基于REOF和ESMD的降水场时空耦合分析:以山东省冬季降水为例

doi:10.16843/j.sswc.2020.06.016

Abstract
Figure/Table
References
Related Citation (0)

Download: PDF (901 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract [Background] The precipitation in winter has an important influence on soil moisture, winter crops,spring plowing and sowing. Shandong is a major agricultural province in China. However the characteristics of spatio-temporal distribution of winter precipitation in Shandong province is still unclear. The purpose of this study is to reveal the spatio-temporal distribution of winter precipitation and its relationship in Shandong province. [Methods] The data required for the paper comes from China National Meteorological Information Center, and the minimum time scale for data monitoring is 12 h. Based on the methods of both Rotated Empirical Orthogonal Function (REOF), Extreme-Point Symmetric Mode Decomposition (ESMD) and precipitation data from China National Meteorological Information Center, the spatial mode and cycle characteristics of winter precipitation field in Shandong province in recent 68 years were analyzed. [Results] 1) According to analysis of EOF reflecting the spatial variability of the whole region, the winter precipitation in Shandong province presents three main distribution modes: overall consistent, northwest-southeast antiphase and northeast-southwest antiphase. And variance contributions of three modes from EOF were 68.7%, 10.39% and 6.38% respectively. Obviously the first mode, overall consistent one of winter precipitation, was the most important distribution pattern. 2) Based on regional characteristics from REOF analyses, winter precipitation in Shandong province has formed a spatial distribution structure with the high-load areas of southeastern Shandong, northern Shandong and western Shandong respectively. The variances of the three modes were 34.17%, 30.20% and 21.10% respectively, indicating that the winter precipitation anomalies in these three regions had relatively obvious regional characteristics. The results of the period analysis based on FFT (fast Fourier transform) indicated that time coefficients (TCs) of southeast mode had the significant periodic characteristics with quasi-2.9-year and quasi-11.6-year, TCs of the north mode with quasi-2.52-year and quasi-8.29-year, TCs of the west mode with quasi-3.63-year, quasi-6.44-year and quasi-14.50-year. Meanwhile, the trend components of each mode decomposed by ESMD showed that the inter-decadal fluctuation was dominant, and there was no obvious trend of linear change, which indicated that the winter precipitation of the three modes in Shandong didn’t show a single trend characteristic during the monitoring period. Further analysis shows that the southeastern type shows a weak fluctuation and non-significant increase trend, while the northern type showed a weak fluctuation and insignificant decrease trend, while the western type shows little overall change. [Conclusions] REOF and ESMD are effective methods to analyze the spatiotemporal coupling relationship of large scale regional meteorological data. Taking winter precipitation of Shandong province as an example with the above two methods, the research results may provide reference for scientific practice for the rational planning and guidance of agricultural production in Shandong province.

Key words： rotated empirical orthogonal function extreme-point symmetric mode decomposition winter precipitation field spatio-temporal coupling relationship

Received: 28 October 2019

PACS:

P467

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	HU Gang
	SHI Xingjun
	SONG Hui

Cite this article:

HU Gang,SHI Xingjun,SONG Hui. Spatiotemporal coupling analysis of precipitation field based on REOF and ESMD: A case study on winter precipitation in Shandong province[J]. SSWC, 2020, 18(6): 132-139.

URL:

http://journal12.magtechjournal.com/Jweb_stbc/EN/10.16843/j.sswc.2020.06.016 OR http://journal12.magtechjournal.com/Jweb_stbc/EN/Y2020/V18/I6/132

