The Whistler Radar KNMI：惠斯勒雷達(dá)KNMI.ppt_第1頁
The Whistler Radar KNMI：惠斯勒雷達(dá)KNMI.ppt_第2頁
The Whistler Radar KNMI：惠斯勒雷達(dá)KNMI.ppt_第3頁
The Whistler Radar KNMI：惠斯勒雷達(dá)KNMI.ppt_第4頁
The Whistler Radar KNMI：惠斯勒雷達(dá)KNMI.ppt_第5頁
已閱讀5頁，還剩42頁未讀， 繼續(xù)免費(fèi)閱讀

下載本文檔

版權(quán)說明：本文檔由用戶提供并上傳，收益歸屬內(nèi)容提供方，若內(nèi)容存在侵權(quán)，請進(jìn)行舉報或認(rèn)領(lǐng)

文檔簡介

radarqualitycontrolandquantitativeprecipitationestimationintercomparisonprojectstatus pauljoeenvironmentcanadacommissionofinstruments methodsandobservations cimo upperairandremotesensingtechnologies ua rst outline projectconcepttheproblemoverviewofdataqualitytechniquespre rqqiresultsstatus externalfactors segmentingthedqadjustmentalgorithms windturbinesrlan rvdilemmanoise conversionto p datacorrection zdrcalibration antpolerrors noiseprocessing orographicenhancement recursiveissues segmentingthedqprocessforquantitativeprecipitationestimation removeartifacts cleanedup3dvolume estimatingsurface 3dreflectivity estimatingsurface 3dprecipitation mosaicingspace timeestimation focusonreflectivity nowcastingclearairechoasinformation radardqisnotjustaboutqpe nowcastingnon precipitatingechoes insectsdataclassificationradardatafornwpreflectivity radialvelocityassimilationvadwinds segmentingthedqprocess removeartifacts cleanedup3dvolume estimatingsurface 3dradarmoments estimatingsurface3dprecipitation classification mosaicingspace timeestimationin3d reflectivityradialvelocitydual polarization someexamples everyradarhasclutterduetoenvironment seaclutterandducting electromagneticinterference techniques cappiisaclassictechniquetoovercomegroundclutter vvo 5o43210 linesareelevationanglesat1ospacing orangeisevery5o canadaaustralia u s chinavcp21whistlervalleyradar 3 0cappi 1 5cappi thereareavarietyofscanstrategies cappiprofiles makebetterordrop theelevationanglesbutnatureofweatherimportantforcappi 2 5o1 5o0 5o ppi s 1 5kmcappi dopplerzerovelocitynotch dopplervelocityspectrumpulsepair timedomain fft frequencydomain 2 reflectivitystatistics before after dopplerfiltering snow rain toomuchechoremoved however betterthanwithoutfiltering dataprocessingplussignalprocessingtexture fuzzylogic spectral dixon kessinger hubbert dataprocessingplussignalprocessing fuzzylogic removalofanomalouspropagation nonqcqc lipingliu cma themetricofsuccess iso range variance asanintercomparisonmetric danielmichelson smhi accumulation awinterseasonlog raingauge radardifference noblockageringsofdecreasingvalue differenceincreasesrange verticalprofileofreflectivityissmoothedasthebeamspreadsinrangeduetoearthcurvatureandbeampropagatingabovetheweather variancemetric similartobeforeexceptareaofpartialblockagecontributestolotsofscatteralgorithmsthatareabletoinfilldatashouldreducethevarianceinthescatter michelson proposedmetric alternatemetricsaccumulationofradialvelocityshouldproducethemeanwindforthesite bothlookbelievable maybedifferenceisduetodifferentdatasetlength nonqcqc modality needavarietyoftechniquesneedavarietyofscanstrategiesneedavarietyofdatasetsthatintegratetoauniformpatternneedweatherwithavarietyofartifacts pilotstudy purposeistotesttheassumptionsoftheprojectmodalityshortdatasetsforuniformitychecktheinterpretationofthemetricvarietyofscanstrategies algorithms etcevaluatefeasibility uniformfields samplecases uniformwithlocalclutter xla uniformwithpartialblocking wvy urbanclutter niagaraescarpment wkr stronganomalouspropagationecho tj2006 strongapwithweather tj2007 seaclutter sydneyau kurnell seaclutter multi pathap saudi2002 convectiveweatherwithairplanetracks oneseason tjradar2007 xla thedataaccumulatestouniformpattern widespreadsnow abaselinecase irisformatteddata 24elevationangles doppler dbzt dbzc vr spw atlowlevels rangeres 1kmor0 5km azres 1or0 5degrees wvy thedataaccumulatestouniformpatternwithanareaofblockage widespreadsnow abaselinecase irisformatteddata 24elevationangles doppler dbzt dbzc vr spw atlowlevels rangeres 1kmor0 5km azres 1or0 5degrees wkr thedataaccumulatestouniformpatternwithanareaofblockage widespreadsnow urban skyscrapers andsmallterrainclutter irisformatteddata 24elevationangles doppler dbzt dbzc vr spw atlowlevels rangeres 1kmor0 5km azres 1or0 5degrees bscanofzaccumulationwithnofiltering dopplerandcappi cappidopplernofiltering azimuth range km 0100 probabilitydensityfunctionofreflectivityasafunctionofrange rawdopplercappi whatlengthofdatasetsareneeded highlyvariablemoreuniform smoother morecontinuous thetechniques dopplernotchingcappi1 5kmcappi3 0kmmixedofdopplernotchingandcappiradarechoclassifier rec anomalouspropagationseaclutterrec cma thestatistic spreadofpdf atconstantrange forvariouscasesandtechniques status statusandacknowledgements kimata japanliu chinaseed australiamichelson swedensempere torres spainhoward usahubbert usacalhieros brazillevizzani italy ipwggaussiat uk operahubdonaldson canada dataprovidersalgorithmprovidersevaluationteamreviewers summary on goingdataproviders processorsiden

溫馨提示

  • 1. 本站所有資源如無特殊說明，都需要本地電腦安裝OFFICE2007和PDF閱讀器。圖紙軟件為CAD,CAXA,PROE,UG,SolidWorks等.壓縮文件請下載最新的WinRAR軟件解壓。
  • 2. 本站的文檔不包含任何第三方提供的附件圖紙等，如果需要附件，請聯(lián)系上傳者。文件的所有權(quán)益歸上傳用戶所有。
  • 3. 本站RAR壓縮包中若帶圖紙，網(wǎng)頁內(nèi)容里面會有圖紙預(yù)覽，若沒有圖紙預(yù)覽就沒有圖紙。
  • 4. 未經(jīng)權(quán)益所有人同意不得將文件中的內(nèi)容挪作商業(yè)或盈利用途。
  • 5. 人人文庫網(wǎng)僅提供信息存儲空間，僅對用戶上傳內(nèi)容的表現(xiàn)方式做保護(hù)處理，對用戶上傳分享的文檔內(nèi)容本身不做任何修改或編輯，并不能對任何下載內(nèi)容負(fù)責(zé)。
  • 6. 下載文件中如有侵權(quán)或不適當(dāng)內(nèi)容，請與我們聯(lián)系，我們立即糾正。
  • 7. 本站不保證下載資源的準(zhǔn)確性、安全性和完整性, 同時也不承擔(dān)用戶因使用這些下載資源對自己和他人造成任何形式的傷害或損失。

評論

0/150

提交評論