气候变化领域集成服务门户(CCPortal): A periodic mixed linear state-space model to monthly long-term temperature data

CCPortal

DOI	10.1002/env.2550
	A periodic mixed linear state-space model to monthly long-term temperature data
	Costa, M.; Monteiro, M.
发表日期	2019-08-01
ISSN	1180-4009
EISSN	1099-095X
卷号	30 期号:5
英文摘要	In recent decades, the world has been confronted with the consequences of global warming; however, this phenomenon is not reflected equally in every part of the globe. Thus, the warming phenomenon must be monitored in a more regional or local scale. This
关键词	air temperature climate change Kalman filter Portuguese cities seasonality time series analysis
学科领域	Environmental Sciences;Mathematics, Interdisciplinary Applications;Statistics & Probability
语种	英语
WOS记录号	WOS:000474659600002
来源期刊	ENVIRONMETRICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/80526
作者单位	Univ Aveiro, Agueda Sch Technol & Management ESTGA, P-3754909 Agueda, Portugal
推荐引用方式 GB/T 7714	Costa, M.,Monteiro, M.. A periodic mixed linear state-space model to monthly long-term temperature data[J],2019,30(5).
APA	Costa, M.,&Monteiro, M..(2019).A periodic mixed linear state-space model to monthly long-term temperature data.ENVIRONMETRICS,30(5).
MLA	Costa, M.,et al."A periodic mixed linear state-space model to monthly long-term temperature data".ENVIRONMETRICS 30.5(2019).