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User’s Guide Dataset name: Gridded Sea Surface Height Anomalies Climate Data Record Version JPL1609 Authors Victor Zlotnicki (1), Zheng Qu (2), Joshua K. Willis (1) (1) Jet Propulsion Laboratory, California Institute of Technology, Pasadena CA, USA. (2) Raytheon Corp., Pasadena CA, USA. Abstract Ocean topography gridded products from nadir satellite radar altimetry, distributed over the past nearly two decades by AVISO, have found a variety of applications, including eddy tracking, Antarctic Circumpolar Current fronts, and estimating the transport of the Atlantic Meridional Overturning Circulation among others. Nonetheless there was a need to update the gridding procedures, as certain simplifications imposed by historical computer restrictions are no longer necessary. This document describes the gridded data products produced at the Jet Propulsion Laboratory. Those products are “final” grids, with a delay of a few months, and the “interim” grids, produced in near real time. One key measure of quality of the resulting grids is a comparison to withheld altimetry data, not only in terms of overall root mean squared (RMS) discrepancy, but in assessing the spectral properties of grids versus withheld data. We find that these grids based on two satellites at any one time, reproduce wavelengths longer than 350 km near the Equator (4.3 cm RMS), 150 km in the Antarctic Circumpolar Current region (4.0 cm RMS), and 250 km in the Gulf Stream region (9 cm RMS). Another quality measure is by comparison with a set of 61 well distributed, high quality tide gauges; we find that the standard deviation of the detrended difference between our grids and the tide gauges is 3.1 cm, while the standard deviation of the tide gage time series is 7.5 cm. The above assessment applies to the “final” grids; there is an overall RMS difference of 2.5 cm between final and interim grids. Credit Please cite these data as: Zlotnicki V., Z. Qu and J. Willis. 2016. Gridded Sea Surface Height Anomalies Climate Data Record Version JPL1609. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at http://dx.doi.org/10.5067/ SLREF-CDRV1 Introduction

User’s Guide - NASA · 2017-05-25 · User’s Guide Dataset name: Gridded Sea Surface Height Anomalies Climate Data Record Version JPL1609 Authors Victor Zlotnicki (1), Zheng Qu

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Page 1: User’s Guide - NASA · 2017-05-25 · User’s Guide Dataset name: Gridded Sea Surface Height Anomalies Climate Data Record Version JPL1609 Authors Victor Zlotnicki (1), Zheng Qu

User’sGuideDatasetname:GriddedSeaSurfaceHeightAnomaliesClimateDataRecordVersionJPL1609AuthorsVictorZlotnicki(1),ZhengQu(2),JoshuaK.Willis(1)

(1) JetPropulsionLaboratory,CaliforniaInstituteofTechnology,PasadenaCA,USA.(2) RaytheonCorp.,PasadenaCA,USA.

AbstractOceantopographygriddedproductsfromnadirsatelliteradaraltimetry,distributedoverthepastnearlytwodecadesbyAVISO,havefoundavarietyofapplications,includingeddytracking,AntarcticCircumpolarCurrentfronts,andestimatingthetransportoftheAtlanticMeridionalOverturningCirculationamongothers.Nonethelesstherewasaneedtoupdatethegriddingprocedures,ascertainsimplificationsimposedbyhistoricalcomputerrestrictionsarenolongernecessary.ThisdocumentdescribesthegriddeddataproductsproducedattheJetPropulsionLaboratory.Thoseproductsare“final”grids,withadelayofafewmonths,andthe“interim”grids,producedinnearrealtime.Onekeymeasureofqualityoftheresultinggridsisacomparisontowithheldaltimetrydata,notonlyintermsofoverallrootmeansquared(RMS)discrepancy,butinassessingthespectralpropertiesofgridsversuswithhelddata.Wefindthatthesegridsbasedontwosatellitesatanyonetime,reproducewavelengthslongerthan350kmneartheEquator(4.3cmRMS),150kmintheAntarcticCircumpolarCurrentregion(4.0cmRMS),and250kmintheGulfStreamregion(9cmRMS).Anotherqualitymeasureisbycomparisonwithasetof61welldistributed,highqualitytidegauges;wefindthatthestandarddeviationofthedetrendeddifferencebetweenourgridsandthetidegaugesis3.1cm,whilethestandarddeviationofthetidegagetimeseriesis7.5cm.Theaboveassessmentappliestothe“final”grids;thereisanoverallRMSdifferenceof2.5cmbetweenfinalandinterimgrids.CreditPleasecitethesedataas:ZlotnickiV.,Z.QuandJ.Willis.2016.GriddedSeaSurfaceHeightAnomaliesClimateDataRecordVersionJPL1609.PO.DAAC,CA,USA.Datasetaccessed[YYYY-MM-DD]athttp://dx.doi.org/10.5067/SLREF-CDRV1Introduction

