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Roanu台风中突然天气变化的自动气象站资料评估(英文)
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作者 Charith Madusanka WIDANAGE 王东晓 +5 位作者 周峰华 Tilak P.D.GAMAGE Shengan WANG WICKRAMAGE C.H. GEEGANA GAMAGE G.R.G. 黎大宁 《南京信息工程大学学报(自然科学版)》 CAS 2018年第3期324-333,共10页
以斯里兰卡南部5.936 108°N、80.574 900°E处的自动气象站(AWS)的气象时间序列观测数据为依据,对2015年12月至2016年10月大气边界层的变化进行了定量分析.结果表明,印度洋北部的季风、气温、气压、相对湿度、降水和向下短波... 以斯里兰卡南部5.936 108°N、80.574 900°E处的自动气象站(AWS)的气象时间序列观测数据为依据,对2015年12月至2016年10月大气边界层的变化进行了定量分析.结果表明,印度洋北部的季风、气温、气压、相对湿度、降水和向下短波辐射的扰动随着季风的逆转而变化.2016年5月台风Roanu经过时,气压降低、相对湿度增大、降水增强和向下短波辐射减小,其特征是温度、相对湿度、降水和风速均迅速增加,之后气温和降水下降,而气压、向下短波辐射在急剧减小之后又急剧增大.自动气象站记录了台风到达前的气象条件,并自2016年5月13日起各个参数开始响应台风变化.从2016年5月28日开始,自动气象站记录台风通过后的气象条件,此时降水和向下辐射均减少.这些信号说明应用自动气象站可以持续观测台风条件.这项研究表明,斯里兰卡南部地区的气象数据可以用来进行天气评估,并可以对南部沿海地区的海气关系现象进行分析.此外,自动气象站的现场数据可以用作模型验证和参数化. 展开更多
关键词 自动气象站 台风Roanu 南斯里兰卡
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Intraseasonal oscillation of the southwest monsoon over Sri Lanka and evaluation of its subseasonal forecast skill 被引量:1
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作者 L.A.D Buddika Bandurathna Lu Wang +2 位作者 Xuan Zhou Yifeng Cheng Lin Chen 《Atmospheric and Oceanic Science Letters》 CSCD 2021年第6期7-13,共7页
Sri Lanka,a small island country located near the southernmost end of the Indian subcontinent,is controlled by the southwest monsoon(SWM)during May to September,when it suffers the most accumulated rainfall in a year.... Sri Lanka,a small island country located near the southernmost end of the Indian subcontinent,is controlled by the southwest monsoon(SWM)during May to September,when it suffers the most accumulated rainfall in a year.Compared with extensive studies on the intraseasonal oscillation(ISO)of the Indian monsoon,less attention has been paid to the ISO of the SWM over Sri Lanka.Based on observational data,this study reveals that the leading mode of SWM rainfall shows a significant variability on a 10-35-day time scale,and it accounts for 66%of the fractional variance.The development of the intraseasonal rainfall anomaly is associated with a westward propagating anomalous cyclonic circulation.Furthermore,the skill of current dynamic models in simulating the SWM on the subseasonal time scale was evaluated by using the ECMWF(European center for Medium-Range Weather Forecasts)reforecast data from S2S(the Subseasonal to Seasonal Prediction project).In general,the model is more skillful in predicting the monsoonal wind index than the monsoonal rainfall index,with the skill for the former being beyond 30 days and the latter about two weeks.The forecast skills exhibit prominent interannual differences for both indices.It is suggested that a correct simulation of the large-scale circulation response to tropical convection is crucial for the subseasonal prediction of monsoonal rainfall over Sri Lanka. 展开更多
关键词 Intraseasonal oscillation Sri Lanka Southwest monsoon Subseasonal forecast
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