T.Kubota,R.Oki,K.Furukawa,M.Kachi(JAXA),T.Iguchi(NICT),andY.N.Takayabu(Univ.Tokyo)

CurrentstatusoftheGlobalPrecipitationMeasurement(GPM)missioninJapan+GCOM-W/AMSR2&AMSR2follow-on

8th IPWG and 5th IWSSM Joint WorkshopBologna, 3-7 October, 2016

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JAXA’sRolewithinGPMProject

DevelopmentofDual-frequencyPrecipitationRadar(DPR)withNICT

LaunchofGPMCoreObservatorybyH-IIA

rocket

Developmentofalgorithms,GV,andGPMdataprocessinganddatadistributionsystemto

providetoendusers

GCOM-W1asoneofconstellationsatellites

Promotion ofGPMdatautilizationandapplicationinJapanandAsia

Since 2012

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[Summary]CurrentstatusoftheGPMmission(inJapan)

GPMCoreObservatoryandinstrumentsareworkingwell.TheGPMdataareavailablefromJAXAG-Portal(https://www.gportal.jaxa.jp)andNASA/PPSSTORM(https://storm.pps.eosdis.nasa.gov/storm/).

GPMproductsV04werereleasedtothepubliconMar.2016.DPR,GMI,DPR/GMIcombinedalgorithmswereupdated.ThefirstGPMlatentheatingproduct(onlyinTRMMregion)wasreleased.

Globalrainfallmapproduct(GSMaP)GSMaP data(algorithmversionV6)arenowavailablesinceMar.2000.GSMaP realtime product(GSMaP_NOW)wasopentothepubliconNov.2015inthedomainofGEO-Himawari (JMAmeteorogical satellite).

JapanesevalidationactivityJapanMeteorologicalAgency(JMA)raingaugenetwork,etc.

JapaneseapplicationactivityUtilizationofGPMdatainthenumericalweatherprediction(NWP)system

FuturePlanGSMaP majoralgorithmupdateswillbescheduledonDec.2016.StandardproductupdatesareplannedforDPR,GMI,DPR/GMIcombinedandlatentheatingaroundtheearly2017.TRMMV08(processedbyGPMcommonalgorithm/format)willbereleasedonlate2017.

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DPRobservationexamples(1)

aaa

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DPRobservationexamples(2)

ClimatologicaldistributionofsurfaceprecipitationamountforTRMM/PRvs.GPM/DPR

Surface precipitation distribution byTRMM/PR (Dec. 1997-Mar.2015)

Surface precipitation distribution byGPM/DPR

(Mar.2014-Aug.2016)

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DPRobservationexamples(3)

Climatologicaldistributionofsurfacesnowfall(>12dBZ)amountderivedfromtheGPM/DPR

Surface snowfall distribution byGPM/DPR

(Mar.2014-Aug.2016)

Zonal mean of surface precipitation amount

byGPM/DPR (Mar.2014-Aug.2016)

SnowfallRainfall

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Unconditional zonal mean of surface precipitation (May-July 2014)

V03B V04

àUnderestimation of V03B Ka was improved in V04.The products were more consistent in V04.

Improvement in V04 from underestimation of V03 Ka

Version4GPM/DPRproductreleasedonMar.2016

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TRMM PR V7 DPR MS V03B(Dual-Frequency product)

KuPR NS V03B

EvaluationusingJMAraingaugenetwork

Biases of TRMM/PR, GPM/KuPR, GPM/DPR products with reference to rain gauge network by Japan Meteorological Agency (JMA) over the TRMM coverage (south of 36N)Data period: Apr. to Sep. 2014Satellite overpass cases only0.5x0.5 lat/lon grid

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GPM/DPRDataAssimilationintheJMANWPsystem

a) 33-hour prediction without the DPR

b) 33-hour prediction with the DPR

c) Observation

Example of Kanto-Tohoku Heavy Rainfall in 2015Improvements in water vapor analysis accuracy over the oceanImprovements in rainfall forecast accuracy

ProvidedbyJMA

The Japan Meteorological Agency (JMA) started the DPR assimilation in the meso-NWP system on March 24 2016.Word‘s first “operational” assimilation of spaceborne radar data in the NWP system of meteorological agencies! (à See Ikuta & Kazumori poster.)

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EffectofGPM-CoreDataintheNWPsystemOkamotoetal.(2016)“ ExperimentalassimilationoftheGPM-CoreDPRreflectivityprofilesforTyphoonHalong”wasrecentlypublishedforMonthly.WeatherReview.à SeeDr.Okamoto’sposter.Assimilation and Forecast experiments using DPR&GMI data for Typhoon Halong confirmed improvement of the position errors of the tropical cyclone in their newly developed MRI/JMA system.

CTNL: No-GPM

K. Okamoto, K. Aonashi, T. Kubota, T. Tashima, 2016: Experimental assimilation of the GPM-Core DPR reflectivity profiles for Typhoon Halong, Mon. Wea. Rev., 144 (6), 2307-2326.

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[LatentHeating]ThefirstGPMlatentheatingproductwasreleasedonMarch2016ComparisonoflatentheatingproductsbetweenTRMM/PRandGPM/DPRbytheSLHalgorithm(Shigeetal.2004)duringApr.,May,Jun.2014.

