PB-Argo profile 3.1 1.2 1950010100000020180914110045202604230740352902748 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_023 0423_siobio003_023 2B 2B RRRRRRRARRRAP41305-17CH001 P41305-17CH001 V3.01 V3.01 841 841 11 Ozex@ Ozex@M2@@M2@@`"ۡb@`"ۡb@11GPS GPS A Primary sampling: averaged [] Secondary sampling: discrete [] > ? @ `@ @33@33@@ffAffA1AQA pA33A ĄA A A33A33A AffB B Bff B $B ,B3B;BCB LB TB \BffdB lB tB |B B B B B B33B B B33B B33B33B B B B33BB B B BB B33B33B B B B33B B B B B C CfCfC C C
C C CfC CC C C C Cf C #C%C'C)C+C -Cf.C 1Cf2C 5C 7C9Cf:C =C?C AC CC EC GC IC KC MCOCfPC SC UC WC YC [C ]C _C aC cC eCffC iC kC mC oCqC sC uC wC yC~CffC3sCC͌C C3sC3sC3sCCC C C͌C͌C C3sC3sC͌CfC CffCYC C3sC C D33D D9D
D9
DDfFDfD9DͬD33 D D9!D#DfF&D(D @+D -D @0D32DY5D 7D @:DfB@BBBEBHB LB PBSBVBZB^B bBfffB33kBoB tBxB33}B BffBffḂB̉BB BffBffB̔B B̘B33BBB̡BB̤B33B̧B33B̪B33B33B̮BffB33B BB B B B̼B̾BBBBBB BffBffBBBBBBffBBffB33BffB33B B B B B BffB33BffBBffB33BBff CC CC CfCC C
C C3
CCffCC C CfCfC C C33C CC3C C33 C C C3 C CL CL!C33"Cf"Cf#C$C%C&C3'C (C)C3*C3+C3,C-C.C 0C1C 2C333Cff4CL5C 6C7C8C39Cf:C C ?C3@CfAC CCLDC ECFC3GC IC JCLKC LC MC3NCOCfPCRCLSCLTC UCVCWCYCLZCff[C\C]Cf^C33`CffaC bCcC eCfCffgC3hC3iC kCfflCffmCnC33pCLqC3rC tC33uCvCfwCyC zCf{C}C ~CC3sCf&CفC3sCC̃CYCC̅CffCf&C CffCCىC3sCf&CًC3sC33C3C͌CLC CfCYC CfCLC̓C33CfCC C C CfCffCٗC33C3C33CCCC C C CffC3C3sCٝCLCٞCLC̟C @CfC33C3CCCC͌C C C3C C CffCfC3sC٧CLCfCLC CLC3Cf&CfC CffC3C CYCٹC CLCLC C3CC3CCCfC @CfCCfD3DfD3
D `
DDffDLDYD3D D D3s DL#D &D3(Dͬ+Dff.Df&1D33D 5Df7D:D͌A=A=$(=$(=A=4=$(=4=$(=$(=>>_>g3>Tt$>+>H:>g3>g3>Tt$>+>H:>X>A`>A`>A`>I>I>I>X>X>A`>0g>}v>4o>Ђ>J>J>_>Ђ>}v>Ђ>}v>>J>>>3đ>>>g>Z>A>A>0>>?? ? ?p_?3?mVm??N?ḓ??c?x ?ٞ?ٞ?h?-?+?W[?x?@q?}v?I?d-? ?_?Qk>$(>| ?$(>O???"l?( ?O?| ?"l?| ?O?$(>O?( ?_?J
?( ?O?"l?}>$(>>}>Qk>0>]>?]>>Z>=>=>=>Z>>Z>g>>'1>'1>>>>>0g>A`>I>H:>J>+>Tt$>Tt$>Tt$>+>Tt$>>>4=4=4=A=4=A=4=A=>_>4= >$(=>$(= >>Tt$>Tt$> >+>+>+>Tt$>g3>H:>ZB>A`>0g>A`>}v>}v>}v>0g>X>0g>A`>A`>H:>H:>g3>g3>+>>>Z=g=Z==Z=> > -> :> :>v@> qJ>̟q>'x>=>f>Z~>t> q>/2>?a?
?- ?t?_R?_R?wk>=?̟>><>>ښ>.l>>=>[n>P>W>v^>ZLa>ZLa>=d>k>v^>W>=d>W>v^>v^>k>[n>!g>k>v^>=d>M> qJ>M>P>v@>a=>Z>a=> qJ> >'='='= > > >>X# >X# >>Z=̟==ٶ=R== =v=='x='x='x=='x=YC=v^=<)=<)=<)= =<)= =<)= = == =<)=6=6=P=v^=P=<)=k=6=v^=6= =6=<)=YC=k=v^='x='x=k===='x=X#= =2=uB=R=ٶ=R=Y=Y=Y=ٶ=<ʩ=ٶ=R=R=uB= = =X#=X#==v^=YC==< == = =<)= = = ==<=P< < :B:TI&:I):FD#::I,:J/:E):9: ;: B&:A&: xz:H?#:sF/:C,:I5:RD:A,:B/:.D2:TI;:A2:MG:mSS:LJ:1VY:DA:NY:N\:=IY:M:Oe:Ne:Q/:z0:,Pn:qOn:Vz:=V:sA_:_7S:5S:: 9x9+9O 9!99d:9P7:x9K9999X
999 9"9/99|999Q99#99H9 99e99 9 99?999&9:j9H۴9DÐ9+ծ99Ɯ9999YȢ99Ƣ999R9-99~99>98Y9;9\93Y9V)M9F-Y90e9e%Y9:}9G)9.q9
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A9Y9VM9` e9e99A9M99M9e9 }9@949}9}949NL9 X9e9(9vX9۸9](9L(9(9@9Y(949d98|9?d9499~9UX9y}9PX9՚9%@9R@9L9@9 949L9(9L9گ49_@9t9@9)d9@9.49@9@9499@9fd9@9#L9!i9@9@9X9@9ڕ9p949ڙX9_X9ǥp9X9p9l90X9:@9X9|9^Y9"l(96|9؎d9td90NL929h*X9 X9]9c93o9Ӝc9uW9i{950c9J9z9ZvJ9?J9n9U9cI9Km99l9og9!P`9 9%k9|lG99MR9_9M<^9%^99v^]9589~89PC,9$=\95h9C9{+9UC9F[9B9Z9N9YB9A69S669 N9M9M9v)9V 9< 9p(A9O,Y9 9(9 9(9̐49k(9e@9f:&49 000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000OGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOG OGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGPRES 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 = 2.2894 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 20260423074035 HZ HZ HZ HZ OGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOG Ozex@ Ozex@