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Inaseriesofpapers(LeTraonetal,1998;Ducetetal,2000;LeTraonandDibarboure,2002),P.Y.LeTraonandcolleaguesestablishedanefficientandaccuratemethodtogridseasurfaceheights(SSH)fromtime-varyingalongtracknadirradaraltimeterdata.TheyshowedthattheirapproachwasanimprovementoverthatproposedbyWunschandZlotnicki(1984),alsousingobjectivemapping(Brethertonetal.,1976),whichfocusedonthetime-averagedseasurfacetopography;theypaidspecialattentiontotheremovaloflongwavelengthalongtrackerror,andascertainedtheaccuracyofthetechniquebysamplingnumericalmodeloutputinthemanneranadiraltimeterdoes,griddingthesampledmodel,andcomparedtothefullmodelgrids.ThegridsproducedbyvariousversionsoftheirtechniquebySSALTO/DUACSanddistributedbyAVISOsponsoredbytheCentreNationaled’EtudesSpatialesofFrancehavebeenwidelyused.ForexampleCheltonetal(2011a)usedthemtotracknonlinearmesoscaleeddiesbasedonclosedcontoursofSSH,itselfadataproductlaterusedinotherstudies(e.g.Cheltonetal,2011b;Samelsonetal,2014);Willis(2010)demonstratedthattheSSHmapstogetherwithArgodatashowedskillinestimatingthetransportoftheupperlimboftheAtlanticMeridionalOverturningCirculationaround41oN;SokolovandRintoul(2007)andThompsonandSallé(2012)usedthesegridstostudyfrontsoftheAntarcticCircumpolarcurrent.Ofcourse,thislistisjustaverysmallsampleofthemanyapplicationsthesemapshavefound.Despitetheirsuccess,AVISOalsosawtheneedtoupdatecertainchoicesmadelongagointhegriddingprocedure,andreleasedanewsetofgridsin2014,labelledDT2014,anddescribedatthe2015OceanSurfaceTopographyScienceTeammeeting(Pujoletal,2015).Thesetofgridsdescribedherealsouseatechniquesimilartoobjectivemapping,calledsimplekrigging(https://en.wikipedia.org/wiki/Kriging;CressieandWikle,2011,chapter4).InputData.Allgridsareconstructedfromtwosimultaneousaltimetricsatellites.OnesatelliteisoneofTOPEX/Poseidon,Jason-1,Jason-2,orJason-3.Theothersatelliteisoneof:ERS-1,ERS-2,Envisat,AltiKa,orCryosat-2.DatafromthefirstsetareobtainedfromthealongtrackdataproductgeneratedbytheGoddardSpaceFlightCenteranddistributedbyPO.DAAC,entitledIntegratedMulti-MissionOceanAltimeterDataforClimateResearch,version3.ThedataforthesecondsetofsatellitesisobtainedfromtheRADSdatabase(rads.tudelft.nl) withdefaultcorrectionsasofMarch2016.Theexactsatelltiesuseddependonthedate,pleaserefertothetablebelow.Date Satellite 1 Date Satellite 2 1992-9-23 to 2002-5-14

