in the Global Carbon Cycle Inferred From a Perfect-Model Framework.GEOPHYSICAL RESEARCH LETTERS,47(9).
MLA Spring, Aaron,et al."Predictability Horizons in the Global Carbon Cycle Inferred From a Perfect-Model Framework".GEOPHYSICAL RESEARCH LETTERS 47.9(2020).
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