An Update on NOAA Operational Precipitation Products and ... · Pre-Launch Evaluation of the GOES-R...

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An Update on NOAA Operational Precipitation Products and NOAA’s Contributions to the PMM Science Team Pingping Xie 1 and Ralph Ferraro 2 1 NOAA/NWS/NCEP/CPC, 2 NOAA/NESDIS/STAR College Park, MD Includes contributions by other PI’s on the NOAA PMM Science Team 24 - 27 October 2016 2016 PMM Science Team Meeting - Houston, TX 1

Transcript of An Update on NOAA Operational Precipitation Products and ... · Pre-Launch Evaluation of the GOES-R...

Page 1: An Update on NOAA Operational Precipitation Products and ... · Pre-Launch Evaluation of the GOES-R Rainfall Rate Algorithm Robert J. Kuligowski, Yaping Li, and Yan Hao ... – Support

AnUpdateonNOAAOperationalPrecipitationProductsandNOAA’sContributionstothe

PMMScienceTeam

PingpingXie1andRalphFerraro21NOAA/NWS/NCEP/CPC,2NOAA/NESDIS/STAR

CollegePark,MD

IncludescontributionsbyotherPI’sontheNOAAPMMScienceTeam

24- 27October2016 2016PMMScienceTeamMeeting- Houston,TX 1

Page 2: An Update on NOAA Operational Precipitation Products and ... · Pre-Launch Evaluation of the GOES-R Rainfall Rate Algorithm Robert J. Kuligowski, Yaping Li, and Yan Hao ... – Support

24- 27October2016 2016PMMScienceTeamMeeting- Houston,TX

Outline

• StatusofNOAASatellitesandofOperationalNOAAPrecipitationProducts

• NOAAUseofGPMdataandproducts• NOAA/NWS/OfficeofWaterPrediction• NOAAactivitiesrelatedtoPMMScienceTeam

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LEOSatellites

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ATMS

MHS

June2017

ATMSscanmotorconcerns

WealsoexploitMetOp-A,BandDMSPF-17andF-18

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GEOSatellites

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ABI,GLMNov2016– DelayduetoMatthew

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Pre-LaunchEvaluationoftheGOES-RRainfallRateAlgorithm

RobertJ.Kuligowski,YapingLi,andYanHao

• AnIR-based,MW-calibrated(includingGPM)rainratealgorithmwithlatency<4.5min

• Fillsacriticalgapforshort-fuseoperationalforecastingapplications

• RunninginrealtimeinHimawari-8dataforalgorithmevaluationpriortoGOES-Rlaunch

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NESDISStatus- GPM/GMI

• NASAPPS-->NESDISDDSdatafeedestablishedinJan20,2015• GPM/GMIDataandProductsinHDF5havebeenmadetoNOAAanditspartnerusers–

Feb2015• NWSthroughNCO• DoDthroughDAPE,includingFNMOC,NAVO,the557th WeatherWings• NESDISOperationalapplications,includingblended-hydroproducts,eTRAP,SMOPS,

etc.• TailoredGPMMcIDASproducts– Nov2015

• NESDISSAB• NWSNAWIPS,includingNHC

• TailoredGPMBUFRproducts– Jun2016• JCSDA• NCEP• EMC

• ExperimentalMiRSGPMproducts– Aug2016• Blended-HydroProductswithGPMdata– ScheduledforNov2016

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• S-NPPATMSproductsareavailableinoperation,andmadetoNOAAanditspartnerusers,includingNASAPPS

• ATMSRDRs– Jan2014• MiRSproducts– Feb2014• Blended-HydroproductswithS-NPPdata– Sept2015

• JPSS-1readinesspreparationisessentiallycompleted– Jun2017launch• TheoperationalimplementationofMiRShighresolutionproductsfrom

NOAA-18,-19,Metop-A,F17,F18hasbeenfurtherdelayed- Dec2016• MSPPSretirementisnowbeingpushedto2017duetothedelayofthe

operationalreadinessofMiRShighresolutionproducts– May2017

S-NPP/JPSS-1/ATMS

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NWSGPMProductDeploymentStatus

• NWSiscurrentlyintegratingspecificGPMproductsintoourForecasterWarningDecisionWorkstationsforuseinoperationaltropical(e.g.hurricanes)andfloodforecasting

• Specificsoftwareplug-insbuiltandarebeingoperationallyevaluatedintheAdvancedWeatherInteractiveProcessingSystem(AWIPS)

• Productscurrentlybeingevaluatedinclude36and89GHZimagery,&IMERGEarlyRainRateProducts

