GEWEX DATA ANALYSIS PANEL An overview Report for SSG-30
RémyRoca(CNRS) and TristanL’Ecuyer(UW-AOS)[email protected] [email protected]
A New GDAP Vision Anintegratedapproachtoenergy-water-massconsistencybasedonrefineduncertaintycharacteriza8on
Sealevel
Gravimetry
Precipita8on
Radia8on
CloudSurfaceFlux
Consistencyasawayoflife
A mission
RunCorebuissness• SponsorproducGonandanalysisofdatasetfromsatellite(e.g.,ISCCP,GPCP)• Sponsorassessmentofdatasettoimproveuncertaintyes8ma8onfordatarecords• Sponsorgroundbasednetwork(e.g.,BSRN,GPCC)
ActasaninterfacebetweentheGEWEXac8vi8esandthedata• PROES,GAP,GASS…,Concept-Heat,conference2018organisa8on
RepresentGEWEXatvariousWCRPmee8ngs,WMOandotherrequests
• FromtoassessadequacyofobservingsystemtodataprizetoDOI…..
The GDAP acDviDes porEolio and who’s doing what PanelmembersRémyRoca,chairTristanL’Ecuyer,vice-chairWouterDorigoAndrewHeidingerSeijiKatoChris8anKummerowHirohikoMasunagaIsabelTrigoClaudiaStubenrauchTianjunZhou
GrounddatanetworkWouterDorigo ISMNA.BeckerandUdoSchneider(DWD) GPCCChuckLong(NOAA) BSRNJimMather(ARM) ARM
«GEWEX»datasetsproducGonPaulStackhouse SurfaceRadia8onBudgetBobAdler GlobalPrecipita8onClimatologyProject(GPCP)StefanKinne GlobalAerosolClimatologyProject(GACP)CarlosJimenez LandFluxCarollAnnClayson SeafluxBillRossowandNOAANCEI ISCCPPBrownandCKummerow GEWEXMergedandIntegratedProduct
«GEWEX»AssessmentsClaudiaStubenrauch(CNRS)CloudsMarcSchröder(DWD) WaterVaporJeffreyReid(NRL) AerosolsHirohikoMasunaga Precipita8on
InvitedmembersGraemeStephensSSGChairSoniaSeneviratneSSGChairPetervanOevelenIGPOWilliamRossowFounder
GEWEXPROESClaudiaStubenrauch(CNRS)UTCCSueVanDenHeever(CSU)GAP
2toberenewed2moreneeded
GDAP in GEWEX and WCRP • Tristanpar8cipatedinGAP
• RémyattheWCRP/WorldDataAdvisoryCouncilmee8ng,inMarchinFrasca8,Italy(reportherehfps://www.wcrp-climate.org/wdac-ac8vi8es/163-unifying-themes/working-groups-wdac/wdac-ac8vi8es/wdac-6/1084-wdac-6)
• GaveanoverviewofGDAPac8vity• FindoutaboutTIRAandthesurfacefluxTT• TIRA,Obs4mip,GCOS/IP,RRR,CEOS/CGMSWGClimate,CEOS/CGMSIPWG
• TrytopromoteGDAPneedstoTIRA(firstmee8ngsetupandcancelled,rescheduledlastweekbutIfailedtojointhewebconference)• WDAChaspublished«BestPra8cesforAssessment»(!)
• Ac8on:InviteSOLASrepresenta8veatGDAPmee8ng.Ididbuttheinviteecouldnotmakeit
• DATAPrize:itispossibletonominatefolksforaprize(notonlyyoungnotonlyscien8sts)
• Requestforlefersinsupportofproposals• No!
• DiscussiononThursdaymorning
• RequesttoreportGDAPac8vityat2017IRSconferenceinSouthAfrica• No8me!• Requesttocontributetothenext2020IRSconferencesessionselabora8on
• TandRareco-organizersofConcept-Heatmee8nginOctober2017
The 2017 GDAP meeDng, Boulder, CO, USA
JointwithCONCEPT-HEATmee8ngHostedbyK.ThrenberthatNCARfacility.VeryniceseongandlocalsupportfromKevin!2daysofverybusymee8ngHalfadayofGDAPcentereddiscussionwithonlythepanelmembersAllusualac8vity+newpresenta8ons(LST;OHCfromAlimetry-GRACE;TWS)NextmeeGnginlateNov2018inPortugalhostedbyIsabelTrigo
Outline of the presentaDon
• Endorseddataproducts• Ground-basednetworks• Assessments• Newitemsandothers..
ENDORSED DATA PRODUCTS 1. Cloud(ISCCP)2. Precipita8on(GPCP)3. Surfaceturbulentflux(Seaflux)4. Radia8on(surf+toa)(SRB)5. Aerosols6. Landflux7. IntegratedProduct8. Soilmoisture
Allteamsareinvolvedinproducing,validaGngandimprovingtheirproducts
normally produced ~ 3 months after observation time
[although produced using different data sets and algorithms, products are integrated,i.e. they add up]
GPCPGlobalPrecipita8onProductsVersion2.3
NASA,NOAA,DWD,UMD,GMU,others
•Monthly,2.5°MergedAnalysis(1979-present) Adleretal.(2003),J.Hydromet.
