GSTDTAP  > 气候变化
DOI10.1007/s00382-018-4460-4
Dynamics-based regression models for the South Atlantic Convergence Zone
Nielsen, David Marcolino1; Belem, Andre Luiz2; Marton, Edilson3; Cataldi, Marcio1,2
2019-05-01
发表期刊CLIMATE DYNAMICS
ISSN0930-7575
EISSN1432-0894
出版年2019
卷号52页码:5527-5553
文章类型Article
语种英语
国家Brazil
英文摘要

The South Atlantic Convergence Zone (SACZ) plays a key role in the South American monsoon system (SAMS) precipitation regime, and accounts for around 25% of the rainfall volume over Southeast Brazil between October and April, on average, with peaks of 56% in March and 41% in January. Due to its often varying position and multi-variable structure, diagnosing or quantifying SACZ episodes may lie on subjective criteria. The present study provides a climatological characterization of different SACZ types, based on their position, and differences in dynamics analysed from 19 SAMS wet periods. A cycle in SACZ configurations is identified during the rainy season: northernmost (southernmost) episodes are more likely to occur during the onset/demise (peak) months of the SAMS. Objective SACZ indices are developed taking the principal components of the dynamics of the SACZ as explanatory variables, not including precipitation. The most sensitive threshold proposed for the identification of mean SACZ type yields simultaneous true positive rate of 86%, false alarm rate of 28%, true negative rate of 72% and false negative rate of 15%, for example. The indices have potential to bring gains in predictability to SACZ-related precipitation in Southeast Brazil, apart from allowing the objective diagnosis of SACZ episodes. The indices are also correlated with the South American precipitation dipole and may be used to identify anomalous SAMS precipitation at longer time scales as well.


英文关键词SACZ South American monsoon system Logistic regression Objective index Binary classification Precipitation anomalies
领域气候变化
收录类别SCI-E
WOS记录号WOS:000465441400025
WOS关键词SCALE COMMON FEATURES ; BAIU FRONTAL ZONE ; SURFACE-TEMPERATURE ; AMERICA ; PRECIPITATION ; EVENTS ; MOISTURE ; VARIABILITY ; CIRCULATION ; PATTERNS
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/182601
专题气候变化
作者单位1.Univ Fed Fluminense, Programa Posgrad Engn Biossistemas, Niteroi, RJ, Brazil;
2.Univ Fed Fluminense, Dept Engn Agr & Ambiental, Niteroi, RJ, Brazil;
3.Univ Fed Rio de Janeiro, Inst Geociencias, Dept Meteorol, Rio De Janeiro, Brazil
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Nielsen, David Marcolino,Belem, Andre Luiz,Marton, Edilson,et al. Dynamics-based regression models for the South Atlantic Convergence Zone[J]. CLIMATE DYNAMICS,2019,52:5527-5553.
APA Nielsen, David Marcolino,Belem, Andre Luiz,Marton, Edilson,&Cataldi, Marcio.(2019).Dynamics-based regression models for the South Atlantic Convergence Zone.CLIMATE DYNAMICS,52,5527-5553.
MLA Nielsen, David Marcolino,et al."Dynamics-based regression models for the South Atlantic Convergence Zone".CLIMATE DYNAMICS 52(2019):5527-5553.
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