TOPEX/Poseidon ERS-1

2002-5-14 to 2008-7-2

Jason-1 ERS-2

2008-7-2 to present Jason-2 Envisat Future Jason-3 AltiKa CryoSat-2

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Method.First,acovariancefunctionforeachlocationovertheglobaloceanswasobtainedasfollows.TheanalyticalfunctionCij=var*b*exp(-a*rij-(dtij/Lt)^2)=<h(xi,yi,ti)h((xj,yj,tj)>isused,where:<>isanexpectedvalueoperator,h(x,y,t)istheseasurfaceheightathorizontalpositionx,y,timet,Lt=10daysforlatitudesupto5o,15daysforlatitudeshigherthan10o,andlinearlyinbetweena=3.3369,b=1+r+r2/6-r3/6r=√(((dx-Cx*dt)/Lx)2+((dy-Cy*dt)/Ly)2),dx=xi-xj,likewisefordyanddt.var=squaredrootmeansquaredhfromTOPEXandJasonalongtrackdata1993-2014.LxandLyarelengthscalesinthezonalandmeridionaldirectionsdeterminedbyfittingtheabovefunctiontoalongtrackcovariancefunctionsdeterminedfromhistoricalalongtrackrepeataltimetrydataalongtheTOPEXandJason-1and-2tracks,thenrotatedusingJacobs(2013)estimateoftheratioofzonalandmeridionallengthscales.CxandCyaredriftvelocitycomponents,determinedasfollows:inafirststep,Cx,Cyaresettozeroandthecompletedatasetisusedtogenerategridssampledevery1/6degreeand5days.Inasecondstep,CxandCyaredeterminedfromsuccessivegridsbydecomposingintocircles,whoseradiusisthezerocrossingofthecorrelationfunction(Figure2),shiftingtwocorrespondingboxesby1degreeoffsetinalldirections,andcomputingtheircorrelationcoefficient,finallydeterminingCxandCyfromtherelativepositionofthetwoboxeswithmaximumcrosscorrelation.ThethirdsteprerunsthewholegriddingcomputationusingtheCxandCymapsthusdetermined.

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Figure2:zerocrossingdistanceoftheautocovariancefunction,estimatedfromalongtrackaltimetrydata.

Figure1aandb:alongtrackcorrelationsestimatedfromourdata,andfromLeTraonetal

a b

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Figure3:Top:LxfromGregJacobs,2014,pers.Comm..Bottom:theratioLx/Lyfromthesamesource.

Page 6: User’s Guide - NASA · 2017-05-25 · User’s Guide Dataset name: Gridded Sea Surface Height Anomalies Climate Data Record Version JPL1609 Authors Victor Zlotnicki (1), Zheng Qu

Figure4:propagationsvelocitycomponentsCxandCyfor2010-01-05(anewsetofCx,Cyiscomputedforeach5daymap).Giventheabovecovariancefunction,theestimationofh(P),P=(x,y,t)isthelinearcombinationh(P)=sum(h(Qi)wi(P,Qi))wherethevectorwofweightswiisestimatedbyleastsquaresas𝑤𝜇 = 𝐷 1

1 0'( 𝐶

1 whereCisthesetofCijbetweenthepositionofinterpolationi(gridnode)andeachofthesurroundingdatapointsj;D=C’+EisthesumofthematrixofC’ikbetweenanytwodatapointsiandkandtheexpectederrorcovarianceEikbetweenthosetwopositions.Eikisdiagonal,exceptwhentwodatapointsareonthesamegroundtrack,whereabiaserrorisallowedandsolvedfor.ThistrackbiasisassumedtobezerofortheTOPEX,Jason-1,-2,-3satellites,butnonzerofortheERS-1,-2,Envisat,AltiKasatellites.

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Thematricesdonotcontainalltheglobaldatadistribution,butonlydataintwowindows:theinnerwindowhasa400kmradius,theouterwindow1050kmradius,thetimewindow15days.Alldataintheinnerwindowareused,1datapointevery3intheouterwindowareused.Thematrixisinvertedforallpointsinsidea1oboxinbothlatitudeandlongitude.AccuracyAssessmentAgainstAltimetry.Accuracyhasbeenassessedbywithholdingdatafromonealtimeter(oftheT/P,J-1,J-2series)foroneday,thencomparingtheresultinggridstothewithhelddata.Thisproducesanupperboundontheerror,sincethefinalgridsincludealldata.Thedatawerecomparedbothspatiallyandspectrally.Thefiguresbelowshowthespatialpowerspectrumofthewithheldalongtrackdata,ofthegriddedproductinterpolatedlinearlytothepositionofthealongtrackdata,andthespectrumofthedifference.Seecaptionfordetails.