Huffmanetal.(2009)GRL
•Pentad,2.5°MergedAnalysis(1979-present) Xieetal.(2003)J.Climate
•Daily,1°MergedAnalysis(1997-present) Huffmanetal.(2001)J.Hydromet.
GlobalPrecipita8on(1979-2016)
Land+Ocean
Land
Ocean
UpdatedfromAdleretal.(2017)Rev.Geophys.
Timeseriesoftropicalprecipita8on(25oN-25oS)
Issues/Plans
• Version3behindscheduleandfullcomple8onisatriskduetofundingques8ons
• Produc8onofV2.3willcon8nue,althoughsomedifficul8esintermsoftransfertoNOAAandconcernaboutaddressinganyproblemsthatmightcomeup.
• Expectproduc8onofbothGPCPVersionsbetween2-5yearsasuserscompareandfindissuesthatneedafen8on.
• Con8nuedproduc8onofV3hopefullysupportedbyNOAAand/orNASA
CarolAnneClayson,WHOIWithBrentRoberts,MSFCAndJeremiahBrown,PrincipalScien8ficCompu8ng6thGDAPMee8ng
11October2017Boulder,CO
UpdateonSeaFlux
SeaFlux • Interna8onalprojectundertheauspicesoftheGEWEXDataandAssessmentsPanel:toimproveourunderstandinganddeterminaNonofoceansurfaceturbulentfluxes
• Ourmainques8ons:• Whatisfeasibleintermsofresolu8onandlength-of-8meseriesforsatellitedata?• Canweproduceahighresolu8ondatasetusingsatellitesthatisbeferthanconven8onalclimatologyandNWPproducts?
• Whatarethebestmethodsforcrea8ngthisdataset?• Howdothedifferentdatasetsperformundervaryingapplica8ons?
• Elementsoftheprojectinclude:• Evalua8onofglobalfluxproducts• Providinglibraryoffluxdatasetsandinsitudatasetsforeasycomparisonsbyresearchers
• Produc8onofahigh-resolu8on(1o,3hourly)turbulentfluxdataset
SeaFlux CDR version 2 ¨ Near-surfaceairtemperature,humidity,
andwinds¤ BasedonRobertsetal.(2010)neuralnettechnique
n CLWcontentusedtoremoverain-contamina8on(exceptforF08)
n F10–F18,pixelssegregatedbyclear/cloudyskyn OneneuralnetforF08,twoforallothers(total)
¤ SSM/IandSSMISfromCSUFCDR¨ SST
¤ Pre-dawnbasedonReynoldsOISST¤ Diurnalcorrec8on¤ UsesSRB,CERES,FLASHFluxforradia8on,HOAPS,
GPCPandnowMERRAforprecipita8on¨ LandmaskfromNOAAGSHHG,icemask
fromAVHRRicefrac8on,ISCCPiceshelf¨ UsesneuralnetversionofCOARE¨ Gap-fillingmethodology--useofMERRA2
variability–3hour
¨ Availablefrom1988throughmid-2017
1999LatentHeatFlux
1999SensibleHeatFlux
Under WCRP Data Advisory Council (WDAC)
• Discussionofneedforcoordina8onandhighligh8ngsurfacefluxissues• Land,ocean,ice• Biogeochemical,heat,moisture,momentum• Turbulent,radia8ve• Insitu,remote
• “promoteastrongerdialogueandprofileoffluxeffortsacrossWCRPandwithsisterprogrammes“
• FormedSurfaceFluxTaskTeam(C.A.Clayson/BrianWard,chairs)• CutsacrossGEWEX,CLIVAR,otherWCRPgroups• Members:
• CarlosJimenez(ObservatoiredeParis,land,satellite,obs;• JimEdson(U.Conn,ocean,obs);• Pierre-PhilippeMathieu(ESRIN,satellite);• PeterGleckler(LLNL,modeling);• RonaldBussdeSouza(Na8onalIns8tuteforSpaceResearch,Brazil,ocean,obs)• PaulStackhouse(NASALangley,radia8vefluxes,satellite,scien8stextraordinaire);• HansPeterSchmid(KarlsruheInst.Tech.,biosphere,obs);• AntonBeljaars(ECMWF,land,modeling);• SaigusaNobuko(Japan,Na8onalInst.forEnv.Studies,land,obs);• PetraHeil(UniversityofTasmania,seaice,obs,remotesensing,modeling);
19
LandFlux: data producDon – V1
• V1:1984-2007 3-hourly global runs of latent heat flux from GLEAM, PT-JPL, PM-MOD with “GEWEX-like” forcings (mainly SRB), publicy available from the LandFlux website.
https://hydrology.kaust.edu.sa/Pages/GEWEX_Landflux.aspx
20
LandFlux: data producDon - V2?
• Past lines of funding (ESA WACMOS-ET, NASA NEWS, KAUST …) are terminated and we do not foresee any new opportunities to fund these activities.
• Model used for LandFlux have been updated by their respective developers and run further in time, so their individual global runs are likely to be more demanded than the LandFlux products.
