| GEOPHYSICS, ASTRONOMY, AND ASTROPHYSICS |
Prev
|
|
|
Changing characteristics and spatial differentiation of spring precipitation in Southwest China during 1961-2012 |
| Liu Hong-Lan (刘洪兰)a, Zhang Qiang (张强)b, Zhang Jun-Guo (张俊国)c, Hu Wen-Chao (胡文超)d, Guo Jun-Qin (郭俊琴)e, Wang Sheng (王胜)f |
a Zhangye Meteorological Bureau, Zhangye 734000, China;
b Institute of Arid Meteorology, China Meteorological Administration, Key Laboratory of Arid Climatic Change and Disaster Reduction of Gansu Province, Key Laboratory of Arid Climate Change and Disaster Reduction of China Meteorological Administration, Lanzhou 730020, China;
c Zhangye Middle School, Zhangye 734000, China;
d Meteorological Service Center of Gansu Province, Lanzhou 730020, China;
e Northwest Regional Climate Center, Lanzhou 730020, China;
f Jinta County Meteorological Bureau, Jinta 735300, China |
|
|
|
|
Abstract In this study, we analyze spring precipitation from 92 meteorological stations spanning between 1961 and 2012 to understand temporal-spatial variability and change of spring precipitation over Southwest China. Various analysis methods are used for different purposes, including empirical orthogonal function (EOF) analysis and rotated EOF (REOF) for analyzing spatial structure change of precipitation anomaly, and the Mann-Kendall testing method to determine whether there were abrupt changes during the analyzed time span. We find that the first spatial mode of the precipitation has a domain uniform structure; the second is dominated by a spatial dipole; and the third contains five variability centers. The 2000s is the decade with the largest amount of precipitation while the 1990s is the decade with the smallest amount of precipitation. The year-to-year difference of that region is large: the amount of the largest precipitation year doubles that of the smallest precipitation year. We also find that spring precipitation in Southwest China experienced a few abrupt changes: a sudden increase at 1966, a sudden decrease at 1979, and a sudden increase at 1995. We speculate that the spring precipitation will increase gradually in the next two decades.
|
Received: 17 June 2014
Revised: 12 September 2014
Accepted manuscript online:
|
|
PACS:
|
92.05.Df
|
(Climate and inter-annual variability)
|
| |
92.40.Cy
|
(Modeling; general theory)
|
| |
92.40.Ea
|
(Precipitation)
|
|
| Fund: Project supported by the National Basic Research Program of China (Grant No. 2013CB430200 (2013CB430206)) and the Sixth Program Ten Talented People of the Meteorological Bureau of Gansu Province, China. |
Corresponding Authors:
Liu Hong-Lan
E-mail: gszylhl@126.com
|
Cite this article:
Liu Hong-Lan (刘洪兰), Zhang Qiang (张强), Zhang Jun-Guo (张俊国), Hu Wen-Chao (胡文超), Guo Jun-Qin (郭俊琴), Wang Sheng (王胜) Changing characteristics and spatial differentiation of spring precipitation in Southwest China during 1961-2012 2015 Chin. Phys. B 24 029201
|
| [1] |
Liu H L, Zhang Q, Hu W C and Guo J Q 2013 Journal of Glaciology and Geocryology 35 857
|
| [2] |
Liu H L, Li D L and Guo J Y 2004 Journal of Glaciology and Geocryology 26 55
|
| [3] |
Liu Y, Zhao E X, Huang W, Sun D and Ju J H 2007 Journal of Tropical Meteorology 23 35
|
| [4] |
Li Y H, Xu H M and Liu D 2011 Acta Meteorologica Sinica 25 176
|
| [5] |
Cen S X, Gong Y F, Qin N S, Lai X, Wang X and Huang X L 2011 Acta Meteorologica Sinica 69 1009 (in Chinese)
|
| [6] |
Yang H, Song J, Yan H M and Li C Y 2012 Climatic and Environmental Research 17 315 (in Chinese)
|
| [7] |
Song J, Yang H and Li C Y 2011 Chinese Journal of Atmospheric Sciences 35 1009
|
| [8] |
Duan H X, Wang S P and Feng J Y 2010 Journal of Arid Meteorology 28 238 (in Chinese)
|
| [9] |
He J Y, Zhang M J, Wang P, Wang S J and Wang X M 2011 Acta Geographica Sinica 66 1179 (in Chinese)
|
| [10] |
Zheng J M, Zhang W C, Wan Y X and Duan X 2013 Plateau Meteorology 32 1665
|
| [11] |
Li Y H, Xu H M, Gao Y H and Li Q 2010 Acta Meteorologica Sinica 68 932 (in Chinese)
|
| [12] |
Xu H L, Li J P, Feng J and Mao J Y 2012 Acta Meteorologica Sinica 70 1276 (in Chinese)
|
| [13] |
Li Y H, Xu H M, Bai Y Y and Li Q 2010 Plateau Meteorology 29 523 (in Chinese)
|
| [14] |
Zhang W L, Zhang J Y, Fan G Z 2014 Chinese Journal of Atmospheric Sciences 38 590 (in Chinese)
|
| [15] |
Yin H and LI Y H 2013 Journal of Arid Meteorology 31 182 (in Chinese)
|
| [16] |
Dai X G, Wang P and Zhang K J 2012 Chin. Phys. B 21 119201
|
| [17] |
Wei F Y 2007 Modern Technology of Climate Statistics and Diagnose, 2nd edn. (Beijing: Meteorological Press) pp. 63, 106, 176, 239 (in Chinese)
|
| [18] |
Zhang W and Wan S Q 2008 Chin. Phys. B 17 2311
|
| [19] |
Gao X Q and Zhang W 2005 Chin. Phys. 14 2370
|
| [20] |
Zhang D Q, Feng G L and Hu J G 2008 Chin. Phys. B 17 736
|
| [21] |
Zhang Y J, Dong W J, Yu Y G and Feng J M 2004 Climatic and Environmental Research 9 342 (in Chinese)
|
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|
