气候变化领域集成服务门户(CCPortal): Histogram anomaly time series : A compact graphical representation of spatial time series data sets

CCPortal

DOI	10.1175/BAMS-D-20-0130.1
	Histogram anomaly time series : A compact graphical representation of spatial time series data sets
	Potter G.L.; Huffman G.J.; Bolvin D.T.; Bosilovich M.G.; Hertz J.; Carriere L.E.
发表日期	2020
ISSN	00030007
起始页码	E2133
结束页码	E2137
卷号	101 期号:12
英文摘要	We introduce a simple method for detecting changes, both transient and persistent, in reanalysis and merged satellite products due to both natural climate variability and changes to the data sources/analyses used as input. This note demonstrates this Histogram Anomaly Time Series (HATS) method using tropical ocean daily precipitation from MERRA-2 and from GPCP One-Degree Daily (1DD) precipitation estimates. Rather than averaging over space or time, we create a time series display of histograms for each increment of data (such as a day or month). Regional masks such as land-ocean can be used to isolate particular domains. While the histograms reveal subtle structures in the time series, we can amplify the signal by computing the histogram's anomalies from its climatological seasonal cycle. The qualitative analysis provided by this scheme can then form the basis for more quantitative analyses of specific features, both real and analysis induced. As an example, in the tropical oceans the analysis clearly identifies changes in the time series of both reanalysis and observations that may be related to changing inputs. ©2020 American Meteorological Society.
英文关键词	Atmosphere; Precipitation; Reanalysis data; Satellite observations; Time series
语种	英语
scopus关键词	Graphic methods; Time series; Tropics; Daily precipitations; Graphical representations; Natural climate variabilities; Qualitative analysis; Satellite products; Seasonal cycle; Time-series data; Tropical ocean; Time series analysis
来源期刊	Bulletin of the American Meteorological Society
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/177788
作者单位	Center for Climate Simulation, Greenbelt, MD, United States; Mesoscale Atmospheric Processes Laboratory, Nasa Goddard Space Flight Center, Greenbelt, MD, United States; Mesoscale Atmospheric Processes Laboratory, Nasa Goddard Space Flight Center, Science Systems and Applications Inc., Greenbelt, MD, United States; Nasa Goddard Space Flight Center, Global Modeling and Assimilation Office, Greenbelt, MD, United States
推荐引用方式 GB/T 7714	Potter G.L.,Huffman G.J.,Bolvin D.T.,et al. Histogram anomaly time series : A compact graphical representation of spatial time series data sets[J],2020,101(12).
APA	Potter G.L.,Huffman G.J.,Bolvin D.T.,Bosilovich M.G.,Hertz J.,&Carriere L.E..(2020).Histogram anomaly time series : A compact graphical representation of spatial time series data sets.Bulletin of the American Meteorological Society,101(12).
MLA	Potter G.L.,et al."Histogram anomaly time series : A compact graphical representation of spatial time series data sets".Bulletin of the American Meteorological Society 101.12(2020).