globalchange  > 气候变化事实与影响
DOI: 10.5194/hess-20-651-2016
Scopus记录号: 2-s2.0-84958163164
论文题名:
Uncertainties in calculating precipitation climatology in East Asia
作者: Kim J; , Park S; K
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2016
卷: 20, 期:2
起始页码: 651
结束页码: 658
语种: 英语
Scopus关键词: Data flow analysis ; Gages ; Mean square error ; Precipitation (meteorology) ; Rain ; Rain gages ; Spatial distribution ; Statistics ; Uncertainty analysis ; Interannual variability ; Mean precipitation ; Observation networks ; Pattern correlation ; Precipitation climatology ; Precipitation data ; Root mean square errors ; Standard deviation ; Signal to noise ratio ; annual variation ; data set ; in situ measurement ; precipitation (climatology) ; precipitation assessment ; raingauge ; seasonality ; signal-to-noise ratio ; spatial distribution ; Far East
英文摘要: This study examines the uncertainty in calculating the fundamental climatological characteristics of precipitation in the East Asia region from multiple fine-resolution gridded analysis data sets based on in situ rain gauge observations and data assimilations. Five observation-based gridded precipitation data sets are used to derive the long-term means, standard deviations in lieu of interannual variability and linear trends over the 28-year period from 1980 to 2007. Both the annual and summer (June-July-August) mean precipitation is examined. The agreement amongst these precipitation data sets is examined using two metrics including the signal-to-noise ratio (SNR) defined as the ratio between long-term means and the corresponding standard deviations, and Taylor diagrams, which allow examinations of the pattern correlation, the standard deviation, and the centered root mean square error. It is found that the five gauge-based precipitation analysis data sets agree well in the long-term mean and interannual variability in most of the East Asia region including eastern China, Manchuria, South Korea, and Japan, which are densely populated and have fairly high-density observation networks. The regions of large inter-data-set variations include Tibetan Plateau, Mongolia, northern Indo-China, and North Korea. The regions of large uncertainties are typically lightly populated and are characterized by severe terrain and/or extremely high elevations. Unlike the long-term mean and interannual variability, agreement between data sets in the linear trend is weak, both for the annual and summer mean values. In most of the East Asia region, the SNR for the linear trend is below 0.5: the inter-data-set variability exceeds the multi-data ensemble mean. The uncertainty in the spatial distribution of long-term means among these data sets occurs both in the spatial pattern and variability, but the uncertainty for the interannual variability and time trend is much larger in the variability than in the pattern correlation. Thus, care must be taken in using long-term trends calculated from gridded precipitation analysis data for climate studies over the East Asia region. © 2016 Author(s).
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78917
Appears in Collections:气候变化事实与影响

Files in This Item:

There are no files associated with this item.


作者单位: Joint Institute for Regional Earth System Science and Engineering, UCLA, Los Angeles, CA, United States; Department of Atmospheric and Oceanic Sciences, UCLA, Los Angeles, CA, United States; Department of Environmental Science and Engineering, Ewha Womans University, Seoul, South Korea; Department of Atmospheric Science and Engineering, Ewha Womans University, Seoul, South Korea; Severe Storm Research Center, Ewha Womans University, Seoul, South Korea; Center for Climate/Environment Change Prediction Research, Ewha Womans University, Seoul, South Korea

Recommended Citation:
Kim J,, Park S,K. Uncertainties in calculating precipitation climatology in East Asia[J]. Hydrology and Earth System Sciences,2016-01-01,20(2)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Kim J]'s Articles
[, Park S]'s Articles
[K]'s Articles
百度学术
Similar articles in Baidu Scholar
[Kim J]'s Articles
[, Park S]'s Articles
[K]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Kim J]‘s Articles
[, Park S]‘s Articles
[K]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.