[K/day]TRMM PR V7A GPM DPR V04

7km

2km

à Long-termlatentheatingobservationsusingTRMMandGPM

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GlobalSatelliteMappingofPrecipitation(GSMaP)

http://sharaku.eorc.jaxa.jp/GSMaP/

GSMaP isablendedMicrowave-IRproductandhasbeendevelopedinJapantowardtheGPMmission.“GPM-GSMaP”data(algorithmV6)werereleasedonSep.2014.

GPM-GSMaPdatasinceMar.2000periodwasreprocessedasreanalysisversion(GSMaP_RNL),andwasopentothepubliconApr.2016.

3-hourly movie from 3 to 9 November, 2013 (Typhoon Haiyan case)

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GSMaP real-timeversion(GSMaP_NOW)

Toreducelatencyfrom4-hrto“quasi-realtime”Usingdatathatisavailablewithin0.5-hour (GMI,AMSR2directreceivingdata,AMSUdirectreceivingdataandHimawari-IR)toproduceGSMaP at0.5-hrbefore(observation).Applying0.5-hourforwardextrapolation(futuredirection)bycloudmotionvectortoproduceGSMaP atcurrenthour(justnow)à “GSMaP_NOW”.

• SinceNov.2015,websiteanddata(GEO-Himawariregion)areopentothepublicfromhttp://sharaku.eorc.jaxa.jp/GSMaP_NOW/

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GSMaP comingplan:SnowfallestimationwithProf.Liu’smethod

GSMaP

GSMaP+

Liu

grey: missing values

InthecurrentGSMaP, therearenosnowfallestimates.àWe’renowtryingtointegratethesnowfallestimationmethodbyProf.Liu(FloridaStateUniversity)intotheGSMaP algorithm.Newversionproduct(Productversion:V04,AlgorithmVersion:V7)willbereleasedonDec.2016.

• Snow-Rain Separation method (Sims and Liu 2015)

• Snowfall estimation (Liu and Seo 2013)

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GCOM-WMissionSummary

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GCOM-W(Water)

“SHIZUKU”

AMSR2Sensor Advanced Microwave Scanning

Radiometer 2 (AMSR2)

Design Life 5 years

May17,2012 :LaunchJanuary25,2013 :AMSR2Level1(Brightness temperature) products

releasetothepublicMay17,2013 : AMSR2Level2(Geophysical)products

releasetothepublic(SuccessfulcompletionofInitialCal/Val)

March 26, 2015 :AMSR2Level1-3Version2release,10GHzSSTproductrelease(includedinstandardSST)

October6,2015 :All-weatherseasurfacewindspeedresearchproductrelease

August23,2016 :AMSR2Level1minorversionupdate

January,2017:AMSR2Level2&3Version3(TBD)May,2017 :Achieve5-yeardesignedmissionlife(normal

operationcompletionreview)

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StudyoftheFollow-onInstrument

BasedonAMSR2tominimizetemporalgapsbetweenAMSR2StudyingpossibilityofhigherresolutioninSST

Hardwareapproach:Additionof7GHzor10GHzchannelwithdifferentbeamangletoincreasesamplingnumberofalongtrack(alongtrackinterval:10km-->5km)Softwareapproach:Compositeofantennapatternbyusingoversamplingpixels(FOVof7Hz60km:-->20-30km)

Additionofhighfrequencychannels(160/190GHz)forsolidprecipitationcurrentlyhaslowerprioritythanabove

Currentlyweneed strongrationaleandsocietalbenefit toaddthesechannels-- anyideasfromIPWGarewelcome!

Implementingexperimentalproductiontestsforimprovementinnon-linearitymeasurementaccuracy,additionof4-pointcalibrationfunctioninorbit,downsizingreceiver,etc.

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Obtain 2 lines data during 1 scan from two beams with different angle

Along track

Beam 2Beam 1

Our ministry (MEXT) included the cost of JAXA’s research associated with AMSR2’s successor sensor in its budget.à This is an important progress!

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[Summary]CurrentstatusoftheGPMmission(inJapan)

GPMCoreObservatoryandinstrumentsareworkingwell.TheGPMdataareavailablefromJAXAG-Portal(https://www.gportal.jaxa.jp)andNASA/PPSSTORM(https://storm.pps.eosdis.nasa.gov/storm/).

GPMproductsV04werereleasedtothepubliconMar.2016.DPR,GMI,DPR/GMIcombinedalgorithmswereupdated.ThefirstGPMlatentheatingproduct(onlyinTRMMregion)wasreleased.

Globalrainfallmapproduct(GSMaP)GSMaP data(algorithmversionV6)arenowavailablesinceMar.2000.GSMaP realtime product(GSMaP_NOW)wasopentothepubliconNov.2015inthedomainofGEO-Himawari (JMAmeteorogical satellite).

JapanesevalidationactivityJapanMeteorologicalAgency(JMA)raingaugenetwork,etc.

JapaneseapplicationactivityUtilizationofGPMdatainthenumericalweatherprediction(NWP)system

FuturePlanGSMaP majoralgorithmupdateswillbescheduledonSep.2016.StandardproductupdatesareplannedforDPR,GMI,DPR/GMIcombinedandlatentheatingaroundtheearly2017.TRMMV08(processedbyGPMcommonalgorithm/format)willbereleasedonlate2017.