设为首页
加入收藏
Low Frequency Oscillations of Southern Hemispheric Critical Systems and Precipitation During Flood Season in South China
-
摘要: 利用1960—2008年华南地区71个站逐日降水量和NCEP/NCAR南半球逐日海平面气压 (SLP) 场再分析资料，采用多锥度方法-奇异值分解 (MTM-SVD) 统计诊断方法，重点分析了华南地区4—9月汛期降水及同期南半球关键系统低频演变特征。MTM-SVD的LFV谱分析表明：华南汛期降水具有30~60 d低频振荡和5~7 d的变化特征；南半球澳大利亚高压系统具有30~60 d低频振荡、10~20 d双周振荡及5~7 d和2~3 d的变化特征；马斯克林高压系统则具有30~90 d低频振荡和双周振荡特征; 跟踪华南汛期降水与南半球SLP场的30~60 d低频振荡的时空耦合演变过程显示，南半球马斯克林高压和澳大利亚高压系统由强 (弱) 到弱 (强) 的演变过程对应华南降水的多雨带由西南 (东北) 向东北 (西南) 的转移。华南南部多雨带的变化与马斯克林高压和澳大利亚高压变化趋势及位相一致，而北部多雨带则和马斯克林高压和澳大利亚高压SLP场的变化趋势相反。Abstract: By using daily precipitation data over South China and the NCEP/NCAR daily mean reanalysis data of SLP in Southern Hemisphere during 1960—2008, the low frequency oscillations of Southern Hemispheric critical systems and precipitation during raining seasons in South China are investigated by means of statistical method, for example, MTM-SVD, and so on. The LFV spectrum results show a 30—60 days low frequency oscillation and variation of 5—7 days for the precipitation during raining seasons in South China. Australian high in Southern Hemisphere can also be decomposed into 30—60 days low frequency oscillations, 10—20 days bi-weekly oscillations and variations of 5—7 days and 2—3 days. Mascarene high has 30—90 days low frequency oscillations and characteristics of bi-weekly oscillations. The MTM-SVD method can identify coupled spatial and temporal evolving signal by using both phase and amplitude information. Tracking the spatial and temporal coupling evolution of low-frequency oscillation with 30—60 days, it is found that the Mascarene and Australian high from strong to weak is corresponding to the rainy zone transfer from southwest to northeast in South China, and vice versa. South rain belt of precipitation in South China coincides with the variations and phase of the Mascarene and Australian high very well, but North rain belt is opposite with the Mascarene and Australian high. When the SLP of Mascarene and Australian high are positive from the usual, southern rain belt in South China is usually strong and northern rain belt tends to by weak, and vice versa.
-
图 2 华南汛期降水序列 (a)、澳大利亚高压强度 (b) 和马斯克林高压强度 (c) 小波变换
Fig. 2 Wavelet transform of precipitation during raining season in South China (a) with SLP of the Australian high (b) and the Mascarene high (c)
图 3 华南汛期降水 (a)、澳大利亚高压 (b) 和马斯克林高压 (c) 的LFV谱
(虚线分别代表 0.01, 0.05, 0.10和0.50显著性水平)
Fig. 3 The LFV spectrum of precipitation during raining season in South China (a) with SLP of the Australian high (b) and the Mascarene high (c)
(dashed lines represent the 0.01, 0.05, 0.10, 0.50 significant levels)
图 4 南半球SLP场和华南地区汛期降水45 d时间尺度耦合空间重建
Fig. 4 Spatial reconstruction of the joint SLP of the Southern Hemisphere and precipitation during raining season in South China at 45-day timescale
-
