Climate Change Data Portal
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). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。