B-Argo profile 3.1 1.2 1950010100000020210318160013202604230757242902748 2902748 PROVOR PROVOR CHINA ARGO PROJECT CHINA ARGO PROJECT FEI CHAI FEI CHAI PRES FLUORESCENCE_CHLA CHLA BETA_BACKSCATTERING700 BBP700 PRES FLUORESCENCE_CHLA CHLA BETA_BACKSCATTERING700 BBP700 ! ! AAHZHZ0423_siobio003_289 0423_siobio003_289 2B 2B RRRRRRRARRRAP41305-17CH001 P41305-17CH001 V3.01 V3.01 841 841 11 ief@ ief@Pn<@Pn<@tb@tb@11GPS GPS A Primary sampling: averaged [] Secondary sampling: discrete [] ? ? @ `@ @ @33@33@ A A 0A PA pÄA A A A A AA A B BBB $Bff,B 4B;B DBffLBffTBff\B dB lB tB |B33B B B̍B B̕B̙B B33B B B B B B B33B BB B33B B B B B B B B B33B B33B33B C C C C C Cf CC CCCCC C C C !C#C %C 'C )C +C -C /C 1C 3C 5Cf6C9Cf:CfC?C@CBCLCCLDC EC3FC3GCfHC JC KC33LC MC NCOC QCRCffSCTCUCWCLXCLYCZCf[Cf\C33^Cff_Cff`C3aC cCdCffeC3fC3gCfhC33jCLkC3lCfmC oC33pC qCrCfsC33uCffvC3wCfxC zCL{C|C3}C Cf&C3CffC CfCLC3C C33CمCYC C3CLC3CC33CfC͌CČC C C C3sC C3CffC3CCLCfC͌C @CٕC͌C @CٗC͌C33CٙC Cf&C̛C3sCf&C CffCCC C CfCLC Cf&C C3CffC̣C @C3Cf&CC C C CffCfCffC C @C3Cf&CCC͌C CC C3sC3C3sC3C CCfCf&C3CffCffCC C33CC3sC3C CC3 DYDDD3 Df D DD9DlDDYDDy D3 DfF#Dͬ%D3'Dl*D-D/Df3D336D `9D A`>A`>0g>A`>0g>4o>X>0g>0g>A`>A`>A`>4o>0g>0g>X>0g>A`>4o>A`>0g>0g>A`>X>0g>A`>0g>}v>$(~>4o>Ђ>4o>A`>0g>A`>Ђ>>>Ђ>3đ>J>$(~>Ђ>}v>Ђ>>Ϊ>Ϊ>A>>A>4>C ?( ?( ?"l?Tt$? F5?ZB?|@?yV?F?>?ZB?H:?"?+? F5?t$7?t$7? F5??K?X9D?I?+G?K?hM? U?yV?X?A`?,S?i? c^?J??X9D? U?mVm?oO?+G?>?d-?71?'1(?ZB?"?=?"?C ? ?C ?3?_??H:?( ?X9D?J
?>x>]>>]>A>A>>'1>_>}v>+>g3>H:>+>I>ZB>I>H:>+>+>Tt$>Ђ> >Tt$>g3> >>I>0g>0g>0g>X>A`>A`>X>X>ZB>ZB>g3>Tt$>+>H:>Tt$>g3> >_>>>Tt$>> >>Tt$>> > >>_>_>4=$(=>4= >>>$(=$(=>$(=4=$(=4=4=4=_>H:>4=$(=$(=4=$(=4=P3>y9>y%>y9>#F>.>Sj>Sj>c>Q>>Z>O>NA>>>Z>؝>>Ӑ>>d>d>>$y>$y>d>d>:V>:V>>}>y>9ݪ><>}>d >>NA>>8d># >#>ü>>_>}>}>>>Q>>P3>P3>>y>>M>><>>zt>>>Z>>>>.>;σ>.>vt>!m>Lp>؝>Sj>y>g>MI>EC><># 3><>y9>y9>7 >>=E=.==P3=.=7==7=P3=.=.=Xw=J=Sj=Xw==Sj=LO]=7=NA=NA=NA=<===<=<=O=O====Xw=.=P3=Xw==Sj=JP=LO]=LO]=Xw=LO]=Sj=LO]=Xw=LO]=Sj=Sj=LO]=JP=JP=<)=NA6=EC=<)=Sj=P3=.=<)=P3=P3=P3=<)=7 =<)=<)=NA6=<)=<)=<)=EC=EC=EC=NA6=NA6=EC=NA6=<)=NA6=<)=<)=<)=JP=P3=<)=NA6=NA6=<)=NA6=<)=P3=J:;:%w:֏::w:Y= ::i;:` ;: :9 :7::d3:3:xI*:_::#Y9@:Ե99 :99n7:1:k7 ::H*:^;1:: :C :@:&#::I: ::u9
:6 ::A96 :E:s0::f#:E:$:90:J9^7:9 :T9U9:U96 :#:9A:D0:R::I9a9J9ɚ999f99/T9999 9^999n9yF9ݺ9B99O:9Ҧ9v9 :3 :<9U99,9n999W-99<9Ī999<9#:b@9x949օ9v99>9 m929ڤ9l:l:14:T/9.9 c:99%Ŧ99 9)~9~99æ9'9_ 99'κ9{9{91o99o9?93939999.9
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9_99t9^.9a::h9h9~9O!9ú9 99c999(b9a9 :`9z:Y9O 9(9H 9xs:9[9mO91Z9:d9/Y99X9F9b9\9a9J9ű9H9S9G90:F995#9 e09=9R=9/9Ƈ9'W9o/9J9:/9II9.9Z[!9=.9!9 9.9K 9WU9U9 9K-92;-92-9w 9 00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000OGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOG OGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGPRES FLUORESCENCE_CHLA CHLA BETA_BACKSCATTERING700 BBP700 PRES FLUORESCENCE_CHLA CHLA BETA_BACKSCATTERING700 BBP700 Adjusted values are provided in the core profile file none none none none none none CHLA_ADJUSTED = CHLA_NPQ for PRES in [0,ZMaxFluo], CHLA_ADJUSTED = ((FLUORESCENCE_CHLA-MEDIAN(PRELIM_DARK_CHLA))*SCALE_CHLA)/PHYSIO_RATIO otherwise none none none none none none none none none CHLA_NPQ = [], ZMaxFluo = [], PRELIM_DARK_CHLA = [50,50,50,50,50], SCALE_CHLA = 0.0073, PHYSIO_RATIO = 2.2968 none none none none none none none none none CHLA real time adjustment (specified in http://dx.doi.org/10.13155/35385 and computed with MLD_LIMIT = 0.03, and following recommendations of Roesler et al., 2017 (https://doi.org/10.1002/lom3.10185)) none none 20260423075724 HZ HZ HZ HZ OGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOG ief@ ief@