气候变化领域集成服务门户(CCPortal): Self-organization maps (SOM) in the definition of a “transfer function” for a diatoms-based climate proxy

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DOI	10.1007/s00382-020-05482-1
	Self-organization maps (SOM) in the definition of a “transfer function” for a diatoms-based climate proxy
	Acevedo-Acosta J.D.; Martínez-López A.; Morales-Acoltzi T.; Albáñez-Lucero M.; Verdugo-Díaz G.
发表日期	2020
ISSN	0930-7575
英文摘要	This study utilizes self-organizing maps (SOM) —a particular type of artificial neural network (ANN) — as a nonlinear analysis tool for identifying species that can be used as proxies for climate variables. Instrumental, environmental, and biological time-series data from the Alfonso Basin (Gulf of California) were analyzed. The analysis comprised three stages: (1) standardization and selection of biological databases; (2) elimination of noise in the time series data; (3) definition of an ANN architecture and assessment of differences between models built using either noisy or noiseless time series. Noise reduction improved the SOM outputs. A global structuring index was estimated to define the associative linkage between diatoms and climate variables. The results showed that diatoms identified are the most suitable proxies for reconstructing the main climate variables including precipitation, atmospheric temperature, and sea surface temperature. The method developed has the potential to improve the hierarchization and selection of variables that can be potentially reconstructed without a significant loss of climate information. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
英文关键词	Artificial neural networks; Climate proxy; Nonlinear parameters for noise reduction; Parameters for optimal architecture network; Planktonic diatoms
语种	英语
来源期刊	Climate Dynamics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/145687
作者单位	Instituto Politécnico Nacional, Centro Interdisciplinario de Ciencias Marinas–IPN (CICIMAR), Av. Instituto Politécnico Nacional S/N, Col. Playa Palo de Santa Rita, La Paz, B.C.S. 23096, Mexico; Grupo de Modelación Matemática de Procesos Atmosféricos, Centro de Ciencias de La Atmósfera, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
推荐引用方式 GB/T 7714	Acevedo-Acosta J.D.,Martínez-López A.,Morales-Acoltzi T.,等. Self-organization maps (SOM) in the definition of a “transfer function” for a diatoms-based climate proxy[J],2020.
APA	Acevedo-Acosta J.D.,Martínez-López A.,Morales-Acoltzi T.,Albáñez-Lucero M.,&Verdugo-Díaz G..(2020).Self-organization maps (SOM) in the definition of a “transfer function” for a diatoms-based climate proxy.Climate Dynamics.
MLA	Acevedo-Acosta J.D.,et al."Self-organization maps (SOM) in the definition of a “transfer function” for a diatoms-based climate proxy".Climate Dynamics (2020).