摘要
利用RClimdex软件计算1961年-2016年鲁中地区18个站点极端降水指数,结果表明:在研究时段内,降水强度有上升趋势,极端降水指数均呈现非显著性下降趋势;鲁中东部、西南部降水强度呈现减少趋势,其他区域则均呈现增加趋势;鲁中北部的强降雨日数、日最大与连续5日最大降水量超过95%、99%阈值的次数均呈增加趋势,而鲁中西部则呈现减少趋势;日最大降水量与连续5日最大降水量一般在夏秋两季,且在冬、春两季均呈现上升趋势;ENSO强度与同年的降水指数是反相关,与次年的连续降雨日数成正相关。
RClimdex was used to calculate the extreme precipitation index of 18 stations in central Shandong from 1961 to 2016.The results showed that:the precipitation intensity showed an upward trendduring the study period,while the extreme precipitation indexes showed a non-significant downward trend.The precipitation intensity showed a decreasing trend in the central and eastern part and southwest part of Shandong province,while it showed an increasing trend in other regions.The number of heavy rainfall days,daily maximum and consecutive 5-day maximum precipitation in the central and northern part of Shandong increased,while the number of precipitation over 95%and 99%thresholds decreased in the central and western part of Shandong.Daily maximum precipitation and consecutive 5-day maximum precipitation generally occurred in summer and autumn,and showed an upward trend in winter and spring.ENSO intensity was inversely correlated with the precipitation index of the same year and positively correlated with the number of consecutive rainfall days in the next year.
作者
张秀娟
李传浩
卜庆雷
张莹
Zhang Xiujuan;Li Chuanhao;Bu Qinglei;Zhang Ying(Jinan Weather Modification Center,Jinan 250102,Shandong;Jinan Weather Bureau,Jinan 250102,Shandong;Atmospheric Sciences Department,Nanjing Information Engineering College,Nanjing 210044,China)
出处
《环境科学与管理》
CAS
2022年第3期67-72,共6页
Environmental Science and Management
基金
山东省气象局预报员专项项目(SDYBY2017-13)。
关键词
RClimdex
极端降水
时空特征
ENSO
Rclimdex
extreme precipitation
temporal and spatial characteristics
ENSO