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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
P2
JAXA’sRolewithinGPMProject
DevelopmentofDual-frequencyPrecipitationRadar(DPR)withNICT
LaunchofGPMCoreObservatorybyH-IIA
rocket
Developmentofalgorithms,GV,andGPMdataprocessinganddatadistributionsystemto
providetoendusers
GCOM-W1asoneofconstellationsatellites
Promotion ofGPMdatautilizationandapplicationinJapanandAsia
Since 2012
P3
[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.
P4
DPRobservationexamples(1)
aaa
P5
DPRobservationexamples(2)
ClimatologicaldistributionofsurfaceprecipitationamountforTRMM/PRvs.GPM/DPR
Surface precipitation distribution byTRMM/PR (Dec. 1997-Mar.2015)
Surface precipitation distribution byGPM/DPR
(Mar.2014-Aug.2016)
P6
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
P7
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
P8
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
P9
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.)
P10
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.
P11
[LatentHeating]ThefirstGPMlatentheatingproductwasreleasedonMarch2016ComparisonoflatentheatingproductsbetweenTRMM/PRandGPM/DPRbytheSLHalgorithm(Shigeetal.2004)duringApr.,May,Jun.2014.
[K/day]TRMM PR V7A GPM DPR V04
7km
2km
à Long-termlatentheatingobservationsusingTRMMandGPM
P12
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)
P13
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/
P14
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)
P15
GCOM-WMissionSummary
15
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)
P16
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.
16
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!
P17
[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.