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简介:ThreesamplingcrosssectionsalongthesouthpathstartingfromtheTropicsthroughthevaporpassageintheYunnan-GuizhouPlateautothemiddle-lowreachesoftheYangtzeRiver,thenorthpathfromWestChina,viaNorthChina,toJapanunderthewesterlies,andtheplateaupathfromSouthAsiaovertheHimalayastothenorthernTibetanPlateau,aresetup,basedontheIAEA(InternationalAtomicEnergyAgency)/WMOglobalsurveynetworkandsamplingsitesontheTibetanPlateau.Thevariations,andtherelationshipwithprecipitationandtemperature,oftheδ18Oinprecipitationalongthethreecrosssectionsareanalyzedandcompared.Alongthesouthpath,theseasonaldifferencesofmeanδ18OinprecipitationaresmallatthestationslocatedintheTropics,butincreasemarkedlyfromBangkoktowardsthenorth,withtheδ18Ointherainyseasonsmallerthaninthedryseason.Theδ18Ovaluesinprecipitationfluctuateonthewhole,whichshowsthattherearedifferentvaporsources.Alongthenorthpath,theseasonaldifferencesofthemeanδ18OinprecipitationforthestationsinthewestofZhengzhouareallgreaterthanintheeastofZhengzhou.Duringthecoldhalfoftheyear,themeanδ18OinprecipitationreachesitsminimumatUrumqiwiththelowesttemperatureduetothewide,coldhighpressureoverMongolia,thenincreasesgraduallywithlongitude,andremainsatroughlythesamelevelatthestationseastwardfromZhengzhou.Duringthewarmhalfoftheyear,theδ18Ovaluesinprecipitationarelowerintheeastthaninthewest,markedlyinfluencedbythesummermonsoonoverEastAsia.Alongtheplateaupath,themeanδ18OvaluesinprecipitationintherainyseasonarecorrespondinglyhighinthesouthernpartsoftheIndiansubcontinent,andthendecreasegraduallywithlatitude.Asharpdepletionofthestableisotopiccompositionsinprecipitationtakesplaceduetotheverystrongrainoutofthestableisotopiccompositionsinvaporintheprocessofliftingoverthesouthernslopeo
简介:ThetropicalPacifichasbeguntoexperienceanewtypeofElNio,whichhasoccurredparticularlyfrequentlyduringthelastdecade,referredtoasthecentralPacific(CP)ElNio.Variouscoupledmodelswithdifferentdegreesofcomplexityhavebeenusedtomakereal-timeElNiopredictions,buthighuncertaintystillexistsintheirforecasts.ItremainsunknownastohowmuchofthisuncertaintyisspecificallyrelatedtothenewCP-typeElNioandhowmuchiscommontoboththistypeandtheconventionalEasternPacific(EP)-typeElNio.Inthisstudy,thedeterministicperformanceofanElNio–SouthernOscillation(ENSO)ensemblepredictionsystemisexaminedforthetwotypesofElNio.EnsemblehindcastsarerunforthenineEPElNioeventsandtwelveCPElNioeventsthathaveoccurredsince1950.Theresultsshowthat(1)theskillscoresfortheEPeventsaresignificantlybetterthanthosefortheCPevents,atallleadtimes;(2)thesystematicforecastbiasescomemostlyfromthepredictionoftheCPevents;and(3)thesystematicerrorischaracterizedbyanoverlywarmeasternPacificduringthespringseason,indicatingastrongerspringpredictionbarrierfortheCPElNio.Furtherimprovementstocoupledatmosphere–oceanmodelsintermsofCPElNiopredictionshouldberecognizedasakeyandhigh-prioritytaskfortheclimatepredictioncommunity.
