A Statistical Bias Correction Tool for GeneratingClimate Change Scenarios in Indonesia based onCMIP5 Datasets一种统计偏差校正工具 基于印度尼西亚地气候变化情景 CMIP5数据集.pdf

《A Statistical Bias Correction Tool for GeneratingClimate Change Scenarios in Indonesia based onCMIP5 Datasets一种统计偏差校正工具 基于印度尼西亚地气候变化情景 CMIP5数据集.pdf》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、IOPConferenceSeries:EarthandEnvironmentalSciencePAPER•OPENACCESSRelatedcontent-RegionalAnalysisofProneDroughtAreasAStatisticalBiasCorrectionToolforGeneratingunderFutureClimateChangeScenarios:CaseStudyAgropolitanofMalangDistrictClimateChangeScenariosinIndonesiabasedonPerdinan,RFAdiandEYAriniC

2、MIP5Datasets-Howistheimpactofclimatechangeonriverflowregimesrelatedtotheimpactonmeanannualrunoff?Aglobal-scaleanalysisTocitethisarticle:AFaqih2017IOPConf.Ser.:EarthEnviron.Sci.58012051PetraDöllandHannesMüllerSchmied-ImprovedregionalclimatemodellingthroughdynamicaldownscalingStuartCorney,Jack

3、Katzfey,JohnMcGregoretal.Viewthearticleonlineforupdatesandenhancements.ThiscontentwasdownloadedfromIPaddress117.165.40.53on05/09/2018at04:27ISSIOPPublishingIOPConf.Series:EarthandEnvironmentalScience58(2017)012051doi:10.1088/1755-1315/58/1/012051InternationalConferenceonRecentTrendsinPhysics

4、2016(ICRTP2016)IOPPublishingJournalofPhysics:ConferenceSeries755(2016)011001doi:10.1088/1742-6596/755/1/011001AStatisticalBiasCorrectionToolforGeneratingClimateChangeScenariosinIndonesiabasedonCMIP5DatasetsAFaqihDepartmentofGeophysicsandMeteorology,FacultyofMathematicsandNaturalSciences,Bogo

5、rAgriculturalUniversity(IPB).IPBDramagaCampus,FMIPABuilding,Wing19,Level4,Jl.RayaDramaga,JawaBarat,Indonesia16680.Phone/Fax:+62-251-8623850.Email:akhmadfa@apps.ipb.ac.idAbstract.Providinginformationregardingfutureclimatescenariosisveryimportantinclimatechangestudy.Theclimatescenariocanbeused

6、asbasicinformationtosupportadaptationandmitigationstudies.Inordertodeliverfutureclimatescenariosoverspecificregion,baselineandprojectiondatafromtheoutputsofglobalclimatemodels(GCM)isneeded.However,duetoitscoarseresolution,thedatahavetobedownscaledandbiascorrectedinordertogetscenariodatawithb

7、etterspatialresolutionthatmatchthecharacteristicsoftheobserveddata.Generatingthisdownscaleddataismostlydifficultforscientistwhodonothavespecificbackground,experienceandskillindealingwiththecomplexdatafromtheGCMoutputs.Inthisregards,itisnecessarytod