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Evaluation of Satellite Quantitative Precipitation Estimates (QPEs) Products In this work, we conduct a long-term assessment of the different satellite based precipitation products from the Reference Environmental Data Records (PERSIANN-CDR; GPCP; CMORPH-CDR; AMSU-A,B, Hydrologic bundle) : • PERSIANN-CDR (UC-Irvine S. Sorooshian) : 1983-Present (Daily) 0.25x0.25 deg. (60N-60S, 0-360) • CMORPH (CPC P. Xie) : 1998-Present (Daily, 3-hourly) 0.25x0.25 deg. (60N-60S, 0-360) • GPCP (UMD R. Adler) : 1979-Present (Monthly, Pentad) and 1997-Present (Daily) 2.5 deg. and 1 deg. (90N-90S, 0-360) • AMSU-A,B, Hydro-bundle (NOAA R. Ferraro) Objectives : • Evaluation of the REDRs at various temporal (annual, seasonal, daily) and spatial scales (global, land, ocean, tropics, high latitudes, high elevation). • Comparison of the different REDRs against in-situ data sets : Global Historical Climatology Network (GHCN-Daily), Global Precipitation Climatology Centre (GPCC). • Evaluation of the datasets ability to capture global precipitation patterns and extreme precipitation events (percentiles). • Provide guidelines toward a synthetized dataset. Introduction • Similar long-term daily averages and variability between products. • PERSIANN-CDR and GPCP are close while CMORPH displays lower averages. • Products are close over the ocean (GPCP used as calibration). • Seasonal differences are more pronounced and depend on location. Globally PERSIANN matches GPCP but differences exist when considering N/S Hemisphere. • Differences between products are important when looking at daily extremes (CDF). References Prat, O.P., B.R. Nelson, E. Nickl, R. Adler, R. Ferraro, S. Sorooshian, and P. Xie, 2016. Global evaluation of satellite based Quantitative Precipitation Estimates (QPEs) from the Reference Environmental Data Records (REDRs). 2016 EGU general assembly, April 17-22 2016, Vienna, Austria. Ashouri, H, K. Hsu, S. Sorooshian, D. Braithwaite, K.R. Knapp, L.D. Cecil, B.R. Nelson, and O.P. Prat, 2015. PERSIANN-CDR: Daily precipitation climate data record from multi-satellite observations for hydrological and climate studies. Bulletin of the American Meteorological Society, 96, 69-80. Acknowledgements : The first author is supported by NOAA through the Cooperative Institute for Climate and Satellites - North Carolina under Cooperative Agreement NA14NES432003. Figure 3. Cumulative distribution of daily precipitation from PERSIANN-CDR, CMORPH, and GPCP for the period 1998-2013. The ranges of daily rainfall corresponding to the 70 th , 90 th , and 99 th percentiles display large differences between the three products. At the 99 th percentile, the difference is two fold between the lowest value from GPCP (30mm/day) and the highest value from CMORPH (60mm/day). 99 th Percentile 90 th Percentile Figure 5. Global repartition of the daily rainfall corresponding to the 90 th and 99 th percentile for the three products. GPCP displays a more widespread area reaching the 90 th and 99 th percentile thresholds. Conversely, mostly areas along the ITCZ experience precipitation reaching the 99 th percentile threshold for CMORPH with few localized occurrences over land. GPCP PERSIANN CMORPH PERSIANN CMORPH GPCP Daily Max Rainy Days Figure 4. Daily maximum rainfall (left) and number of rainy days (right) for the different products. CMORPH displays the highest max daily rainfall (left) while GPCP indicates a higher number of rainy days (right). Conclusions 0 2 4 6 8 1982 1987 1992 1997 2002 2007 2012 2017 Acc (mm/day) PERSIANN CMORPH GPCP 0 2 4 6 8 1982 1987 1992 1997 2002 2007 2012 2017 Acc (mm/day) PERSIANN CMORPH GPCP 0 2 4 6 8 1982 1987 1992 1997 2002 2007 2012 2017 Acc (mm/day) PERSIANN CMORPH GPCP 0 2 4 6 8 1982 1987 1992 1997 2002 2007 2012 2017 Acc (mm/day) PERSIANN CMORPH GPCP 0 2 4 6 8 1982 1987 1992 1997 2002 2007 2012 2017 Acc (mm/day) PERSIANN CMORPH GPCP 0 2 4 6 8 1982 1987 1992 1997 2002 2007 2012 2017 Acc (mm/day) PERSIANN CMORPH GPCP 1 2 3 4 1982 1987 1992 1997 2002 2007 2012 2017 Acc (mm/day) PERSIANN CMORPH GPCP GPCC 1 2 3 4 1982 1987 1992 1997 2002 2007 2012 2017 Acc (mm/day) PERSIANN CMORPH GPCP GPCC 1 2 3 4 1982 1987 1992 1997 2002 2007 2012 2017 Acc (mm/day) PERSIANN CMORPH GPCP Figure 2. Average annual precipitation for selected areas (ocean, land, high elevation) and months (January, July) for the different satellite based products. Annual averages are compared with in-situ data from GPCC. PERSIANN GPCP GPCC CMORPH Figure 1. Average annual precipitation derived from PERSIANN-CDR, CMORPH, and GPCP for 1998-2013. Data are compared with annual rainfall from the Full Data Reanalysis Product from the Global Precipitation Climatology Centre (GPCC) at 1deg. resolution. All satellite based products and in-situ GPCC data present similar long-term daily averages.

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Page 1: Evaluation of Satellite Quantitative Precipitation ... · GPCP GPCC CMORPH Figure 1. Average annual precipitation derived from PERSIANN-CDR, CMORPH, and GPCP for 1998-2013. Data are

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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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.

PERSIANN

GPCP GPCC

CMORPH

Figure1.AverageannualprecipitationderivedfromPERSIANN-CDR,CMORPH,andGPCPfor1998-2013.DataarecomparedwithannualrainfallfromtheFullDataReanalysisProductfromtheGlobalPrecipitationClimatologyCentre(GPCC)at1deg.resolution.Allsatellitebasedproductsandin-situGPCCdatapresentsimilarlong-termdailyaverages.

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