简介:利用2013—2015年廊坊市环境监测数据及同期气象资料,采用相关分析等统计方法,分析廊坊市臭氧浓度的日变化特征、超标规律以及气象因素对其的影响。结果表明:臭氧浓度的日变化特征明显,为"1谷1峰"型,每日07:00—08:00左右达到谷值,15:00—16:00达到峰值;臭氧超标只集中出现在春季、夏季与秋季的部分月份,1—3月、11—12月不存在臭氧超标情况,超标现象日变化特征明显,主要出现在11:00—20:00。气象因素对臭氧浓度的影响很大,风向为西南风与东南风时臭氧超标率较高;臭氧超标时,地面天气类型主要为高压后部或高压底部,高空天气类型主要为脊前西北气流或平直西风环流;臭氧浓度与相对湿度呈显著负相关,与温度、日照呈显著正相关。
简介:SurfaceO3concentrationanditsprecursorshavebeenobservedatLongfengshanstation,HeilongjiangProvinceforaperiodofoneyearfromAugust13,1994toJuly30,1995.RelationshipbetweensurfaceO3andthemeteorologicalconditionsduringthisperiodisanalyzedinthisstudy.ObservationresultsshowthatdiurnalvariationofsurfaceO3followsapatternofdouble-peakswithamplitudeof27—28ppbunderfinedaysinsummerandautumn.Althoughthediurnalvariationissmall(14ppb),itisstilldetectablewhenitisovercast.DiurnalvariationofO3isirregularunderrainydays.SurfaceO3concentrationriseswhenwindspeedstartstoincreaseat0800BT(BeijingTime)from0to6ms-1inautumn,winterandsummer.RelativehighsurfaceO3concentrationisnoticedfrequentlywhenS,SSW,SWandWSWwindareencounteredatthestationduringallseasons.At0800BTand1400BTthesurfaceO3concentrationincreaseswiththeincreaseofglobalradiationaccordinglyduringfinedaysinwinter,springandautumn.DuringfinedaysaveragepeakofO3concentrationinsummeris20ppbhigherthanthatinwinterwhiletheaveragepeakofglobalradiationinsummerisalmosttwiceashighasthatinwinter.TheaveragesurfaceO3concentrationunderfinedaysinautumnatLongfengshanstationis14ppblowerincomparisontotheobservationresultsfromLin’anstationwhereLin’anisataboutthesamelongitudeandlowerlatitude,withsameenvironment,whichismainlycausedbythedifferenceofglobalradiationduetodifferentlatitudesinthesetwoareas(differenceofaveragepeakglobalradiationabout100Wm-2).
简介:AftercompositingthreerepresentativeENSOindices,ElNioeventshavebeendividedintoaneasternpattern(EP)andacentralpattern(CP).ByusingEOF,correlationandcompositeanalysis,therelationshipandpossiblemechanismsbetweenIndianOceanDipole(IOD)andtwotypesofElNiowereinvestigated.IODevents,originatingfromIndo-Pacificscaleair-seainteraction,arecomposedoftwomodes,whichareassociatedwithEPandCPElNiorespectively.TheIODmoderelatedtoEPElNioevents(namedasIOD1)isstrongestatthedepthof50to150malongtheequatorialIndianOcean.Besides,itshowsaquasi-symmetricdistribution,strongerinthesouthoftheEquator.TheIODmodeassociatedwithCPElNio(namedasIOD2)hasstrongestsignalintropicalsouthernIndianOceansurface.Intermsofmechanisms,beforeEPElNiopeaks,anomalousWalkercirculationproducesstronganomalouseasterliesinequatorialIndianOcean,resultinginupwellingintheeast,decreasingseatemperaturethere;acoupleofanomalousanticyclones(strongerinthesouth)formofftheEquatorwherewarmwateraccumulates,andthustheIOD1occurs.WhenCPElNiodevelops,anomalousWalkercirculationisweakerandshiftsitscentertothewest,thereforeanomalouseasterliesinequatorialIndianOceanislessstrong.Besides,theanticyclonesouthofSumatrastrengthens,andthesoutherlieseastofitbringcoldwaterfromhigherlatitudesandnortherlieswestofitbringwarmwaterfromlowerlatitudestothe15°to25°Szone.Meanwhile,thereexistsstrongdivergenceintheeastandconvergenceinthewestpartoftropicalsouthernIndianOcean,makingseatemperaturefallandriseseparately.Therefore,IOD2liesfarthersouth.