• Possibly the only justification for a V2 LandFLux product would be in the framework of a GEWEX integrated product, where some common forcings (e.g. SRB radiation) will allow a more consistent multi-product analysis. In that case, we may find the man power to re-run the LandFlux models with the new forcings.
• The sensible heat fluxes are still pending ….
GEWEX Data and Assessments"Panel Meeting"Boulder, CO"
10-12 October, 2017""
The GEWEX Surface RadiaDon Budget Project: Release 4 Integrated Product
Progress and Plans
PaulW.Stackhouse,Jr.–NASALaRCStephenJ.Cox,J.ColleenMikovitz,TaipingZhang–SSAI
SRB Release 3 Data Products (SpaDal ResoluDon: 1o x 1o; 7/83 – 12/07)
Data Types Model Name Temporal Resolution Parameters
SW
GEWEX SW (Pinker/Laszlo)
(v3.0)
3-hourly, Monthly Averaged 3-hourly, Daily and Monthly Averaged
(UTC and local sun time)
All-sky: Surface down, up, PAR down; TOA Down, Up
Clear-Sky: Surface Down, Up; TOA Up
LPSA (Staylor/ Gupta) (v3.0) Daily, Monthly
All-sky: Surface Down, Net, and Albedo
Clear-sky: Surface Down
LW
GEWEX LW (Fu/Liou/
Stackhouse) (v3.1)
3-hourly, Monthly Averaged 3-hourly, Daily and Monthly Averaged
All-sky and clear-sky: TOA up; Surface Up and Down
LPLA (Gupta) (v3.0)
3-hourly, Monthly Averaged 3-hourly, Daily and Monthly Averaged
All-sky Surface Downward, Net; Cloud Radiative Forcing
Input Property
CLDPROPS 3-Hourly
Surface emissivity, skin temperature, atmospheric
profile; cloud phase, fraction, optical depth and LWC
Note: The LPSA and LPLA algorithms are also used in CERES Surface-Only"11Oct2017
22GDAP2017
SRB Rel 4 versions, global fluxes: 2007
1Dec2016 GDAP2016 23
Rel3.0 Rel4baseline(OLDalgorithm,NEWinputs–HXSBeta1)
Rel4gamma(NEWalgorithm,OLDinputs-DX)
Rel4iota(NEWalgorithm,NEWinputs-HXSBeta1)
Rel4nu(NEWalgorithm,NEWinputs–HXSV01)
Surfacedown 186.1 186.1 182.3 184.3 184.8
Surfacedowndiffuse 104.1 105.8 95.0 96.2 100.1
TOAUp 104.4 104.2 103.1 100.4 100.5
Clearsurfacedown 247.6 246.8 240.5 239.9 239.9
Pris8nesurfacedown 258.5 258.5 252.8 252.1 252.2
Surfacealbedo 0.131 0.132 0.137 0.126
Surfacenet 163.5 163.7 158.7 161.9
CloudRadia8veEffect -61.5 -60.7 -58.2 -55.6 -55.1
24
GEWEX SRB: Summary Status
• GEWEXSRBRel4-IP:• NewinputsfromISCCPnnHIRSandHXSv1obtained(inSeptember)wereprocessedat1ox1o
• versionsdeliveredforSRBRel4-IPBeta
• AnalysisshowsimprovedSWfluxesrela8vetoBSRNandoceanbuoymeasurementsandalsonewinputsandalgorithmsrela8ve
• Oceanfluxesreduced;landfluxesincreased• TOAreflectancereduced
• AnalysisshowsLWs8llnotimproved• HXScloudrenderingtes8ng/assessmentongoing;homogeniza8onwithnewmicrophysics
• Assesslandsurfacetemperatures• Oceanfluxesappearedbiasedcomparedtooceanbuoys
11Oct2017 GDAP2017
GEWEX SRB: Next Steps • Willre-accessassump8onsregarding=>cloudmergingandgridding(1-2months)
• CompareandhomogenizewithHGG• Reprocess2005-2009withrevisedcalibra8ontablesandcloudproper8es
• Willbeassessingchangestocloudproper8es• ComparetoCERES,BSRNandassess• Produc8on8merequiredfor1x1:10yearspermonth
• Redeliverat1x18meperiodsneeded;consideringnotreprocessing30yearsat1x1=>2000-2009
• Progressofconversionto½ox½onearlycompleted• Usingfullequalareasamplinganddataproduc8ongrid• Willprovidedataprovidesatthe½ox½oequalangle• Tes8ngaspectsonCloudbasedsystem
11Oct2017 GDAP2017 25
MACv2fromsunphotometrytoaerosolcomponentdistribuGons
spaGalcontextbyglobalModeling:AeroCom
Aerosols(StephanKinne)
what updates ?
