EvaluationofSatelliteQuantitativePrecipitationEstimates(QPEs)Products
Inthiswork,weconductalong-termassessmentofthedifferentsatellitebasedprecipitationproductsfromtheReferenceEnvironmentalDataRecords(PERSIANN-CDR;GPCP;CMORPH-CDR;AMSU-A,B,Hydrologicbundle):• PERSIANN-CDR(UC-IrvineS.Sorooshian): 1983-Present(Daily)0.25x0.25deg.(60N-60S,0-360)• CMORPH(CPCP.Xie):1998-Present(Daily,3-hourly)0.25x0.25deg.(60N-60S,0-360)• GPCP(UMDR.Adler):1979-Present(Monthly,Pentad)and1997-Present(Daily)2.5deg.and1
deg.(90N-90S,0-360)• AMSU-A,B,Hydro-bundle(NOAAR.Ferraro)
Objectives:• EvaluationoftheREDRsatvarioustemporal(annual,seasonal,daily)andspatialscales(global,
land,ocean,tropics,highlatitudes,highelevation).• ComparisonofthedifferentREDRsagainstin-situdatasets:GlobalHistoricalClimatology
Network(GHCN-Daily),GlobalPrecipitationClimatologyCentre(GPCC).• Evaluationofthedatasetsabilitytocaptureglobalprecipitationpatternsandextreme
precipitationevents(percentiles).• Provideguidelinestowardasynthetizeddataset.
Introduction
• Similarlong-termdailyaveragesandvariabilitybetweenproducts.• PERSIANN-CDRandGPCPareclosewhileCMORPHdisplaysloweraverages.• Productsarecloseovertheocean(GPCPusedascalibration).• Seasonaldifferencesaremorepronouncedanddependonlocation. GloballyPERSIANN
matchesGPCPbutdifferencesexistwhenconsideringN/SHemisphere.• Differencesbetweenproductsareimportantwhenlookingatdailyextremes(CDF).
ReferencesPrat,O.P.,B.R.Nelson,E.Nickl,R.Adler,R.Ferraro,S.Sorooshian,andP.Xie,2016.GlobalevaluationofsatellitebasedQuantitativePrecipitationEstimates(QPEs)fromtheReferenceEnvironmentalDataRecords(REDRs).2016EGUgeneralassembly,April17-222016,Vienna,Austria.Ashouri,H,K.Hsu,S.Sorooshian,D.Braithwaite,K.R.Knapp,L.D.Cecil,B.R.Nelson,andO.P.Prat,2015.PERSIANN-CDR:Dailyprecipitationclimatedatarecordfrommulti-satelliteobservationsforhydrologicalandclimatestudies.BulletinoftheAmericanMeteorologicalSociety,96,69-80.
Acknowledgements:ThefirstauthorissupportedbyNOAAthroughtheCooperativeInstituteforClimateandSatellites- NorthCarolinaunderCooperativeAgreementNA14NES432003.
Figure3.CumulativedistributionofdailyprecipitationfromPERSIANN-CDR,CMORPH,andGPCPfortheperiod1998-2013.Therangesofdailyrainfallcorrespondingtothe70th,90th,and99th percentilesdisplaylargedifferencesbetweenthethreeproducts.Atthe99th percentile,thedifferenceistwofoldbetweenthelowestvaluefromGPCP(30mm/day)andthehighestvaluefromCMORPH(60mm/day).
99th Percentile 90th Percentile
Figure5.Globalrepartitionofthedailyrainfallcorrespondingtothe90th and99th percentileforthethreeproducts.GPCPdisplaysamorewidespreadareareachingthe90th and99th percentilethresholds.Conversely,mostlyareasalongtheITCZexperienceprecipitationreachingthe99th percentilethresholdforCMORPHwithfewlocalizedoccurrencesoverland.
GPC
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PCP
Daily Max Rainy Days
Figure4.Dailymaximumrainfall(left)andnumberofrainydays(right)forthedifferentproducts.CMORPHdisplaysthehighestmaxdailyrainfall(left)whileGPCPindicatesahighernumberofrainydays(right).
Conclusions
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Figure2.Averageannualprecipitationforselectedareas(ocean,land,highelevation)andmonths(January,July)forthedifferentsatellitebasedproducts.Annualaveragesarecomparedwithin-situdatafromGPCC.
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Figure1.AverageannualprecipitationderivedfromPERSIANN-CDR,CMORPH,andGPCPfor1998-2013.DataarecomparedwithannualrainfallfromtheFullDataReanalysisProductfromtheGlobalPrecipitationClimatologyCentre(GPCC)at1deg.resolution.Allsatellitebasedproductsandin-situGPCCdatapresentsimilarlong-termdailyaverages.
