资源描述:
《对流涡度矢量cvv在暴雨诊断分析中的应用研究-气象学报》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库。
1、对流涡度矢量和湿涡度矢量在暴雨诊断中的应用研究*资助课题:国家自然科学基金项目(40433007),山东省气象局项目(2006sdqxz18)及国家自然科学基金项目(40775036)。第一作者简介:赵宇,主要从事中小尺度动力学和数值模拟的研究工作。E-mail:zy0817@126.com.赵宇1,2崔晓鹏1ZHAOYu1,2andCUIXiaopeng11中国科学院大气物理研究所云降水物理与强风暴实验室,北京1000292山东省气象台,济南2500311.LaboratoryofCloud-PrecipitationPhysicsan
2、dSevereStorms,InstituteofAtmosphericPhysics,ChineseAcademyofSciences,Beijing1000292.ShandongMeteorologicalObservatory,Jinan250031ZhaoYuandCuiXiaopeng.2008.Applicationofconvectiveandmoistvorticityvectorsintheanalysisofaheavyrainfallevent,ActaMeteorlogicaSinaca,AbstractTwon
3、ewvorticityvectors(convectivevorticityvector,CVV)andmoistvorticityvector,MVV))introducedbyGaoetal.(2004,2005,2007)areusedtothestudyofaheavyrainfalleventinNorthChina.TheresultshowsthatverticalcomponentsoftheCVVandtheMVVarecloselyassociatedwithcloudsandprecipitation.Analysi
4、sofdomain-averagedandmass-integratedquantitiesshowsthatthelinearcorrelationcoefficientsbetweentheverticalcomponentoftheCVV(MVV)andthesumofmixingratioofcloudhydrometeorsis0.92(0.95),andthatbetweentheverticalcomponentoftheCVV(MVV)andprecipitationrateis0.71(0.47).Cloudhydrom
5、eteorscanbefurtherbrokenintoicehydrometeorsandwaterhydrometeors.Althoughicehydrometeorsarelittle,theycontributemoretotheevolutionofclouds.Analysisoflagcorrelationsuggeststhatminimumcloudhydrometeorsleadsthemaximumprecipitationrateby4-5hour,andmaximumcloudhydrometeorslagsm
6、aximumprecipitationrateby1-2hour.Thelagcorrelationcoefficientbetweencloudhydrometeorsandprecipitationrateismainlydeterminedbytheweightedlagcorrelationcoefficientbetweenwaterhydrometeorsandsurfacerainrate,onlyonefourthofthelagcorrelationcoefficientiscontributedtobytheweigh
7、tedlagcorrelationcoefficientsbetweenicehydrometeorsandsurfacerainrate.VerticalcomponentsofCVVandMVVarewellcorrelatedwithcloudhydrometeors(inphaseorlagcorrelation)andprecipitationrateandmayrepresentthedevelopmentofcloudsandconvectivesystem.ThelocalchangeofCzandMzleadsurfac
8、erainrateby3hours,whichmaybeaprecursorforrainfallandhaspotentialsignificanceforrainfallpredictio