• monthlyAODvariability(ratherthanonevalue)withimpactontheAODfine-sizefrac8on
• basedon6hrsdatafromICAPensembleassimila8ons(bysevengroups)over2years
• mergingfine-moderadius(asofAngstrom)• AngstromisinaccurateatlowAODvalues• moreexactfine-moderadiuspermitsbeferes8matesforassociatedCCNàforaerosoloncloudimpactsimula8ons
Aerosols(StephanKinne)
• Testperiod:1Jan2007–31Dec2007• 1°,3-hourlyequal-areagrid• ISCCPClouds,MACV2.0Aerosols,SRBRadia8on(TOA&Sfc)
• Land/SeaFluxforSensibleandLatentheatflux,• GPCPPrecipita8on• ERA-InterimforWaterVaportransport,CAPE,dynamicalcontext
The “Integrated Product”
An example from integrated products from P Brown and C Kummerow (CSU) E −P =∇⋅Q
A Water Budget Closure Test over tropical oceans
−200
−100
0
100
200
300
Ave
rage
(mm
.mon
th−1
)
1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 200827282930
SST
(°C
)
SF EGPCPSST
SF E − GPCPERA ¢Q
Tropical Indian
Deep convective cloud fraction from ISCCP
2007GEWEXIntegratedproducts
Net surface heat flux
E, P and Div(Q)
PBrownandCKummerow,2012
CourtesyofCKummerow
Releaseof20yearsQ12018ScienceworkshopMarch2019inSpain
Towards a long-term mulD-satellite data set
• ESACCIECVsoilmoisturedatasetservesover3700registeredusers:• CurrentlyTHEstate-of-theartmul8-satelliteSMproduct
30
[Dorigo,W.A.,2015,IGARSS]
ESA CCI merging in a nutshell
• Individualdatasetsareharmonized,error-characterized,andmergedinto• anac8ve-onlyproduct• apassive-onlyproduct• acombinedac8ve-passiveproduct
31
[Gruberetal.,2017,Dorigoetal.,2017,RSE]
ESA CCI merging in a nutshell • Recentevolu8onfromasimpleternary-classbasedac8vepassivemergingtoaleast-squaresbasedmergingusingerrores8matesobtainedfromtriplecolloca8onanalyses
• Con8nuousweigh8ngofdifferentproducts• Mergingofmorethan2productspossible
32
Blending weights for merging AMSR-E, Windsat, and SMOS into a merged passive dataset (July 2010- October 2011) [Gruber et al., in prep.]
Blending weights for merging ACTIVE and PASSIVE into COMBINED (period January-December 2014) [Dorigo et al. 2017, RSE]
Towards operaDons • TheCopernicusClimateChangeService(C3S)
• Providesdaily,decadalandmonthlysoilmoistureses8mates• Witha10-daylatency• Scien8ficupdatesfromtheCCIimplementedwithayeardelay(forvalida8onpurposes)
33
Next steps…
• Whatdouserslike?• Long8meseries• Goodspa8al-temporalcoverage• Wellerror-characterized
• Whatshouldbeimproved?• Longer8meseries• Beferspa8al-temporalcoverage/resolu8on• Reducingerrors• Beferdefini8on/harmoniza8onoflayer-depth• RemovingdependenceonLSMs(!)
• Issuesprogressivelytackledinnewproductversions!• ESACCISMv04.xtobereleasedend2017• ESACCISMv05.xalreadyunderdevelopment• Nodirectfundingforscien8ficimprovements!
34
GROUND-BASED NETWORKS SoilmoisturePrecipita8on
SurfaceRadiaGon(BSRN)ARM
ISMN overview
• BasicprocessingchainoftheISMN• Datafromdifferentnetworksarecollected…• …harmonized…
• format,units,sampling,…• …quality-controlled…
• Automatedflaggingofsuspiciousvalues• …storedintoadatabase…• …andmadeavailableforthepublic
throughawebportal• Variousviewinganddownloadingop8ons
36ExampleoftheISMNdataviewershowing8meseriesofdifferentvariables.
Some facts… • CurrentlyavailableattheISMN:
• 58networks• 2436Sta8ons• Historicaldatasets
• reachingbackto1952• Opera8onaldatasets
• UpdatedinNRT
37
§ Addi8onalvariables:• Soiltemperature• Airtemperature• Precipita8on• Snowdepth• Snowwaterequivalent• „Sta8c“variables(texture,satura8onpoint,..)
What’s next?
