[1]LONG Xiyu,ZHANG Xinzhu,ZHANG Xinping,et al.Analysis on the Characteristices of Circulation Evolution of Extreme Rainfall Events During the Rainy Season in Donting Lake Basin[J].Research of Soil and Water Conservation,2020,27(02):158-164,177.
Copy
Analysis on the Characteristices of Circulation Evolution of Extreme Rainfall Events During the Rainy Season in Donting Lake Basin
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
27
Number of periods:
2020 02
Page number:
158-164,177
Column:
Public date:
2020-03-30
- Title:
- Analysis on the Characteristices of Circulation Evolution of Extreme Rainfall Events During the Rainy Season in Donting Lake Basin
- Keywords:
- extreme rainfall; som-k clustering; circulation evolution
- CLC:
- P426.6
- DOI:
- -
- Abstract:
- Based on the daily precipitation data of 56 years(1961—2016)in 85 meteorological stations and daily reanalysis dataset from NCEP, a detailed analysis is performed to understand the circulation evolution characteristices of extreme rainfall events(ERT)during the rainy reason(May to September)in Dongting Lake Basin. Som-k(Self Organizing Map and kmeans)is used to cluster the ERT. Based on the foregoing work, the evolution characteristices of different regions of ERT are explored. The results show that there are many reasons for the extreme rainfall, such as the development of low tropospheric cyclonic vorticity, the enhancement of trough at 500 hPa and the enhancement of convergence zone in the southeast side of Dongting Lake Basin, and the central area of upward flow is enhanced and moves northward. Although the anomalous moisture transport channels of ERT in various regions are not consistent, the source of anomalous moisture is basically the same. The excessive anomalous moisture transported from the Bay of Bengal, the South China Sea and the Western Pacific plays an important role in producing environmental conditions favorable for ERT. The seasonal variation of the Western Pacific subtropical high pressure and the difference of synoptic condition cause the spatial variability of the main extreme rainfall rain-band together in Dongting Lake Basin: the ERT of northern region cover about 27°—30°N, which concentrate in June and July, ERT of the central region cover about 26°—27°N, which concentrate in May and June; and ERT of the south region cover about 25°—26°N, which concentrate in May and June. The extreme precipitation rain-band and the location of the anomalous moisture convergence center zone of each category region are coincident.
- References:
-
[1] Sun J Q, Ao J. Changes in precipitation and extreme precipitation in a warming environment in China[J]. Chinese Science Bulletin, 2013,58(12):1395-1401.
[2] Chen Y, Zhai P. Synoptic-scale precursors of the East Asia/Pacific teleconnection pattern responsible for persistent extreme precipitation in the Yangtze River Valley[J]. Quarterly Journal of the Royal Meteorological Society, 2015,141(689):1389-1403.
[3] Kundzewicz Z W, Hirabayashi Y, Kanae S. River Floods in the Changing Climate—Observations and Projections[J]. Water Resources Management, 2010,24(11):2633-2646.
[4] 平凡,唐细坝,高守亭,等.长江和淮河流域汛期洪涝大气环流特征的比较[J].中国科学:地球科学,2014,44(4):766-782.
[5] 方建,杜鹃,徐伟,等.气候变化对洪水灾害影响研究进展[J].地球科学进展,2014,29(9):1085-1093.
[6] 谢志清,杜银,曾燕,等.江淮流域年极端降水事件分类特征及其致洪风险[J].中国科学:地球科学,2018,48(9):1153-1168.
[7] 丁一汇.1991年江淮流域持续性特大暴雨研究[M].北京:气象出版社,1993:249-255.
[8] 丁一汇.陶诗言先生在中国暴雨发生条件和机制研究中的贡献[J].大气科学,2014,38(4):616-626.
[9] Ii M Q V, Matsumoto J. Significant Influences of Global Mean Temperature and ENSO on Extreme Rainfall in Southeast Asia[J]. Journal of Climate, 2015,28(5):1905-1919.
[10] 杜银,张耀存,谢志清.东亚副热带西风急流位置变化及其对中国东部夏季降水异常分布的影响[J].大气科学,2009,33(3):581-592.
[11] 孙凤华,张耀存,郭兰丽.中国东部夏季降水与同期东亚副热带急流年代际异常的关系[J].高原气象,2009,28(6):1308-1315.
[12] 方晓洁,曾晓枚,陈雪芹.东亚夏季200 hPa西风急流时空分布特征与我国夏季降水关系的初步分析[J].气象与环境科学,2009,32(2):11-15.
[13] 武文博,游庆龙,王岱,等.中国东部夏季极端降水事件及大气环流异常分析[J].气候与环境研究,2018,23(1):47-58.
