Comparison of SEVIRI Cloud Vertical distribution with space lidar observations
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1 ComparisonofCloudVerticaldistribution withspacelidarobservations G.Sèze(1),J.Pelon(2),H.Legleau(3),M.Derrien(3),D.Winker(4) (1)LaboratoiredeMétéorologieDynamique,CNRS/IPSLetUPMCParis,France. (2)Serviced'Aéronomie,CNRSetUPMCParis,France (3)CentredeMétéorologieSpatialeMétéo France,Lannion,France (4)NASA/GoddardSpaceFlightCenter AbettercharacterisationofCloudandAerosolradiativeparametersis neededattheglobalscaletobetterunderstandclimatefeedback(albedo change,heatingrates,dehydratationofthettl,) Cloudcoverandcloudtypesarethefirstparametersofimportance frequencyofoccurrence diurnalcycle lifecycle Cloudsat/CALIPSOScienceWorkshop,Madison,July2009
2 CoincidentandLIDARDATAAnalysis GLASprovidesafirstspacelidardatasetoverseveralweekperiods CALIPSOisnowprovidingdatasinceJune2006andoffersaunique opportunitytobettercharacterizeverticalcloudandaerosolstructure (CALIOP)andmicrophysics(CALIOP/IIR,coming) Geostationary(/METEOSAToverEuropeandAfrica) satellitesobservationswillhelptogetbetterglobal/regionalanalysesof thecloudcover,itstimeevolutionanditsdiurnalcycle. comparativeanalyses SAFNWCcloudtoppressure CALIOPlidarbackscatterprofiles 100hP 500hP 1000hPa a a August14th localtime Cloudsat/CALIPSOScienceWorkshop,Madison,July2009
3 ,GLASandCALIOPmeancloudcover GLAS CALIOP Octobre2003 ISCCPM DX Octobre2006 ISCCPM DX Somedifferencesbetweenthetwoyearsapparentbothintheandlidardata Cloudsat/CALIPSOScienceWorkshop,Madison,July2009
4 GLASCALIOPCLOUDCOVER viewinganglerestrictedto55 October2003at7h30pm 7h30am OceanNight OceanDay LandNight LandDay GLAS (OT>0.02) GLAS (OT>0.1) 74( 6) 65( 4) 54( 10) 44( 6) GLAS (OT>0.2) 72( 8) 62( 6) 50( 14) 39( 11) ISCCPMDX IR/VIS IR 62 63/ /48 October2006at1h30am 1h30pm OceanNight OceanDay LandNight LandDay CALIOP (OT>0.02) CALIOP (OT>0.1) 71( 2) 60( 3) 52( 4) 49( 3) CALIOP (OT>0.2) 69( 7) 59( 7) 48( 8) 46( 8) ISCCPMDX IR/VIS IR 61 57/ /61 Thelidarcloudcoverislargerthancloudcover,exceptedoveroceanduringdaytime. ThemeanlidarcloudcoverafterapplicationofathresholdonOTof0.2isclosefromthe one. TheIRM DXcloudcoverisclosefromtheoneoverlandbutthereisalarge underestimationoverocean. Thesignand/oramplitudeofthenighttodaycloudcovervariationisnotthesameinthe datasetandinthelidardatasetaswellformidday midnightoctober2006setthan theevening earlymorningoctober2006set. Cloudsat/CALIPSOScienceWorkshop,Madison,July2009
5 NightminusDayCloudCover CALIOP5kmOT>0.2 DX CALIOP80kmOT>0.2 CALIOP5km CALIOP80km CALIOP80km (OT>0.02) (OT>0.02) (OT>0.2) ISCCPDX IR/VIS IR (74) 76(69) 71 57/ (52) 58(55) 44 51/61 In()OTtestalsoappliedtolowcloudlayers. OceanNight OceanDay LandNight LandDay Cloudsat/CALIPSOScienceWorkshop,Madison,July2009
6 andcaliopcloudcover DifferencemapsandComparisonatpixellevel 5kmDAY 5kmNIGHT OceanDay 80kmDAY OceanNight LandNight 80kmNIGHT Landday LIDAR GLAS 5/3 12/17 13/10 5/8 17/9 1/4 14/7 4/8 5km 4/3 14/17 9/7 7/12 15/9 1/3 13/8 5/8 80km 14/7 4/9 14/9 3/7 22/13 1/2 23/16 2/3 CAL. SamebehaviorofGLASandCALIOP5kmvs Overoceanagreementbetween80%and84% Overlandagreementat5kmbetween84%and87%at80km75%/85% Cloudsat/CALIPSOScienceWorkshop,Madison,July2009
7 andcaliopcloudcover DifferencemapandComparisonatpixellevel 5kmDAY 5kmNIGHT OceanDay OceanNight 80kmDAY OT>0.2 80kmNIGHT LandNight Landday LIDAR GLAS 5/3 12/17 13/10 5/8 17/9 1/4 14/7 4/8 5km 4/3 14/17 9/7 7/12 15/9 1/3 13/8 5/8 80km 14/7 4/9 14/9 3/7 22/13 1/2 23/16 2/3 CAL. SamebehaviorofGLASandCALIOP5kmvs Overoceanagreementbetween80%and84% Overlandagreementat5kmbetween84%and87%at80km75%/85% Cloudsat/CALIPSOScienceWorkshop,Madison,July2009
8 GLAS CALIOPcloudtoppressureoverocean NIGHT October2003 7h30pm DAY 7h30am GLAS>0.02 GLAS>0.2 October2006 1h30pm 1h30am CALIOP>0.02 CALIOP>0.2 5km 80km Distributionsnormalizedbythenumberofsampleinthedistribution. Cloudsat/CALIPSOScienceWorkshop,Madison,July2009
