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DOI10.1007/s00382-017-3549-5
Quantitative assessment of drivers of recent global temperature variability: an information theoretic approach
Bhaskar, Ankush1; Ramesh, Durbha Sai1; Vichare, Geeta1; Koganti, Triven2,3; Gurubaran, S.1
2017-12-01
发表期刊CLIMATE DYNAMICS
ISSN0930-7575
EISSN1432-0894
出版年2017
卷号49
文章类型Article
语种英语
国家India; Australia
英文摘要

Identification and quantification of possible drivers of recent global temperature variability remains a challenging task. This important issue is addressed adopting a non-parametric information theory technique, the Transfer Entropy and its normalized variant. It distinctly quantifies actual information exchanged along with the directional flow of information between any two variables with no bearing on their common history or inputs, unlike correlation, mutual information etc. Measurements of greenhouse gases: , and ; volcanic aerosols; solar activity: UV radiation, total solar irradiance (TSI) and cosmic ray flux (CR); El Nio Southern Oscillation (ENSO) and Global Mean Temperature Anomaly (GMTA) made during 1984-2005 are utilized to distinguish driving and responding signals of global temperature variability. Estimates of their relative contributions reveal that (), () and volcanic aerosols () are the primary contributors to the observed variations in GMTA. While, UV () and ENSO () act as secondary drivers of variations in the GMTA, the remaining play a marginal role in the observed recent global temperature variability. Interestingly, ENSO and GMTA mutually drive each other at varied time lags. This study assists future modelling efforts in climate science.


英文关键词Aerosols Global temperature variability ENSO Greenhouse gases Transfer entropy Climate Information theory
领域气候变化
收录类别SCI-E
WOS记录号WOS:000415579000014
WOS关键词CORRELATED TIME-SERIES ; CLIMATE-CHANGE ; EL-NINO ; TRANSFER ENTROPY ; POSSIBLE CONNECTION ; GRANGER CAUSALITY ; SOLAR VARIABILITY ; GREENHOUSE GASES ; MAUNDER MINIMUM ; COSMIC-RAYS
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
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文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/35293
专题气候变化
作者单位1.Indian Inst Geomagnetism, New Panvel 410218, Navi Mumbai, India;
2.Indian Inst Technol, Kharagpur, W Bengal, India;
3.Univ New South Wales, Sydney, NSW, Australia
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GB/T 7714
Bhaskar, Ankush,Ramesh, Durbha Sai,Vichare, Geeta,et al. Quantitative assessment of drivers of recent global temperature variability: an information theoretic approach[J]. CLIMATE DYNAMICS,2017,49.
APA Bhaskar, Ankush,Ramesh, Durbha Sai,Vichare, Geeta,Koganti, Triven,&Gurubaran, S..(2017).Quantitative assessment of drivers of recent global temperature variability: an information theoretic approach.CLIMATE DYNAMICS,49.
MLA Bhaskar, Ankush,et al."Quantitative assessment of drivers of recent global temperature variability: an information theoretic approach".CLIMATE DYNAMICS 49(2017).
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