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Figure5:spectraofwithheldalongtrackT/PorJ-1orJ-2data,spectraofthemapwithoutthesedata,interpolatedtothetimeandpositionofthealongtrackdata,andspectraofthedifference.Ascanbeseen,theinterpolationretrievesintheACCregionwavelengthslongerthan150kmwith4cmoverallRMS,intheGulfStreamregionwavelengthslongerthan225kmwith9.5cmRMS,andintheequatorialregionwavelengthslongerthan350kmwith4.4cmRMS.

Page 9: User’s Guide - NASA · 2017-05-25 · User’s Guide Dataset name: Gridded Sea Surface Height Anomalies Climate Data Record Version JPL1609 Authors Victor Zlotnicki (1), Zheng Qu

Wehavenotcarriedoutadetailederrorassessmentnearcoasts,wherealtimetererrorsincrease,eitherduetolandcontaminationoftheradiometeroraltimeter,orincreaseduncertaintyofthetidalcorrection,orthefactthatdatafromdeeperwaterareincludedintheinterpolationduetothesearchradiiandtheabsenceofdataononesideofthesearchbox.Usersareurgedcautionininterpretingnearcoastaldata.Theauthorswouldwelcomeanyfindingsontheiraccuracy(pleaseemailvictor.zlotnicki[at]jpl.nasa.gov).Accuracyassessmentagainsttidegauges.Thegridswerecomparedagainstasetof61tidegaugeswithlongtimeseriescoveringtheperiodofthegrids(RichardRay,2016,pers.Comm.).Thedistributionofthetidegaugesisshowninfigure6,whileafewtimeseriesareshowninfigure7.

Figure6:(TOP)spatialdistributionofthe61tidegaugesusedinthiscomparison.Bottom:globalaverageofthedifferencebetweenaltimetricgridandtidegauges.The‘drop’before1998isanow-well-knownfeaturerelatedtoaninaccurateTOPEXcorrection.

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Figure7.Sampletimeseriesofaltimetricgrid(blue)andtidegauge(red).Notetheexcellentagreement;thediscrepancyattheendoftheNaurutimeserieshasbeenfoundtobeatidegaugeerror.Thecombinedstandarddeviation(SD)ofthetidegaugesis7.5cm,theSDofthedetrendeddifferencebetweenJPLaltimetryandtidegaugesis3.1cm.WealsocomparedthelatestversionoftheAVISO2-satellitegridstothesamesetoftidegages.TheSDoftheirdifferencewas2.5cm.ThenatureofthedifferenceisassociatedwithshortperiodnoiseintheJPLgrids.Differencebetween“final”and“interim”gridsThedifferencebetween“final”grids,computedexactlyasdescribedabove,and“interim”gridsisthis:thedatasourcefortheJasonseriesofsatellitesinsteadofbeingtheGoddardSpaceFlightCenterprocesseddata,whichisusuallydelayedbyafewmonthsinordertoyieldthehighestaccuracyproduct,isobtainedfromtheRADSsystem(Scharrooetal,2016)innearreal

Page 11: User’s Guide - NASA · 2017-05-25 · User’s Guide Dataset name: Gridded Sea Surface Height Anomalies Climate Data Record Version JPL1609 Authors Victor Zlotnicki (1), Zheng Qu

time.ThedifferencebetweenthesetwosetsofgridsisillustratedinFigure8,withaglobally-averagedrootmeansquareddifferenceof25mm.

Figure8.RMSdifferencebetween“final”and“interim”gridsCoverageandresolution:Thegridsaregivenevery5daysand1/6degreespatialsampling.Theactualresolutionisasillustratedinthe“accuracyassessment”section.Interim:Thereisalonglagofwhenfullyprocesseddataareavailableforthisdataset.Toalleviatethegapofwhenthedataaremeasuredandthefinalversionareavailableaninterimdatasetisprovided.TheinterimgridsaregeneratedentirelyfromnearrealtimeRADSdata,bothfortheJasonseriesaswellasforthesecondsatellite.Format:Thefilenamesareoftheformssh_grids_v1609_1992100712.nc,wherethedateofthemidpointoftheinterpolationisyear1992,month10,day07,hour12noon.Theextension‘nc’referstothenetCDFformat.Theinterimgridsareidentifiedbythestring‘_i’followingthedateinthefilename,asinssh_grids_v1609_1992100712_i.nc.Theversionidrefertotheyearandmonthwhenthecodewasfrozen.ThedatafilesarenetCDF,CFcompliant.Thecontentscanbeseenbelow:netcdfssh_grids_1993020412{dimensions: Longitude=2160; Latitude=960;

