B-Argo profile 3.1 1.2 1950010100000020210107160013202604230756312902748 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_275 0423_siobio003_275 2B 2B RRRRRRRARRRAP41305-17CH001 P41305-17CH001 V3.01 V3.01 841 841 11 JtT@ JtT@n =@n =@)\0b@)\0b@11GPS GPS A Primary sampling: averaged [] Secondary sampling: discrete [] ̽>33? @ `@ @33@33@ @ffA A1A PA pA A ĄA̸A33A A33A33AB B B B $B ,B3B BCB33GB33KBNBRB VBffZBff^BbB hBmBffrBwB33}B̀BBffB̈BffB33BffBffB33BBffB BBffB B33B33BB̯B BBB BBB33BB BB B33BB33BffB B33BBffBffBBBffB BBB33B BB33B BBffBffBffB B B33BBff C CLCLCffC33CLCffCLC C
C C C3
C3CCfCfC C CfCC33C33CLCffCLCff Cff C33 CL CL C!C33"CL#C33$CL%Cff&C33'C33(CL)C33*C33+C33,C -C.C33/C330CL1CL2CL3Cff4C 5Cff6C7C8C39C:C CL?CL@CACBC3CCfDC33FC33GCffHC3IC3JCfKC33MCLNC OCPCfQC33SC TCUCfVC33XCffYC3ZC\CL]C ^C3_C`CLbCcCdC33fC gChC33jC kClCnC oCpCrCsCtC33vC3wCxCLzC{C|C33~CC3sCCfC3sC33CfCCLCC3C3sC33C̈C͌CLC3CfC3sC CٍCC @C C̐CffCf&C3C CLC CfCffCf&C C͌C @CٙCfCYC C C Cf&CٞCfC @C C CYCf&C٣C͌C @C CC33ÇCf&CfC33C͌C CC3CffCfC33CCC3sCfCffCfC3C33CCYC C C CCCYCf&C C C͌C33C D3DfDf&
D3 Df&DffDfDfFD3DYD D3S D !D$D&D )D+D @.D 1D 3D35D37D33:D3>A>0> >>>A>A>>x>]>x>]>>A>A>>A>}>0>A>0>>A>4>>>0>4>>>>x>x>>>0>}>A>Qk>x>>>4>$(>>$(>$(>}>O?| ?| ??| ?Qk>0>| ??Qk>O?| ?$(>}>Qk>O?| ?| ?| ?}>$(>}>| ?$(>| ?$(>Qk>| ?| ??>| ?$(>$(>$(>Qk>| ?| ?O?>$(>| ?$(>| ?}>Tt$?| ?$(>>| ?Qk>$(>}>}>0>0>x>>>Tt>Tt>>Ϊ>>_>g>=>_>_>$(~>}v>4o>ZB>I>ZB>g3>g3>H:>g3>g3>g3>+>+>ZB>Tt$>+>Tt$>> >_>>$(=$(=$(=_>A=A=g=g=Tt=Tt=Tt=g=========4o==4o==4o======Tt==Tt===4o==4o==4o===4o=4o=4o===g3=6>9>s@>z$0>6>g3>9>9>6>C>0=>C>0=>g3>9>9>9>M>s@>9>s@>6>9>F>6>6>s@>F>6>g3>6>C>C>6>6>s@>M>9>P>C>g3>F>T>T>T>M> ]>IW>IW>Z>IW>P>s@>IW>Z>P> ]>IW>T>M>P> ]>IW>IW>IW>M>T>M>IW>T>IW>T>P>IW>IW>Z>IW>T>T>T>P>IW>IW> ]>T>IW>T>IW>M>s>IW>T>IW>P>T>M>M>s@>s@>C>W[&>K#>>>m=>ea=6U=>}=6U=6U=<==0=K= =4= =======y=y= =}w=y=}w= ]=Nj=P=C=6=6=6=P=4 =4 =N&:>>:w :+ :?&::4 :: :::!;:}:, ::\ :*:1':_ :w :#:::M :w :#:f&:%, :}:w :x59T :%}:|:A%:o:F 9i(':9 9hM9U9%;9D9@999|9$9C9\9-Z99-9 :
9GG9\99`P9e999P}9949ep9F9U9b9GUp9T}9GQ:
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G9/o9&U9k:9qb9U9,9I:9G9n U9_99>C:9?A:9=:99:9mOb9_,9 G9,9,9 ,9G9,:9|9,9,9):9,9p?b9,9;b9T9,9T9s:9AtG9:9:9]T9Z,9,9T 9jR 9Ȭ,9:9,9yo9:9~,9P9+9999< 9,9,9999q,9m,96 95 9q,9v9,9,93 9,993T9"FG9,9,9@G9w,9,9" 9!},9 9 2G9v,9.G9#T999o,9 9 99=8o9 9 9Z,9V,999N,9G9 9;bT9^aT9I`T9]H,9s99o9ޡ99ZT9l99Z99Xa9RT9yF9|999o9h 9EF9G99 99$,9>9F9F9F9a9>,9kF9m99j99h99w 9za9],9n9գ 9F9+9 9&|9
+9 T95:dea9=F9T9+9~Ø9n9 99S9qn9`89E9m9i 9eR9nR9-_9)9fD9vQ9X^9BGQ9MC^9]9j9359fO9A9'9f#4939t[9%9*29.29Y9.>9w>94Y9K9X9K9=X9c=9]"9 /9<9pW9<9{=W9I90I9UI9;9%I9 ;9fc9zP;9!-9?-9$-9B-9 9
:%-9o:9G9[,9,9S 9,9qEz:q9 0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000OGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOG OGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGPRES 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 = 2.2917 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 20260423075631 HZ HZ HZ HZ OGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOG JtT@ JtT@