• IMERGLateProductstobeevaluatedforusein2017

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36HGHzontopofGOES-WinAWIPS

IMERGinAWIPS

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• Optimizationofclear-skyGMIdataassimilationintheNOAAGDAS:– AddedcapabilitytospatiallyaverageGMIobservations– MademodificationstoGMIqualitycontrol(bugfixingraupel retrieval,

additionoflatitudefilter)

• New4DEnsVar impactexperimentscompleted;forecast/analysisimpactsbeingassessed

• EffortwrappeduptoassimilateGMIinclear-skyconditions– Manuscripttobesubmittedforpeerreviewisforthcoming

• GMIupforconsiderationforinclusion(atleastassimilatedinmonitormode)innextoperationalupgrade– DependentonstatusofoperationalBUFRstreamand4Dexperimentresults

• Possibilityofall-skyGMIdataassimilationeffortbeginningatJCSDA?

GMIDataAssimilationUpdate(JCSDA)

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NWS/OfficeofWaterPrediction• OfficeofWaterPredictionwasreorganizedfrom

NationalWaterCenter(Tuscaloosa,AL)andOfficeofHydrologicDevelopment(SilverSpring,MD)inJune2016(http://water.noaa.gov/)

• ProvidesscienceandsoftwaresupportforNWShydrologicanalysisandpredictionfunctions

• OperatesNationalWaterModelincollaborationwithNCEP

• ApplicationsofPMMdata:– ExpansionofAnalysisofRecordforCalibration(AORC)– PotentiallyinNationalWaterModelforcings suite

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ApplicationofCMORPHinAORC

24hPrecipitationEnding1200UTC27Jul2011

(CPC/NLDAS2)

1hPrecipitationEnding0000UTC27Jul2011

1hPrecipitationEnding2100UTC26Jul2011

• 24-hgaugebasedtotalisdisaggregatedtohourlywith1-hradar,satellite,andgauge- basedhourlytotals;

• SimilartoNLDAS2historicandreal-time;• AORCwillcontinuetouseCMORPH,

whichinturncontainsPMMinputs1124- 27October2016 2016PMMScienceTeamMeeting- Houston,TX

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• ContributionstotheGPMGVActivitiesandProcessStudies– CharacterizationofOrographicPrecipitationDuringIPHEXandHMT-SEPS(R.Cifelli)– Developmentofagroundradar-basedsnowdatabaseforsatellitealgorithms(J.J.

Gourley)

• ContributionstotheImprovementsofGPMLevel1,2and3Products– AlgorithmEnhancementforGPMConstellationRadiometerstoSupportNOAA/NWS

Regions(R.Ferraro)– EnhancementofNOAAOperationalSnowfallRate(SFR)ProductforGPM

ConstellationSatellites(H.Meng)– Developmentof2ndgenerationpole-to-poleCMORPH(P.Xie andJoyce)– EnhancingregionalCMORPHwithgauge,radarandmodeldata(P.Xie)

• ImprovingNOAAOperationsandClimateDataRecordswithGPMData– ARainfallNowcaster BasedonMultisensor Data(R.Kuligowski)– DevelopmentandTransitionofPrecipitationClimateDataRecords(B.Nelson)– Changesinthehydrologicalcycleintheextratropics usingGPMdata(P.Groisman)

NOAAProjectsforPMM

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Ninesubtaskssubmittedasasingle,no-costtoNASA,proposal

Poster234

Poster237

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Enhancement of NOAA Operational Snowfall Rate Product for GPM Constellation Satellites

Huan Meng, Ralph Ferraro, Jun Dong, Cezar Kongoli, Limin Zhao, Banghua Yan, Nai-Yu Wang, Bradley Zavodsky

• SFR is produced from ATMS and AMSU/MHS from five satellites at near real-time

• Improvement to snowfall detection (SD) for shallow snowfall: Optimally combining a satellite-based shallow snowfall SD and a model-based SD model; the combined SD also improves thick-cloud snowfall.

• Improvement to snowfall rate: Adding liquid water effect to RTM; developing more robust initialization method for cloud properties.

• Product assessment at NWS Weather Forecast Offices (WFOs): active participation from forecasters from six WFOs; feedback indicated usefulness of SFR especially in radar void regions; issues with precip phase and performance degradation in Alaska.