• TheISMNisaGEWEXsuccessstory,servingalargeinterna8onalscien8ficcommunityandhavinglargeimplica8onswellbeyondscience,e.g.through
• Improvementofweatherandclimatemodels• Valida8onofremotesensingproducts• Supporttoagriculture• …
• Good-value(costs~50kEUR/y)• Financialsupportfor2009–June2016hascomefromESAEOPSMOS• Currentnego8a8onsforafundingextensionofanother1.5years(underESA’sSensorPerformance,Productsand
Algorithms(SPPA)element)
• ESA‘smandateisnotopera8ons,thereforeanewmechanismneedstobefound(soon!)• Noconcretealterna8vessofar…• InterestoftheGermanFederalIns8tuteofHydrology(BfG;well-knownfortheGlobalRun-offDataCentre)
38
The Atmospheric RadiaDon Measurement (ARM) Climate Research Facility
JIMMATHERARMTECHNICALDIRECTOR
October11,2017
Overview of ARM Facility
40
Long-term, comprehensive atmospheric observing network " Since 1992, providing measurements of cloud & aerosol properties, & their
impacts on Earth’s energy balance " Network of 3 fixed & 3 mobile atmospheric observatories providing
comprehensive instrument suites across diverse climate regimes " Manned & unmanned aerial measurement platforms " Extensive data management infrastructure that has accumulated over
1 petabyte of data to support climate research " Broad array of freely available data products to support the advancement of
climate research & climate model development " 200 staff spanning 9 DOE laboratories & other institutions " Work closely with the DOE Atmospheric System Research (ASR) program &
serve the international climate research community
FY18 Science Product PrioriDes
• Productssuppor8ngLASSO• Suppor8ngValueAddedProductsforARMMobileFacili8es• RadarProductsthatmakeradardataaccessibletousers• ARMProductsformodelers
• Varia8onalAnalysisbasedForcing• ARMBestEs8mate• Diagnos8cs&Metrics
• Improveddataqualityanduncertainty• Dataepochs(virtualfieldcampaigns)• MachineLearning
January31,2018 41
BaselineSurfaceRadiaGonNetworkC.Long
(CourtesyC.Long)
• BSRNincludes59sta8onswithcontributeddata• >750sta8on-yearsofobserva8ons• Dispersedfrom90OSthrough82ON
• 8newsiteshavebeenprovisionallyapproved• Increasingrecogni8on,use,andscien8ficimpact
Upcomingmee8nginJuly2018(atNCAR)
Neumayer
hfp://bsrn.awi.de/
U. Schneider, A. Becker, A. Meyer-Christoffer, M. Ziese, P. Finger
Deutscher Wetterdienst Department Hydrometeorology
6th GDAP-Meeting, 09-12 Oct. 2017, Boulder, CO, USA
Global Precipitation Climatology Centre
Status report and outlook of the Global Precipitation Climatology Centre
(GPCC)
presented by R.F. Adler (GPCP)
Data base for different GPCC products
MP extended backward to 1982
new data loaded since May 2015
6th GDAP-Meeting, 09-12 Oct. 2017, Boulder, CO, USA
GPCC‘s Precipitation Climatology V.2015 for July on a 0.25° grid
6th GDAP-Meeting, 09-12 Oct. 2017, Boulder, CO, USA
Ø GPCC is providing the following daily gridded data sets:
Daily precipitation analysis products
• A First Guess Daily Analysis available within 5 days after the end of the month via internet Period: Jan. 2009 to present Data base: ca. 7,000-8,100 stations described in Schamm et al. (2014)
• The Full Data Daily Analysis (V.1) updated from time to time Period: Jan. 1988 to 2013 Data base: ca. 10,000-30,000 stations
6th GDAP-Meeting, 09-12 Oct. 2017, Boulder, CO, USA
ASSESSMENTS 1. Aerosols2. Soilmoisture3. Cloud4. Watervapor5. Precipita8on(includingtheJointIPWG-GEWEXeffort)6. TowardsaguideforGEWEXassessment
why new assessments ?
• forAOD(andsize)fromspace• MODISisthemainworkhorse
• twicedailycoverage,NRTavailable• BUT
• therearedifferentMODISretrievalsandstar8ngtocombinestrengthsisVERYslow• whathappens,ifEOSpla�ormfails:aresub-sequentretrievals(e.g.VIIRS)matureenough?
• cancomplexretrievals(e.g.GRASP)deliverontheirpromise?(e.g.with3MIsensordata)
Aerosols(StephanKinne)
what next • thepast(s8llnotreleased)assessment
• agoodreferenceonaerosolremotesensing• butonlyaddressed1x1griddeddata
• NOWaddi8onalques8ons• newsensorsandtheirretrievals• highertemporalandspa8alevalua8onalsoexamining(provided)retrievaluncertainty
• whohasassessedlately?• ESA’saerosolCCI…comestoanendsoon• AeroSATis(atleast)apla�ormfordiscussions• NickSchutgens:isdoingdetailedvalida8ontoAERONET…invitehimtoafuturemeeNng?+manyothers…somerecentliteraturesummary?
Aerosols(StephanKinne)
Water: Soil Moisture Assessment
AlexanderGruber,WouterDorigo(andmanyothers)
GEWEXGDAP-EEImee8ng
October9–12,2017
NCAR,Boulder,CO
Triple collocaDon analysis • Doingtriplet-wisedatainter-comparisoninsteadofclassicalpair-wise(e.g.,R,RMSD)allowsforsepara8ngsignal-andrandomerrorcomponents
• Uncertain8esmaybeexpressedas• RMSE• R(w.r.t.truth)• Signal-to-NoiseRaGo(SNR)
(*)DoesnotresolvesystemaNcerrors!!