简介:ElNioorLaNiamanifestinDecemberoverthePacificandwillserveasanindexfortheforecastingofsubsequentIndiansummermonsoon,whichoccursfromJunetomid-September.Inthepresentarticle,anattemptismadetostudythevariationoflatentheatflux(LHF)overthenorthIndianOceanduringstrongElNioandstrongLaNiaandrelateitwithIndianmonsoonrainfall.DuringstrongElNiotheLHFintensityishigherandassociatedwithhigherwindspeedandlowercloudamount.DuringElNioallIndiarainfallishavinganinverserelationwithLHF.SeasonalrainfallishigherinYY+1(subsequentyear)thanYY(yearofoccurrence).HoweverthereisalaginrainfallduringElNioYY+1fromJunetoJulywhencomparedwiththemonthlyrainfall.
简介:根据GNIP所提供的长江流域多年月平均降水中δD、δ^18O料以及NOAA-CIRES提供的NCEP/NCAR再分析资料,研究了长江流域降水稳定同位素与降水量、水汽压、温度和水汽来源之间的关系。结果表明:在平均季节尺度下,长江流域大气降水中δ^18O降水量、水汽压和温度均存在显著的负相关关系,说明该流域降水中δ^18O化存在显著的降水量效应、湿度效应和反温度效应。基于降水中过量氘示踪水汽来源原理,分析了中国长江流域季风区降水中过量氘与阿拉伯海、孟加拉湾和南印度洋3个海区相对湿度的关系,表明中国长江流域的水汽主要来源于上述3个海区,而昆明和成都可能受到其他水汽作用,使其与水汽源区的相对湿度呈正相变化。
简介:TheoreticalstudyanddevelopmentofaduallinearpolarizationweatherradarinChinaarebrieflypresented.Alsodiscussedarethepotentialusesofthenewradarsysteminimprovingtheaccuracyofarealrainfallmeasure-mentsandanalysingthespacialstructureofstormsanddistributionofhydrometecrsincloudsbasedontheradarobservationaldatafromthefieldexperimcntsduringthesummersof1987—1989.TheresultsindicatethataC-banddualpolarizationweatherradar,afterconsideringthemicrowaveattenuationcorrection,maybeemployedtoquantitativelymeasurerainfallandtomonitorheavyrainandfloodeventsandbecomesanimpor-rantmeanstostudystormstructure.
简介:为使用高度重新分配改进导出卫星的大气的运动向量(AMV)的质量的一个方法被介绍。位于高度重新分配下面的基本原理被探索,并且技术细节被使用使用NCEP分析风的三个高度重新分配计划学习。AMV的质量通常被改进跟随重新分配,尽管改进的大小根据使用的计划不同。计划3提供最好的质量和稳定性,在计划1和计划2列在后面。在AMV的带的部件的否定偏爱减少从[5,4]ms1到<1ms1追随者重新分配。南方的部件也改善。AMV源于红外线并且水蒸汽隧道分别地在58.7%和25%改善。使用在AMV的运作的推导的计划3的可行性被合并T511中等范围的数字天气预言(NWP)预言的预报风领域学习系统。合并12-h预报在从水蒸汽隧道检索的南方的风中在带的风和积极偏爱中减少否定偏爱,改进在26.7%的AMV的全面质量。线性地扩大预报领域的有效性时期在检索AMV减少改进,但是这减小的大小是小的。合并120-h预报地仍然导致13%改进,尽管它可以消除好质量的很多AMV。
简介:利用空气质量模式系统RAMS-CMAQ模拟分析了2008年8月北京及周边地区近地面O3浓度的时空变化。分析结果表明,模式系统可以较好地模拟污染物以及气象要素的变化特征和区域分布情况;奥运会期间的污染控制对O3浓度的降低有明显的作用,但是在一些有利的气象条件下,O3易达到较高浓度:8月2日、24日14时(北京时间)左右O3浓度都在0.22mg.m^-3以上,其中2日北京地区处于辐合的弱风场中,风速为1.5~2.5m.s^-1,24日则是处于自南向北的有输送作用的风场中,风速为3.5~6.5m.s^-1;污染控制对北京周边地区的效果要好于北京市区。