[1] 鹿世瑾.华南气候.北京:气象出版社, 1990. [2] 吴尚森, 梁建茵.华南前汛期旱涝时空分布特征.热带气象, 1992, 8(1):87-92. http://www.cnki.com.cn/Article/CJFDTOTAL-RDQX199201010.htm [3] 吴尚森, 黄成昌, 薛惠娴.华南后汛期降水的年际变化.热带气象, 1990, 6(4):348-356. http://www.cnki.com.cn/Article/CJFDTOTAL-DLKX201701020.htm [4] 陈庭烈.青藏高原冬春季异常雪盖与江南前汛期降水关系的检验和应用.应用气象学报, 1998, 8(增刊):1-8. http://kns.cnki.net/kns/detail/detail.aspx?QueryID=3&CurRec=1&recid=&FileName=YYQX8S1.000&DbName=CJFD9899&DbCode=CJFQ&yx=&pr= [5] 马慧, 王谦谦, 陈桢华.华南前汛期降水异常的时空分布特征.高原气象, 2006, 25(2):325-329. http://www.cnki.com.cn/Article/CJFDTOTAL-HNKX201210028.htm [6] 何有海, 关翠华, 林锡贵.华南后汛期降雨量的振动和分布.热带气象学报, 1998, 14(4):359-363. http://www.cnki.com.cn/Article/CJFDTOTAL-RDQX804.009.htm [7] 蔡学湛.青藏高原雪盖与东亚季风异常对华南前汛期降水的影响.应用气象学报, 2001, 12(3):358-366. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20010347&flag=1 [8] 邓立平, 王谦谦.华南前汛期 (4—6) 月降水异常特征及其与我国近海海温的关系.热带气象学报, 2002, 18(1):45-55. http://www.cnki.com.cn/Article/CJFDTOTAL-RDQX200201005.htm [9] 丁伟钰, 梁经萍.南海地区OLR变化与华南汛期降水的联系.热带气象学报, 2002, 18(3):276-282. http://www.cnki.com.cn/Article/CJFDTOTAL-RDQX200203010.htm [10] 蔡学湛, 王岩, 许金镜.热带对流活动异常对华南前汛期旱涝影响的诊断分析.热带气象学报, 2002, 18(2):157-164. http://www.cnki.com.cn/Article/CJFDTOTAL-RDQX200202007.htm [11] 鲍媛媛, 金荣花, 琚建华, 等. 2005年初夏亚洲季风异常及对华南强降雨影响.应用气象学报, 2009, 20(3):276-285. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20090303&flag=1 [12] 谢炯光, 纪忠萍, 谷德军, 等.广东省前汛期连续暴雨的气候背景及中期环流特征.应用气象学报, 2006, 17(3):354-362. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20060361&flag=1 [13] 曾琮, 胡斯团, 粱建茵, 等.东亚冬季风异常与广东前汛期旱涝关系的初步分析.应用气象学报, 2005, 15(5):645-654. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20050583&flag=1 [14] 张婷, 魏凤英.华南地区汛期极端降水的概率分布特征.气象学报, 2009, 67(3):442-451. doi: 10.11676/qxxb2009.044 [15] 薛峰, 林一骅, 曾庆存.论大气环流的季节气候平均情况.大气科学, 2002, 26(3):308-314. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXK200203001.htm [16] 何敏, 孙林海, 艾婉秀.南半球环流异常与我国夏季旱涝分布关系及其影响机制.应用气象学报, 2006, 17(4): 394-402. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20060468&flag=1 [17] 薛峰, 王会军, 何金海.马斯克林高压与澳大利亚高压的年际变化及其对东亚夏季风降水的影响.科学通报, 2003, 48(3):287-291. http://www.cnki.com.cn/Article/CJFDTOTAL-KXTB200303017.htm [18] 韩雪.气候信号检测新方法在长江中下游降水异常变化分析中的应用.北京:中国气象科学研究院, 2006. [19] 崔锦秦, 程正兴, 译. 小波分析导论. 西安: 西安交通大学出版社, 1994. [20] 秦前清, 杨宗凯.实用小波分析.西安:西安电子科技大学出版社, 1994. [21] Mann M E, Park J. Global-scale modes of surface temperature variability on interannual to century timescales. J Geophys Res, 1994, 99: 25819-25833. doi: 10.1029/94JD02396 [22] Mann M E, Park J. Joint spatio-temporal modes of surface temperature and sea level pressure variability in the Northern Hemisphere during the last century. J Climate, 1996, 9: 2137-2162. doi: 10.1175/1520-0442(1996)009<2137:JSMOST>2.0.CO;2 [23] Mann M E, Park J. Oscillatory spatiotemporal signal detection in climate studies: A multiple-taper spectral domain approach. Adv Geophys, 1999, 41: 1-131. doi: 10.1016/S0065-2687(08)60026-6 [24] Thomson D J. Spectrum estimation and harmonic analysis. IEEE Proc, 1982, 70: 1055-1160. doi: 10.1109/PROC.1982.12433 [25] Efron B. The Jackknife, the Bootstrap and Other Resampling Plans. Society for Applied and Industrial Mathematics, Philadelphia, 1990: 1-92. [26] Rajagopalan B, Mann M E, Lall U. A multivariate frequency-domain approach to long-lead climatic forecasting. Wea Forecasting, 1998, 13: 58-74. doi: 10.1175/1520-0434(1998)013<0058:AMFDAT>2.0.CO;2 [27] 魏凤英.现代气候统计诊断与预测技术 (第二版).北京:气象出版社, 2007:191-204. [28] Han Xue, Wei Fengying, Yves M Tourre. Spatio-temporal variability of Northern Hemipheric sea level pressure (SLP) and precipitation over the mid-to-low reaches of the Yangtze River. Adv Atmos Sci, 2008, 25(3): 458-466. doi: 10.1007/s00376-008-0458-x -
下载:
图(5)
计量
- 摘要浏览量: 3216
- HTML全文浏览量: 917
- PDF下载量: 1164
- 被引次数: 0