51
)Var()Var(log10]dB[SNRi
i εΘ
=
0dB:signal=noisevariance+3dB:signal=doublenoisevariance-3dB:signal=halfnoisevarianceEvery+/-3dBcorrespondstoadoubling/halvingofthera8o[Gruberetal.2016]
Work in progress… • AValida8onGoodPrac8ceDocument/Protocol
• AgroupeffortledbyAlexanderGruber• ini8atedwithinanISSIteamworkshop• TobesubmifedFebruary2018(attheverylatest)
52
§ ClementAlbergel§ AmenAl-Yaari§ BrianBarreZ§ LucaBrocca§ AndreasColliander§ MichalCosh§ WadeCrow§ RicharddeJeu§ WouterDorigo§ SeyedHamedAlemohammad§ MarNnHirschi§ TomJackson§ AlexandraKonings
§ WilliamLahoz§ KaighinMcColl§ NadineNicolai-Shaw§ RobertParinussa§ ChristophPaulik§ ChiaraPratola§ ChrisRuediger§ SoniaSeneviratne§ Chun-HsuSu§ RobinvanderSchalie§ WolfgangWagner§ SimonZwieback§ (listnotcompleteyet!)
53
ESA Cloud_cci: AVHRR, AATSR, MODIS (Retrieval based on Optimal estimation)
GEWEXCAreference:average(ISCCP,MODIS-ST,PATMOSX,AIRS-LMD)
Cloud_ccidatasetsslightlymisscirrusduringday,beeerduringnight(IRspectrum)Cloud_ccipeakoflowcloudsslightlytoohighCMSAFHIRS-HECTORsimilartoAIRS-CIRSCMSAFAVHRR-CLARA:lesssensiGvetolow-levelclouds
CM SAF: AVHRR-CLARA, HIRS-HECTOR
CloudAssessmentextendedPhase(C.Stubenruach)
54
GEWEXCloudAssessmentdatabase:12 global ‘state of the art’ datasets (in 2008)
Ø jointefforttobuildconsistentdatabase: 1) developing strategy for L2 -> L3 processing (2010 workshop)
2) Iterative process: analyses -> problems -> feedback to teams -> correction by teams some inconsistencies in L2->L3 processing remained; AM-PM definition CALIPSO, MODIS-CE histograms not usable…
UGlityofdatabase:Ø assessmentofnewdatasetsØ climatestudies (CFMIP-OBSdatabaseusedformodelevalua8on)->demandfromuserstoupdatethedatabaseUpdate(same data format, similar website structure in cooperation with AERIS):Ø atleast7par8cipa8ngdatasets+6newdatasetsØ 1analysis¬etoBAMSwithsummaryØ Improvementsduetoretrievalproblems,butitlookslikemainconclusionstays
thesame:sensiNvitytocirrusinstrument/retrievalmethoddependentØ Ancillarydataaffectlow-levelcloudamountØ NextstepshouldbereallymulN-instrumentretrievalsorintelligentcombinaNon
ofdifferentdatasets/variables
CloudAssessmentextendedPhase
ConDnued Analysis of the GEWEX Cloud Assessment Data
(within the ICWG)AndrewHeidinger
NOAA/NESDIS@CIMSS
MikeFosterMadison,WisconsinUSAMar8nStengel,DWD,Germany
*LeadsoftheICWGClimateGroup55
Next InternaDonal Cloud Working Group (ICWG)
• Fall2018inMadisonWisconsin
• HostedbyProfessorRalfBennartzofVanderbilt
• Allarewelcome.
• Registra8onpagebeingsetup.
• Agendaandgroupac8vi8esinfluxandpleasefeelfreetocollaborate.
• WillhaveIWWGandIPWGpar8cipa8onaswell.
Change in ICWG OrganizaDon 1. Algorithms(PhilWaZs)
• ReviewoflatestalgorithmsforgeostaNonaryimagers.• UseofCombinedSensorsforCloudRetrievals
2. Assessments(A.Walther)
• Assessmentoflevel-2CloudParameterRetrievals
• AssessmentofRetrievalUncertainNes
• ArcNcCloudDetecNon
3. ClimateApplica@ons(M.Stengel,/M.Foster)
• GEWEXCloudAssessmentConNnuaNon(C.Stubenrauch?)
• Level-3griddingissues
4. WeatherApplica@ons(Tbd)
• CloudHeightforWindApplicaNons(withIWWG)
• SevereWeatherApplicaNons
• PrecipitaNonApplicaNons(withIPWG)
Wedecidedthe12orsotopicalgroupsatthelastmee8ngwasunsustainable.Wedecidedtoform4permanenttopicalgroupswhicharecomprisedofsub-groupsthatformanddissolveaswarranted.WesuggestmakingatopicalgroupintheClimateApplica8onsgroupdedicatedtothecon8nua8onoftheGEWEXCloudAssessment.Sub-groupsarebeingfinalized.
The Water Vapor Assessment Phase 2 Lead.MSchröder(DWD),Co-leads:H.Brogniez(LATMOS)andB.HO(BCAR)
Climateorientedassessment(stability,absolutevalue,PDF,etc…).Numerouspeer-reviewedpublica8ons.In2017aWCRPreportthatcontainsresultsandrecommenda8onstointerna8onalbodies,spaceagenciesandindividualPIsproducingwatervapourdatarecordsPUBLISHEDAsummaryisinpreparaGonforBAMSThedatafromtheFirstassessmentarealsounderconsideraGonforpublicaccessEUMETSATiscon8nuingitsfundingofthecentraldatabase,workshopsandpresenta8onsatGDAPmee8ngs.
hfp://gewex-vap.org.
