B-Argo profile 3.1 1.2 1950010100000020210524064700202604230739132902748 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_001 0423_siobio003_001 2B 2B RRRRRRRARRRAP41305-17CH001 P41305-17CH001 V3.01 V3.01 841 841 11`Rf@`Rf@%C@@%C@@"zb@"zb@11GPS GPS A Primary sampling: averaged [] Secondary sampling: discrete [] > ? @ `@̌@ @ @ @ A A 0A PAqA A A A33A AA33A A B B Bff B#B+B 4BffC ACCC ECfFCfHC KC33MC OCfPCfRC UC WC YC[C]C _Cf`C cC eCffC iCfjC mCfnCfpCfrC uCwC33yCC͌C CC͌C3sC C C͌C3sCffC CC C͌C͌C͌C3sC͌C3sCfCC͌C͌C͌C C D33D DfFDf
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DD @D DLD D33 D D @!D #DL&D3(D9+Df-D90D2D @5D7D @:DBBBffFB JB NB RB33UBXB33]Bff`BffdBffhBkBoBrBffvBffzBff~B̀B̂B̄BffBBBffB̎B̐BffBB̖BB B33B̞B33BffBffB B B B33BBffBffBffB33BB B̾BffBBB33BBB33BBB33BBB BffBB BffBB BffBffB BffBffB BffB33BB CfC33C CffC3C C C33
C C C
CCCffC3C3CC33CffCCfC C33 C C C C!C33"Cff#C3$C3%Cf&CL(CL)C*Cf+Cf,CL.C /C0C 2C333Cff4C5C 7C8Cff9C3:C;C33=Cff>C?Cf@C33BCffCC3DC FCGC HCIC KC33LCMC3NC PCffQCffRCfSCUCLVCWC YC33ZC [Cf\C ^Cff_C3`CfaCLcCdCeCgC hC3iC kC lC3mC oCffpC3qC sCfftC3uCwC xCyC {Cff|C}C C @CـC͌C33C C C33C̄C Cf&C̆C C33C CYC̉C33CfCC͌CfC3sC3CLCٍC33CfC33CfC CCC3sC C CfCffC3CYCfC3sCfCffCfCffCfC3sCfC C C3sC CC CfCf&C3C @CٞCLCٟC3sC3C͌Cf&CC33C̣CLC٤C3sC3C͌C33C3CLCfCffC C C C C3C3sC33CfCfCYCf&C CYC CfC3C @CfFD3SDYDL
D9
DͬD3DD D D3SDf& D !D $Df&Dͬ)D3s,Df&/D31D4D3s7D3S:D3D3@D BDf&EDffGD IDKD @NDPDfFSD3UD XD9[D ^D3`D cD fD3hDf&jD `lD nD pD,sDyuDwD3zDOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOG tB tB |B tB |B tB xB tB tB tB |B tB xB tB xB xB tB tB tB |B tB xB |B tB tB tB xB tB xB xB xB pB tB xB xB xB tB tB xB xB |B xB B xB B B B B B B |B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B C C #C 5C 7C 7C 4C >$(=$(=$(=4=>$(=_>>$(=_>g3>A`>X>$(~>$(~>$(~>Ђ>>_>J>=>$(~>>>=>Tt>Ϊ>'1>>Ϊ>>>H>>>>h>>>]>4>Qk>| ?( ?H:?F?X?Qkz?$(~?$(~?x??|?W[?9?J?O?"l??x?@q?e? c^?yV?yV?K?>?|@?H:?+?*? ?"????_??>0>>>>]>>h> >h>>>>>t$>>=>3đ>J>Ђ>_>A`>X>X>>H:>H:>g3>Tt$> > > > >>_>4=/=5=>/=GH=;=>/=>/=>/="=;=>/=GH=;=>/=GH=?o======G=?=====?=?== N > >?o>?x > >5>?x >>5>5>5>">?x >_ >?5>>>GH>?N>Pa>Ɨ>)>ϰ>>>> i>>/>P> r>>/~>o>> i>&>û>?>>>>>ۥ>>?x>Ɨ>B>>ށ>?o>p>p>?g> rd>W>B>_8> ,> ,>B>?5>>/>">(>">_ >?x >?x >_ >>Y==P==G=====?===?o=m=Pa=Pa=Pa=Pa=T=GH="= =P<5<5:;:':j-:.7:Ա-:Md>:51:_::o\:W4::T4:N0: ;:P4: A:vE:-:O4:B::: K:oc\:g-::::' Y:VU:df:Y=:>w:p:9:|;:8:::,Y:: ?:y:w:ys:MR:ޙ:ѢU:JR:i: :DH:}>>:IR:M0:::74:&:%74:" :* :&:{:6: D:&:":@' :j :r:k:w-:p 9t: ::-:i:P9n:$t9 :9g:99:X99D9999m:/89:9釦9XL9)9N9@(909=&9v9a9O9xr9q999z93ֳ9c9%9$9j99"999Dޜ:9O999& :|9Q99C9'999m9g99S9No99x >:ȳ99o$9^99?9 9˹9,9[99[9^ 9< 9ri:99p9Ԝ|939jY9O9e|96929V|99E9&)99|99x 9pb9 |99.9 9|9<9a9ɕ|99|99
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A999/9979؎9G9ބ9ބ99 29;:a)999l9W9n9u9E99L9Ҟ99B9s9Ŭ99d9v,939 l9w999&95 ^:v9Uv9D v99A1
:)u9˺t9˔9d:Cs9z19_9e9LX9e9"9Z_9W9EVr9#r9RS9>q9Ud9>d9Q{999l9/c9).9p990c9~tp9~99=p9p9 p9 0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000OGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOG OGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGPRES 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 = 2.3887 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 20260423073913 HZ HZ HZ HZ OGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOG `Rf@`Rf@