Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-18-10333-2018 |
Contrasting interannual atmospheric CO2 variabilities and their terrestrial mechanisms for two types of El Ninos | |
Wang, Jun1,2; Zeng, Ning2,3,4; Wang, Meirong5; Jiang, Fei1; Chen, Jingming1,6; Friedlingstein, Pierre7; Jain, Atul K.8; Jiang, Ziqiang1; Ju, Weimin1; Lienert, Sebastian9,10; Nabel, Julia11; Sitch, Stephen12; Viovy, Nicolas13; Wang, Hengmao1; Wiltshire, Andrew J.14 | |
2018-07-19 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS |
ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2018 |
卷号 | 18期号:14页码:10333-10345 |
文章类型 | Article;Proceedings Paper |
语种 | 英语 |
国家 | Peoples R China; USA; Canada; England; Switzerland; Germany; France |
英文摘要 | El Nino has two different flavors, eastern Pacific (EP) and central Pacific (CP) El Ninos, with different global teleconnections. However, their different impacts on the interannual carbon cycle variability remain unclear. Here we compared the behaviors of interannual atmospheric CO2 variability and analyzed their terrestrial mechanisms during these two types of El Ninos, based on the Mauna Loa (MLO) CO2 growth rate (CGR) and the Dynamic Global Vegetation Model's (DGVM) historical simulations. The composite analysis showed that evolution of the MLO CGR anomaly during EP and CP El Ninos had three clear differences: (1) negative or neutral precursors in the boreal spring during an El Nino developing year (denoted as "yr0"), (2) strong or weak amplitudes, and (3) durations of the peak from December (yr0) to April during an El Nino decaying year (denoted as "yr1") compared to October (yr0) to January (yr1) for a CP El Nino, respectively. The global land-atmosphere carbon flux (F-TA) simulated by multi-models was able to capture the essentials of these characteristics. We further found that the gross primary productivity (GPP) over the tropics and the extratropical Southern Hemisphere (Trop + SH) generally dominated the global F-TA variations during both El Nino types. Regional analysis showed that during EP El Nino events significant anomalous carbon uptake caused by increased precipitation and colder temperatures, corresponding to the negative precursor, occurred between 30 degrees S and 20 degrees N from January (yr0) to June (yr0). The strongest anomalous carbon releases, largely due to the reduced GPP induced by low precipitation and warm temperatures, occurred between the equator and 20 degrees N from February (yr1) to August (yr1). In contrast, during CP El Nino events, clear carbon releases existed between 10 degrees N and 20 degrees S from September (yr0) to September (yr1), resulting from the widespread dry and warm climate conditions. Different spatial patterns of land temperatures and precipitation in different seasons associated with EP and CP El Ninos accounted for the evolutionary characteristics of GPP, terrestrial ecosystem respiration (TER), and the resultant F-TA. Understanding these different behaviors of interannual atmospheric CO2 variability, along with their terrestrial mechanisms during EP and CP El Ninos, is important because the CP El Nino occurrence rate might increase under global warming. |
领域 | 地球科学 |
收录类别 | SCI-E ; ISTP |
WOS记录号 | WOS:000439171300004 |
WOS关键词 | CARBON-DIOXIDE ; CLIMATE-CHANGE ; PACIFIC RIM ; GROWTH-RATE ; LAND ; CYCLE ; SENSITIVITY ; EMISSIONS ; MODOKI ; TRENDS |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
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/19507 |
专题 | 地球科学 |
作者单位 | 1.Nanjing Univ, Int Inst Earth Syst Sci, Nanjing, Jiangsu, Peoples R China; 2.Inst Atmospher Phys, State Key Lab Numer Modelling Atmospher Sci & Gep, Beijing, Peoples R China; 3.Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USA; 4.Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA; 5.Nanjing Univ Informat Sci & Technol, Minist Educ, Key Lab Meteorol Disaster, Joint Ctr Data Assimilat Res & Applicat, Nanjing, Jiangsu, Peoples R China; 6.Univ Toronto, Dept Geog, Toronto, ON M5S3G3, Canada; 7.Univ Exeter, Coll Engn Math & Phys Sci, Exeter EX4 4QF, Devon, England; 8.Univ Illinois, Dept Atmospher Sci, Urbana, IL 61801 USA; 9.Univ Bern, Inst Phys, Climate & Environm Phys, Bern, Switzerland; 10.Univ Bern, Oeschger Ctr Climate Change Res, Bern, Switzerland; 11.Max Planck Inst Meteorol, Land Earth Syst, D-20146 Hamburg, Germany; 12.Univ Exeter, Coll Life & Environm Sci, Exeter EX4 4RJ, Devon, England; 13.UVQS, CNRS, CEA, LSCE,IPSL, F-91191 Gif Sur Yvette, France; 14.Met Off Hadley Ctr, FitzRoy Rd, Exeter EX1 3PB, Devon, England |
推荐引用方式 GB/T 7714 | Wang, Jun,Zeng, Ning,Wang, Meirong,et al. Contrasting interannual atmospheric CO2 variabilities and their terrestrial mechanisms for two types of El Ninos[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2018,18(14):10333-10345. |
APA | Wang, Jun.,Zeng, Ning.,Wang, Meirong.,Jiang, Fei.,Chen, Jingming.,...&Wiltshire, Andrew J..(2018).Contrasting interannual atmospheric CO2 variabilities and their terrestrial mechanisms for two types of El Ninos.ATMOSPHERIC CHEMISTRY AND PHYSICS,18(14),10333-10345. |
MLA | Wang, Jun,et al."Contrasting interannual atmospheric CO2 variabilities and their terrestrial mechanisms for two types of El Ninos".ATMOSPHERIC CHEMISTRY AND PHYSICS 18.14(2018):10333-10345. |
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