[1]	蔡运龙,李双成,方修琦. 自然地理学研究前沿[J]. 地理学报, 2009, 64(11):1363. CAI Yunlong, LI Shuangcheng,FANG Xiuqi. The research forefront of physical geography[J]. Acta Geographica Sinica, 2009, 64(11):1363.
[2]	祁威,张镱锂,高俊刚,等. 1971-2009年珠穆朗玛峰地区尼泊尔境内气候变化[J]. 地理学报, 2013, 68(1):82. QI Wei,ZHANG Yili, GAO Jungang, et al. Climate change on southern slope of Mt. Qomolangma region in Nepal from 1971 to 2009[J]. Acta Geographica Sinica, 2013, 68(1):82.
[3]	EDWARD N L. Nondeterministic theories of climatic change[J]. Quaternary Research, 1976, 6(4):495.
[4]	丑纪范. 大气科学中非线性与复杂性研究的进展[J]. 中国科学院院刊, 1997(5):325. CHOU Jifan. Progress in the study of nonlinearity and complexity in atmospheric science[J].Journal of the Chinese Academy of Sciences, 1997(5):325.
[5]	JOHN D H. A rotated principal component analysis of the interannual variability of the northern hemisphere 500 mb height field[J]. Monthly Weather Review, 1981, 109(10):2080
[6]	魏凤英. 现代气候统计诊断与预测技术(第2版)[M].北京:气象出版社, 2007:120. WEI Fengying. Modern climate statistical diagnosis and prediction technology:The second edition[M]. Beijing:China Meteorological Press, 2007:120.
[7]	庞轶舒,祝从文,刘凯. 中国夏季降水异常EOF模态的时间稳定性分析[J]. 大气科学, 2014, 38(6):1137. PANG Yishu, ZHU Congwen, LIU Kai. Analysis of stability of EOF modes in summer rainfall anomalies in China[J]. Chinese Journal of Atmospheric Sciences,2014,38(6):1137.
[8]	陈少勇,郭凯忠,吴芳蓉,等. 中国南方冬季降水异常的时空分布特征分析[J]. 气候变化研究快报, 2014,3(4):165. CHEN Shaoyong, GUO Kaizhong,WU Fangrong, et al. Analysis of the spatial and temporal characteristics of the winter precipitation in southern China[J]. Climate Change Research Letters, 2014,3(4):165.
[9]	徐利岗,周宏飞,潘锋,等. 三工河流域山地-绿洲-荒漠系统降水空间变异性研究[J]. 地理学报, 2016, 71(5):731. XU Ligang,ZHOU Hongfei,PAN Feng, et al. Spatial variability of precipitation for mountain-oasis-desert system in the Sangong River Basin[J]. Acta Geographica Sinica, 2016, 71(5):731.
[10]	LI Huifeng,WANG Jinliang,LI Zongjun. Application of ESMD method to air-sea flux investigation[J]. International Journal of Geosciences, 2013, 4(5):8.
[11]	王飞,王宗敏,杨海波,等. 基于SPEI的黄河流域干旱时空格局研究[J]. 中国科学:地球科学, 2018, 48(9):1169. WANG Fei, WANG Zongmin, YANG Haibo, et al. Study of the temporal and spatial patterns of drought in the Yellow River basin based on SPEI. Science China Earth Sciences, 2018, 48(9):1169.
[12]	王金良,李宗军. 可用于气候数据分析的ESMD方法[J]. 气候变化研究快报, 2014, 3(1):1. WANG Jinliang, LI Zongjun. The ESMD method for climate data analysis[J]. Climate Change Research Letters, 2014,3(1):1.
[13]	王庆,马倩倩,夏艳玲,等. 最近50年来山东地区夏季降水的时空变化及其影响因素研究[J]. 地理科学, 2014, 34(2):220. WANG Qing, MA Qianqian,XIA Yanling, et al. Spatial-temporal variations and influential factors of summer precipitation in Shandong region during the last 50 years[J]. Scientia Geographica Sinica, 2014, 34(2):220.
[14]	胡刚,石星军,宋慧. 全球变暖背景下青岛市不同强度降水特征及趋势分析[J]. 青岛大学学报(自然科学版), 2019, 32(2):25. HU Gang,SHI Xingjun,SONG Hui. Study on the characteristics and trend of different intensity precipitation in Qingdao under the background of global[J]. Journal of Qingdao University2019,32(2):25
[15]	高留喜,刘秦玉. 山东春季降水的时空变化特征分析[J]. 高原气象, 2005, 24(5):811. GAO Liuxi, LIU Qinyu. Analysis of spatial-temporal variation of spring precipitation in Shandong province[J]. Plateau Meterology, 2005, 24(5):811.
[16]	王林,冯娟. 我国冬季降水年际变化的主模态分析[J]. 大气科学, 2011, 35(6):1105. WANG Lin, FENG Juan. Two major modes of the wintertime precipitation over China[J]. Chinese Journal of Atmospheric Sciences, 2011, 35(6):1105.
[17]	姜德娟,李志,王昆. 1961-2008年山东省极端降水事件的变化趋势分析[J]. 地理科学, 2011, 31(9):1118. JIANG Dejuan,LI Zhi, WANG Kun. Trends of extreme precipitation events over Shandong province from 1961-2008[J]. Scientia Geographica Sinica, 2011, 31(9):1118.
[18]	HUANG N E, ZHENG Shen, LONG S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proceedings of the Royal Society of London, Series A:Mathematical, Physical and Engineering Sciences, 1998, 454(1971):903
[19]	NORTH G R, BELL T L,ROBERT F C. Sampling errors in the estimation of empirical orthogonal functions[J]. Monthly Weather Review, 1982, 110(7):699.
[20]	李强, 吴健, 许正文,等. 利用EMD方法提取太阳活动周期成分[J]. 空间科学学报, 2007, 27(1):1. LI Qiang, WU Jian, XU Zhengwen, et al. Extracting of periodic components in the solar activity using EMD method[J]. Chin. J. Space Sci, 2007, 27(1):1.
[21]	于群,周发琇,汤子东,等. 冬季山东半岛局地性降水气候的形成[J]. 高原气象, 2011, 30(3):719. YU Qun, ZHOU Faxiu, TANG Zidong, et al. Formation of the local precipitation climate in Shandong Peninsola in winter[J]. Plateau Meteorology,2011,30(3):719.
[22]	张邦林,丑纪范. Lorenz系统的距平模式和标准化距平模式[J]. 兰州大学学报, 1991, 27(4):161. ZHANG Banglin,CHOU Jifan. Anomaly model and standardized anomaly model of Lorenz system[J]. Journal of Lanzhou University,1991, 27(4):161.
[23]	王庆, 刘诗军. 影响山东夏季降水的季风水汽输送特征分析[J]. 气象科学, 2006, 26(2):197. WANG Qing, LIU Shijun. The correlative analysis between moisture transport over monsoon areas and the summer rainfall in Shandong province[J]. Scientia Meterorologica Sinica, 2006, 26(2):197.