气候变化领域集成服务门户(CCPortal): Fundamentals of data assimilation applied to biogeochemistry

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DOI	10.5194/acp-19-13911-2019
	Fundamentals of data assimilation applied to biogeochemistry
	Rayner P.J.; Michalak A.M.; Chevallier F.
发表日期	2019
ISSN	16807316
起始页码	13911
结束页码	13932
卷号	19 期号:22
英文摘要	This article lays out the fundamentals of data assimilation as used in biogeochemistry. It demonstrates that all of the methods in widespread use within the field are special cases of the underlying Bayesian formalism. Methods differ in the assumptions they make and information they provide on the probability distributions used in Bayesian calculations. It thus provides a basis for comparison and choice among these methods. It also provides a standardised notation for the various quantities used in the field. © 2019 BMJ Publishing Group. All rights reserved.
语种	英语
scopus关键词	Bayesian analysis; biogeochemistry; data assimilation; data set; probability
来源期刊	Atmospheric Chemistry and Physics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/144038
作者单位	School of Earth Sciences, University of Melbourne, Melbourne, Australia; Department of Global Ecology, Carnegie Institution for Science, Stanford, United States; Laboratoire des Sciences du Climat et de l'Environnement, Gif-sur-Yvette, France
推荐引用方式 GB/T 7714	Rayner P.J.,Michalak A.M.,Chevallier F.. Fundamentals of data assimilation applied to biogeochemistry[J],2019,19(22).
APA	Rayner P.J.,Michalak A.M.,&Chevallier F..(2019).Fundamentals of data assimilation applied to biogeochemistry.Atmospheric Chemistry and Physics,19(22).
MLA	Rayner P.J.,et al."Fundamentals of data assimilation applied to biogeochemistry".Atmospheric Chemistry and Physics 19.22(2019).