[14] 申乐琳,何金海,周秀骥,等.近50年来中国夏季降水及水汽输送特征研究[J].气象学报,2010,68(6):918-931.
[15] 朱玲,左洪超,李强,等.夏季南亚高压的气候变化特征及其对中国东部降水的影响[J].高原气象,2010,29(3):671-679.
[16] 杨波,孙继松,毛旭,等.北京地区短时强降水过程的多尺度环流特征[J].气象学报,2016,74(6):919-934.
[17] 杨玮,徐敏,周顺武,等.江淮流域6—7月极端强降水事件时空变化及环流异常[J].高原气象,2017,36(3):718-735.
[18] 侯淑梅,盛春岩,等.山东省极端强降水天气概念模型研究[J].大气科学学报,2014,37(2):163-174.
[19] 胡光伟,毛德华,李正最,等.60年来洞庭湖区进出湖径流特征分析[J].地理科学,2014,34(1):89-96.
[20] 廖玉芳,赵辉,彭嘉栋,等.洞庭湖区旱涝灾害加剧的气象成因[J].灾害学,2016,31(01):29-32,54.
[21] 俄有浩,霍治国.长江中下游地区暴雨特征及洪涝淹没风险分析[J].生态学杂志,2016,35(4):1053-1062.
[22] 宋佳佳,薛联青,刘晓群,等.洞庭湖流域极端降水指数变化特征分析[J].水电能源科学,2012,30(9):17-19.
[23] 张剑明,廖玉芳,段丽洁,等.湖南近50年极端连续降水的气候变化趋势[J].地理研究,2012,31(6):1004-1015.
[24] 张卉,薛联青,刘远洪,等.洞庭湖流域极端降水变化特征分析[J].水资源与水工程学报,2017,28(4):6-12.
[25] Roushangar K, Alizadeh F. Identifying complexity of annual precipitation variation in Iran during 1960—2010 based on information theory and discrete wavelet transform[J]. Stochastic Environmental Research and Risk Assessment,2018,32:1205-1223.
[26] Roushangar K, Alizadeh F. Entropy-based analysis and regionalization of annual precipitation variation in Iran during 1960—2010 using ensemble empirical mode decomposition[J]. Journal of Hydroinformatics, 2018,20(2):468-485.
[27] Roushangar K, Alizadeh F. A multiscale spatio-temporal framework to regionalize annual precipitation using k-means and self-organizing map technique[J]. Journal of Mountain Science, 2018,15(7):1481-1497.
[28] Laurie A, Mathew B, Steven B, et al. Gutowski Jr. Identification of large-scale meteorological patterns associated with extreme precipitation in the US northeast[J]. Clim. Dyn., 2018,50:1819-1839.
[29] Kohonen T. Self-organized formation of topologically correct feature maps[J]. Biological Cybernetics, 1982,43(1):59-69.
[30] Hartigan J A, Wong M A. Algorithm AS 136: A K-Means Clustering Algorithm[J]. Journal of the Royal Statistical Society. Series C(Applied Statistics),1979,28(1):100-108.
[31] 王晓飞,聂生东,王远军.改进的K-均值聚类算法及其在脑组织分割中的应用[J].中国医学物理学杂志,2014,31(2):4760-4764.
[32] Koji N, Shinichi E, Kenji J, et al. Identification of typical synoptic patterns causing heavy rainfall in the rainy season in Japan by a Self-Organizing Map[J]. Atmospheric Research, 2007,83:185-200.
[33] Dzung N L, Tomohito J. Yamada, et al. Classification and forecast of heavy rainfall in northern Kyushu during Baiu season using weather pattern recognition[J]. Atmospheric Science Letters, 2017,18:324-329.
[34] Yuta T, Masaru I, Dzung N L, et al. Heavy Rainfall Duration Bias in Dynamical Downscaling and Its Related Synoptic Patterns in Summertime Asian Monsoon[J]. Journal of Applied Meteorology and Climatolog, 2018,57:1477-1496.
[35] David L D, Donald W B. A Cluster Separation Measure[J]. Ieee Transactions on Pattern Analysis and Machine Intelligence, 1979, PAMI-1(2):224-227.
[36] 黄樱,钱永甫.南亚高压与华北夏季降水的关系[J].高原气象,2003,22(6):602-607.
[37] 赵阳,徐祥德,赵天良,等.中国东部夏季暴雨极端事件与水汽输送相关流型特征[J].中国科学:地球科学,2016,46(8):1123-1140.
[38] 孙葭,章新平,黄一民,等.基于多源降水数据的洞庭湖流域夏季降水与西太平洋副热带高压的关系[J].地理科学,2016,36(7):1115-1124.
- Similar References:
Memo
-
Last Update:
2020-02-25