Current SD

Radar Reflectivity

Combined SD

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PrecipitationCDRBrianNelsonNOAA/NCEI

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• PERSIANN– CDR(OperationalREDR2014)(UC-IrvineSorooshian)– 0.25x0.25degree(60N-60S,0-360)– Daily– 1983-present– Updatedquarterly

• AMSUCDRsforHydrologicApplications(TransitiontoOperationalFY2016)(NOAA–Ferrarro)

– 2.5degreeand1degree(90N-90S,0-360)– Monthly,Pentad,Daily– 1979-presentand1997-present

• CPCMorphing(TransitiontoOperationalFY2017)(NOAA- Xie)– 0.25x0.25degree(60N-60S,0-360)– 3-hourlyandDaily– 1998-present

• GlobalPrecipitationClimatologyProject(TransitiontoOperationalFY2016/17)(UMD– Adler)

– 2.5degreeand1degree(90N-90S,0-360)– Monthly,Pentad,Daily– 1979-presentand1997-present

• NEXRADReanalysis(TransitiontoOperationalFY2017)(NOAA– Nelson)– 1kmCONUS– 5-minute– 2002-2011

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PerformanceofGap-FillRadarforQPEinSanFranciscoBayArea

R.Cifelli NOAA/OAR/ESRL/PSD• X-bandradarinSantaClara,CA

– Feb-May2016– SupportSuperbowlduringEl

Niño– PartofNOAAElNinoRapid

ResponseCampaign(ENRR)– PrototypeforlargerBayArea

project

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RadarRainfallEvaluationComparisonofhourlyrainfallproducts:

SantaClaraX-bandradarvs.NEXRADLevel3productsvs.MRMSradar-onlyvs.raingauges

• X-Bandhashighestcorrelationandlowesterror

Page 17: An Update on NOAA Operational Precipitation Products and ... · Pre-Launch Evaluation of the GOES-R Rainfall Rate Algorithm Robert J. Kuligowski, Yaping Li, and Yan Hao ... – Support

• Features– 0.05olat/lon overtheglobepoletopole– 15-minintervalgeneratedatreducedlatency– Explicitrepresentationofsnowfallrate

• AlgorithmDevelopments– AVHRRIRTBbasedprecipitationestimatesthroughcalibrationagainstMWCOMBandCloudSat

– RefinedprecipitatingcloudmotionvectorscombiningvectorsfromCFSreanalysisandIRprecipitationestimates

– InclusionofsnowfallrateretrievalsfromNESDIS/STAR(HuanMeng)

SecondGenerationCMORPH

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SecondGenerationCMORPH

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§ Withmotionvectorsdefinedonamuchfinerresolution(0.25olat/lon),therotationalcomponentoftheprecipitationmovementsismuchbettercaptured.

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Summary

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27Octobe

• JPSS/GOES-Rsatellitespreparation/launchbasicallyonschedule--- carryingsensorsmeasuringprecipitationandrelatedvariables

• GPMproductsbeingfedofNOAAoperationaldataflows

• GPMrelatedresearch,developmentandapplicationsprogramsundergoingatNOAA(no-costproposal)

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NationalWaterModel• OperationalsinceAugust16,2016• BasedonWRF-Hydroframework• Hourlyupdatestosoil,streamflowanalyses• Hourly-to-dailyupdatesofforecasts• Antecedentprecipitationpresentlyestimatedfrom:

– MRMSradarandgauge/radaranalyses– RapidRefreshandHigh-ResolutionRapidRefreshshort-rangemodelforecasts

• NWMlong-termplansincludesatelliteprecipitationinputs

21http://water.noaa.gov/about/nwm

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• NASAPPS-->NESDISDDSdatafeedestablishedinApr6,2015• GCOM/AMSR-2DataandProductsinnetCDF4havemadeavailabletoNOAAandits

partnerusers– Dec2015• NWSCentersthroughNCO• DoDusersthroughDAPE– FNMOC,NAVO,the557th WeatherWings• NESDISOperationalapplications,includingblended-hydroproducts,eTRAP,etc.

• TailoredGCOMMcIDAS products– Nov2015• NESDISSAB• NWSNAWIPS,includingNHC

• TailoredGCOMBUFRproducts– Nov2015• JCSDA• NCEP• EMC

• Blended-HydroProductswithGCOMdata– Mar2016• Day-2products,includingsoilmoisture,snowcover,etc.– Oct2016

NESDIS- GCOM-W1/AMSR-2

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• EUEMSAT->NESDISDDSdatafeedestablished– Dec4,2014

• OperationalDecisionBriefingtoSPSRB– Oct21,2015

• M-T/SAPHIRL1BdatainBUFRwillmadeavailabletousers– Dec2015

• NCEP• EMC

• NOAAuniqueproductswithMiRS(TPWandRRonly)– Dec2015

• NRL• NESDISSAB

NESDIS- M-T/SAPHIR

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