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Time=UNLIMITED;//(1currently)variables: floatLongitude(Longitude); Longitude:units="degrees_east"; Longitude:long_name="longitude"; Longitude:standard_name="longitude"; Longitude:point_spacing="even"; floatLatitude(Latitude); Latitude:units="degrees_north"; Latitude:long_name="latitude"; Latitude:standard_name="latitude"; Latitude:point_spacing="even"; floatTime(Time); Time:units="Dayssince1985-01-01"; Time:long_name="Time"; Time:calendar="standard"; floatSLA_ERR(Time,Longitude,Latitude); SLA_ERR:units="m"; SLA_ERR:_FillValue=NaNf; SLA_ERR:long_name="SeaLevelAnomalyErrorEstimate"; floatSLA(Time,Longitude,Latitude); SLA:units="m"; SLA:_FillValue=NaNf; SLA:long_name="SeaLevelAnomalyEstimate";//globalattributes: :DATE_CREATION="2015-11-06"; :Institution="JetPropulsionLaboratory"; :Conventions="CF-1.5";}References

Bretherton, F., R. Davis and C. Fandry (1976). A technique for objective analysis and design of oceanographic experiments, applied to MODE73. Deep Sea Research, v23, pp 559-582.

Cressie N. and C.K.Wikle (2011) Statistics for spatio-temporal data. J. Wiley. ISBN-13: 978-0471692744

Ducet, N., P.-Y. Le Traon, and G. Reverdin, 2000: Global highresolution mapping of ocean circulation from TOPEX/Poseidon and ERS-1 and-2. J. Geophys. Res., 105, 19 477–19 498, doi:10.1029/2000JC900063.

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Dudley B. Chelton ⇑, Michael G. Schlax, Roger M. Samelson, 2011a Global observations of nonlinear mesoscale eddies Progress in Oceanography 91 (2011) 167–216, doi:10.1016/j.pocean.2011.01.002

Dudley B. Chelton, Peter Gaube and Michael G. Schlax, 2011b The Influence of Nonlinear Mesoscale Eddies on Near-Surface Oceanic Chlorophyll. Jeffrey J. Early, Roger M. Samelson, Science, vol 334, pp 328-332, doi 10.1126/science.1208897

Le Traon, P-Y and G. Dibarboure 2002 Velocity Mapping Capabilities of Present and Future Altimeter Missions: The Role of High-Frequency Signals JTECH vol 19, pp 2077-2087,

Le Traon, P-Y, F. Nadal, and N. Ducet, 1998 An Improved Mapping Method of Multisatellite Altimeter Data J. of Atmospheric and Oceanic Techn, Vol 15, p522-534,

Pujol M.-I., Y. Faugere et al (2015): New Release Of Duacs Products: 20 Years Of High Resolution Sea Level Time Series Reprocessed. http://meetings.aviso.altimetry.fr/fileadmin/user_upload/tx_ausyclsseminar/files/Poster_DUACS_DT_pujol.pdf

Samelson, R.M., M. G. Schlax, And D. B. Chelton, 2014 Randomness, Symmetry, and Scaling of Mesoscale Eddy Life Cycles JPO vol 44, pp 1012-1029. DOI: 10.1175/JPO-D-13-0161.1

Scharroo, R., E. Leuliette, M. Naeije, C. Martin-Puig, and N. Pires (2016). RADS Version 4: An Efficient Way to Analyse the Multi-Mission Altimeter Database, Living Planet Symposium, Proceedings of the conference held 9-13 May 2016 in Prague, Czech Republic. Edited by L. Ouwehand. ESA-SP Volume 740, ISBN: 978-92-9221-305-3, p.428

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Wunsch, C., and V. Zlotnicki, 1984: The accuracy of altimetric surfaces. Geophys. J. Royal. Astron. Soc., 78, 795–808.