Abroad,community-drivenandsustainedassessment3Essen8alClimateVariables(ECV)onwatervapour:
• Totalcolumnwatervapour(TCWV),• Uppertropospherichumidity(UTH),• Watervapourandrelatedtemperatureprofiles
• Satelliteandreanalysisdatarecords• OperaGonalsatellitedata• Ground-based/in-situdatarecords
2016WorkshopatEUMETSATHQ
PrecipitaDon assessment under GDAP • On-goingGEWEXGDAPprecipassessmentleads:H.Masunaga/C.Kummerow
• Broadeningtomoreproductsasof2017• Strongcontribu8ontotheJointIPWG-GEWEXassessment
• 0.5°,3-hourlyrainhistogramforselectedproductsJanuary2015sta8s8cs
Spreadislargerforextremerains(inpar8cularoverocean).
CourtesyMasunaga/FURUZAWA/KUMMEROW
PrecipitaDon assessment under GDAP • Alotofvariabilityrelatedassessments:exampleEl-Nino
• NINO-3(le�)andNINO-west(right)Pvs.SOICC.
GSMaP CMAPCmorph
GPCP
IMERG
Persiann GSMaP
TMPA
CMAP
Cmorph
GPCP
IMERG
Persiann
Thecorrela8onisintheoryexpectedtobenega8veforNINO3andposi8veforNINO-West.Theresultsarehowevermixed.
TMPA
CourtesyMasunaga/FURUZAWA/KUMMEROW
PrecipitaDon assessment: Joint IPWG-GEWEX effort Leads:Z.HaddadandR.Roca
• Ini8allytriggeredbyRRinApril2017withasmalldiscussiongroup
• ExposedtoEuropeanscien8stsinMay2017(EuropeanprecipworkshopinOffenbach)
• ExposedtoUS/interna8onalscien8stsinOctober2017(duringtheGPMscienceteammee8ng)
• FirstAssessmentScopingMee8ng+ReportOctober2017(Saturdaymee8nga�ertheGPMscienceteammee8ng)
• Callforinterna8onalpar8cipa8onNovember2017hep://ipwg.isac.cnr.it/reports/assessment_2018-21.html
# Name Leads Shortdescrip8on1Standardqualityassessment T.KubotaandH.
Masunagacataloguewithsummarydescrip8ons;intercomparisons;regimesortedsta8s8cs;quality&traceability(includingWDACdoc+FIDUCEO)
2Uncertainty J.TurkandP.Kirstefer uncertaintymetrics(detec8on,es8ma8on);intrinsicuncertainty(sensi8vity);algorithmlimita8ons;
3Consistency A.BeranghiandD.B.Shin
waterandenergybudgetsconsistency;regionalbudgets;ancillarydatasets(descrip8onandassessmentforrobustness)
4Evalua8onofanalysisdatafromnumericalmodels
H.J.KimandG.Balsamoperformancemetrics;modelscales(spa8alandtemporal)
5Groundbaseddata C.KiddandS.Durden sources(includingweatherradarwhereavailable);calibra8onanduncertaintycharacteriza8onofsources,includingpolarimetricgroundradars
6Valida8onatweatherscalesinregionswithoutgroundmeasurements
R.Ferraro consistencywithotherremotelysenseddataatweatherscales;consistencywithreanalysis
7Variabilityandtrends F.J.Tapiador sub-seasonal,seasonal,annual,inter-annual;extremesandtheabilitytocapturethemfaithfully;correla8onwithclimateindices;
8Endusersapplica8ons Z.HaddadandG.Huffman
phenomenologicalassessment(consistencywithagriculturalindices,etc);latencyissues;
9Recommenda8onstoalgorithmsdeveloppers
G.HuffmanfandZ.Haddad
assessmentofassump8onsunderlyingthealgorithms,includingretrievalsfromgroundmeasurements(physicalvalida8on);
10Programma8crecommenda8ons G.StephensandV.Levizzani
productsensi8vitytosatelliteconstella8onconfigura8on;sensi8vitytoinstrumentcapabilityandperformance,includingground/airborneinstrumentsproductsensi8vitytosatelliteconstella8onconfigura8on;sensi8vitytoinstrumentcapabilityandperformance,includingground/airborneinstruments
PrecipitaDon assessment: Joint IPWG-GEWEX effort
• Shortterm(May2018)ongoingac8vity:Thesec8onleadersshouldelaborate3lists:
• Thefirstlistwouldconsistofaninventoryofexis8nganalysisresults,reports,andpeer-reviewedpapers,thatcanbedrawnuponfortheassessment.
• Thesecondlistwouldiden8fygapsthatcanrealis8callybeaddressedoverthenextthreeyears(i.e.by2020)byiden8fiedvolunteercontributorswhowillconducttheanalyses.
