预览加载中，请您耐心等待几秒...

DZZ5新型自动气象站浅层地温数据异常分析处理.docx

预览
1/2
2/2

在线预览结束，喜欢就下载吧，查找使用更方便

下载提示 文本预览

如果您无法下载资料，请参考说明：

1、部分资料下载需要金币，请确保您的账户上有足够的金币

2、已购买过的文档，再次下载不重复扣费

3、资料包下载后请先用软件解压，在使用对应软件打开

DZZ5新型自动气象站浅层地温数据异常分析处理 Title:AnalysisandTreatmentofAnomaliesinShallowGroundTemperatureDatafromDZZ5NewAutomaticWeatherStation Abstract: Shallowgroundtemperaturedatacollectedbyautomaticweatherstationsplayacrucialroleinunderstandingandpredictingvariousweatherpatternsandclimatechange.However,thesedatacansometimessufferfromanomalies,whichcanaffecttheaccuracyandreliabilityoftheobservations.ThispaperaimstoanalyzeandaddresstheanomaliesfoundintheshallowgroundtemperaturedataobtainedfromtheDZZ5automaticweatherstation.Thestudyutilizesvariousstatisticaltechniquesanddatavisualizationmethodstoidentifyandremoveoutliers,andtoensurethequalityandintegrityofthedata. Introduction: Theavailabilityofaccurateandreliablemeteorologicaldataisfundamentalforresearchinthefieldsofmeteorology,climatescience,andenvironmentalstudies.Automaticweatherstationshavegreatlyimprovedthecollectionandmonitoringofmeteorologicalvariables,includingshallowgroundtemperature.TheDZZ5automaticweatherstationhasbeendeployedinasignificantareatorecordgroundtemperaturedata.However,ithasbeenobservedthatthecollecteddatasometimesexhibitabnormalvaluesoranomalies.Theseanomaliesneedtobeidentifiedandaddressedtoensuretheintegrityofthedatasetandimprovethequalityofsubsequentanalysis. AnomalyDetection: ToidentifyanomaliesintheshallowgroundtemperaturedatafromtheDZZ5automaticweatherstation,variousstatisticaltechniquescanbeemployed.Thesetechniquesincludecalculatingstatisticalmeasuressuchasmean,standarddeviation,andrange,aswellasemployingvisualizationmethodssuchasboxplotsandtimeseriesplots.Byanalyzingthestatisticalmeasures,outlierscanbeidentifiedandflaggedforfurtherinvestigation. OutlierRemovalandDataTreatment: Onceanomalieshavebeenidentified,itiscrucialtoremoveorcorrectthemtoensuretheaccuracyofthedata.Anoutlierremovalprocesscanbeperformedusingrobuststatisticalmethods,suchastheinterquartilerange(IQR)ortheZ-score.Outliersthatfalloutsideapredeterminedrangecanbeeitherremovedorreplacedwithestimatesderivedfromneighboringdatapoints.Itisimpor