9 GLAS CALIOPcloudtoppressureoverland NIGHT October2003 7h30pm DAY 7h30am GLAS>0.02 GLAS>0.2 October2006 1h30pm 1h30am CALIOP>0.02 CALIOP>0.2 Distributionsnormalizedbythenumberofsampleinthedistribution. Cloudsat/CALIPSOScienceWorkshop,Madison,July2009
10 Cloudcovertypesoverocean Foreach/CALIOPclassdistributionoftheCALIOP/classes CALIOP80kmOD>0.02 NIGHT Veryoftenbutnotallthetime(80%),thepartiallycoveredpixels aredetectedaslowcloud,lowcloudundercirrusorbythelidar. On another end, for a given CALIOP class, the frequency of partially coveredpixelsisatleastof10%.forthelowbutalsothemidlevelcloud this frequency is above 20%. The OT of the high only CALIOP clouds classifiedpartiallycoveredbyisbelow0.2. Cloudsat/CALIPSOScienceWorkshop,Madison,July2009
11 Cloudcovertypesoverocean Foreach/CALIOPclassdistributionoftheCALIOP/classes CALIOP80kmOD>0.02Night CALIOP80kmOD>0.02Night CALIOP80kmOD>0.02Day Cloudsat/CALIPSOScienceWorkshop,Madison,July2009
12 Cloudcovertypesoverocean Foreach/CALIOPclassdistributionoftheCALIOP/classes CALIOP80kmOD>0.02NIGHT CALIOP80kmOD>0.02NIGHT DAY 5km DAY 80km
13 minuscalioplowandmid levelcloudcover CALIOP5km CALIOP80km midlevel CALIOP80kmmidlevel DAY NIGHT CALIOPOD>0.02alllowcloud:lowcloudtopandlowunderahigherlaye r Cloudsat/CALIPSOScienceWorkshop,Madison,July2009
14 CALIOP80kmminus5kmlowcloudcover CALIOP5km CALIOP80km 5km CALIOP80km 5km DAY NIGHT CALIOPlowcloudtop CALIOPOD>0.02alllowcloud:lowcloudtopandlowunderahigherlaye r Cloudsat/CALIPSOScienceWorkshop,Madison,July2009
15 CONCLUSION(1) cloudcoverandcloudfrequencytypeshavebeencomparedwithoctober 2003GLASdataandOctober2006CALIOPdataforlandandoceannightandday dataseparately. ThesamebehaviourofGLASandCALIOPversusisfound. Thelidarcloudcoverislargerthanthecloudcover,excepted fordaytimeoveroceanforthe5kmlidarcloudcover. Goingfromthe5kmtothe80kmcloudcoverforCALIOP,averylargeincrease isfoundinthecloudcoveroveroceanduringdaytime. ThemeanlidarcloudcoverafterapplicationofathresholdonOTof0.2isclose fromtheone. Theagreementatpixelscalebetweenthe5kmlidarandcloudoccurrenceis above80%.forcaliopwhenaspatialhomogeneitytest()plusan0.2ot threshold(lidar)areappliedtheagreementisabove89%. ThelowerfrequencyofverythincloudsdetectedbyCALIOPat5kmoverland comparedtoglascouldbeexplainedbythedifferencesintheglasandcaliop algorithm? Cloudsat/CALIPSOScienceWorkshop,Madison,July2009
16 CONCLUSION(2) Highcloudsareclassifiedhighcloudbythelidarinmorethan80% ofthecases.lidarhighcloudswithot>0.2arerarelynotdetectedby. Theagreementformid levelcloudispoorandalsooverlandforlowcloud. Overocean,forthelowclouds,thelidardetectsalowcloudlayerinmore than90%ofthecases.thefrequencyofcirrusabovelowcloudsisunder10%. Nopressureareavailableforthepartiallycoveredpixels. Overocean,wherethefrequencyoflowcloudsislarge,inmorethan80%ofthe casetheycorrespondstolowcloudcoverorlidarprofil. Differencesareobservedbetweenthe5kmlidardatasetanddatasetin thesignandamplitudeofthenighttodaycloudcoverchange.inthe80kmlidar datasetthesignofthenighttodaycloudcoverchangeisthesamethanfor. Overocean,thebetterdetectionofsmallorbrokenlowcloudsoveroceanduring day timebycouldincreasethefrequencyoflidarprofilsdetected by.onanotherhand,thesnrforlidardataissmallerfordaytime datathannighttimedata. Alargeunder estimationoflowcloudsunderhighcloudsinthe5kmdataset comparedtothe80kmdatasetinthecaliopv2product. Cloudsat/CALIPSOScienceWorkshop,Madison,July2009
17 FURTHERWORK Thiscomparisonwillcontinuefurthertobetterunderstandthedifferencesobserved betweenthedayandnightdifferences. Inthenearfutur,intheframeoftheMEGHA TROPIQUESmissioninordertobuilt aconsistentcloudclassificationoverthetropicalbelt: ThesamecomparisonwillbeperformedbetweenGOES,MTSAT,and CALIOP. Usingthemulti spectralcapabilityof,theperformanceoftheretrievalof cloudcoverpropertiesaccordingtothespectralbandsusedwillbetested. THANKS TO ASDC(NASA) AND ICARE(CNES) FOR THE DATA PROVISION Cloudsat/CALIPSOScienceWorkshop,Madison,July2009
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