• Thethirdlistwouldiden8fyimportantgapsforwhichthereiscurrentlynoclearcontributor.Thiswouldthenbealis8ngofopportuni8esfornewvoluntarycontribu8ons
PrecipitaDon assessment: Joint IPWG-GEWEX effort
SCHEDULE• February2018:ac8onZiadandRémy::remindertosec8onleaders
• May2018:(AttheGEWEXConf?Orteleconf)• consolidateditemslistsfromthesec8onleaders
• November2018:firstmee8ngatIPWG-9(Seoul)• toadoptscopesummarydocumentpreparedfromtheelementleadlists
• October2020:mee8ngatIPWG-10• toreviewtheassessmentresultsandrecommenda8ons,andstartwri8ngthefinalreport.
OUTREACH
• withinGEWEXHydrologywithGLAS?ToGAS?• WithinWCRP:Ac8onGraemeStephens->linkwithChris8anJacob
PrecipitaDon assessment: Joint IPWG-GEWEX effort
ScienDfic Assessment framing under scienDfic big quesDons LiteraGrereview
ProgrammatocrecommendaGon
Variability&trends
consistency Uncertainty Groudnbaseddata
Standardqaulityassessment
Recommendtoprovidersoralgorithms
Status Constella8nosensi8vity
Annualandsubseasonnal
intercomparison Underlyingassump8ons
Wahtwegotfromthepast
Instrumentspec
interannual Assessingtheuncertainty
defini8on
programma8c
Clausiuisclapeyronextreme
Structural(regimesortedsta8s8cs)
Regimesortedsta8s8cs
Surface/insitunetwork
Correla8onwithclimateindices
Quality(tracability)IncludingWADCdoc+FIDUCEO
OSSEdatadenialanalysis
catalogue
Addexemplefromongoinggewexstuff(seafluxweatherregims,watervapor)WriteareportforWCRPwiththepanels
News Items and others
focusontropicalconvec@vesystems&cirrusoriginaNngfromlarge-scaleforcingØ cloudsystemapproach,anchoredonIRsounderdatahorizontalextent&convec8vecores/cirrusanvil/thincirrusbasedonpcld,εcldØ explorerelaGonshipsbetween‘proxies’ofconvecGvestrength&anvilsØ buildsynergeGcdata(vert.dimension,atmosph.environment,temporalres.)Ø determineheaGngratesofdifferentpartsofUTcloudsystemsØ followsnapshotsbyLagrangiantransfer->evoluGon&feedbacksØ invesGgatehowcloudsystemsbehaveinCRMstudies
&inGCMsimulaGons(underdifferentparameterizaNonsof convecNon/detrainment/microphysics)
meeNngs:Nov2015,Apr2016,Mar2017workinggrouplinkscommuniGesfromobserva8ons,radia8vetransfer,transport,process&climatemodelling
PROESUTCC(C.StubenrauchandG.Stephens)
Recent Advances from Satellite Gravimetry and AlDmetry Measurements
• Sealevel(fromsatelliteal8metry)minusoceanmass(fromspacegravimetry)providesasatellite-basedalterna8vetoArgofores8ma8ngOHC
• Thecurrentbestes8mateoftheOHCchangefromsatelliteis0.7±0.5Wm-2
over2005-2015• GDAPendorsesexpansionofthisac8vitytoregionalandshorter8mescalesaspartofanewEEI-themedenergybudgetassessment.
Related AcDviDes • GEWEXsponsoredorsupporteddatasetsonacommon1∘,3-hourly,equal-areagrid
• Supportsregionalwaterandenergybudgetclosureanalyses• UserworkshopinSpainin2019
• Advanceland-ETandsurfaceradia8onmeasurementsbyexplicitlylinkingtonew/proposedlandsurfacetemperature,soilmoisture,terrestrialwaterstorage,andgroundheatstorageassessmentac8vi8es
• GrewoutofCLIVARCONCEPT-HEATandNASANEWS• Integratedassessmentofmethodsforquan8fyingfundamentaldriverofclimateandreconcilingtop-of-atmospherevs.surfaceperspec8ves
GEWEXIntegratedDataset
Earth’sEnergyImbalance
IntegratedSurfaceWaterandEnergyAssessments
ConDnuing a Key Climate Data Record: ISCCP-Next GeneraDon • Cloudproper8escons8tuteacoregeophysicalclimaterecord• Instrumentsandexper8seexisttogenerateacalibrated,global,10-channel,mul8-parametercloudat3kmwith30minutecoverage
• Heritagetodealwithsuchdatavolumesalsoexists(e.g.AIRSandMODIS)• ExcellentopportunityforcoordinatedNASAandNOAAac8vitytomaximizescien8ficbenefitsofnewgeosta8onaryandlow-earthorbi8ngsatellites
• GDAPendorsestheforma8onofateamtodevelopaunifiedanalysisapproachbuiltaroundthecurrentgeosta8onaryradiancedatarecordaugmentedbyMODIS/VIIRSandsoundercloudinforma8on
• Agencysupportforaseriesofinterna8onalworkshops• Target2021forini8alimplementa8on
• Amul8-ins8tu8onal(mul8-na8onal)processingchainsimilartoISCCPisencouraged• Individualsatelliteoperators,collect,qualitycontrol,andsub-sampleradiancesandprovidethesedatatoananalysiscenterthatwouldconductarefinedcalibra8onandthequan8ta8vecloudanalysis.
• Dataproductstobearchivedanddistributedbyexis8ngdatacenters.