lB-Argo profile 3.1 1.2 1950010100000020190215200007202604230742572902748 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_061 0423_siobio003_061 2B 2B RRRRRRRARRRAP41305-17CH001 P41305-17CH001 V3.01 V3.01 841 841 11֮1@֮1@&1 A@&1 A@K7A@c@K7A@c@11GPS GPS A Primary sampling: averaged [] Secondary sampling: discrete [] ̽>33? @ `@ @ @@ @ A A 0AffNA pA A ĄA A A A A AB BffBff Bff$B ,B 4B;BffDB LB33SB[B dB lBfftB|B B33B33B33B33B B33B B̡B B B̭ḆB̵B̹B BB B B33B B33B BBBB B B B33B B B CfCfC C Cf
C
CfCfC CfC C C Cf C C !C#C%C 'C)C+C -Cf.Cf0C3C5C7C 9C ;C =Cf>C AC CCfDCfFCfHC KCMC OC QCfRCfTC WCfXCfZC ]C _C aC cC eC gCfhCkCmC oCfpC sCuC wCfxC C CC͌C3sC͌C͌C CffCC3sCffC C͌C͌C3sC3sC3sC C3sC͌CC͌C͌C C C Df&D3D @D
D @
DD9DD9D DL D D @!D#D33&D3(D @+Df-DL0D2DfF5Df7DfF:D CL?C3@CBC33CCDCECfFC33HCICJC33LCMC3NCPCffQCRC TCffUCVC XCffYCZC \Cff]C^C `CffaC bCfcCLeC fCfgCLiC jC lCffmCnCpCqCrC33tC3uCfvCffxCyC {Cff|Cf}C C33CfC͌C @C3CCLC C3sC3CffCنCYCهC @C C @CCCC C͌CfCLCٌCYC C @C̎C33C3C @CfCf&C3CCCf&CC CC C C3C3sC3C3sCfC3sCfCYCfCYC CLC C33C C33CCf&CC C C3CffCfCffC̡CYC3Cf&CfCf&CCC͌C C͌C C C C͌C C C C C C͌C CCCٱC CٻCf&C͌CC3Cf&CfC C͌C33C CLCfC9 DLDfDDff D DLD DLD D DfDl DY!DL$D33'D3*D,Df/D͌2Dy4Dy6D͌8D :D>>Z>Z>Z>Z>>>>>>Z>>>Z>>>>h>>>h>>>>h>h>Z>h>>h>>>> >>>>>>>>A> >>>A> >>>]>>0>>>0>]>x>]>A>]>>>4>A>x>]>> >>>>]>x>>A>>x>A>A>0>0>A>>A>>0>x>A>A>>A>>>A>"l?]>x>>]>x>4>x>]>A>]>0>>]>>0>]>x>]>}>4>>x>]>>A>]>A>>A>>]>>>0>>0>>]>x>0>]>A>0>>0>A>>>h>0>]>A>>]>oO?A>>> > >A>> >A>?A>>A>A>>>>>0>x>0>A> >>Z>H>Z>Z>>t$>H>t$>H>g>Ϊ>Ϊ>H>t$>>_>}v>}v>A`>ZB>ZB>ZB>I>ZB>Tt$>>_>$(=$(=Z=>_>>$(=>>>$(=$(=>_>>>$(=>>_>_>>>>>_>Tt$>>$(=>_>_>$(=4=$(=>$(=$(=$(=4=>$(=$(=$(=$(=>$(=4=4=A=4=4=$(=_>_>$(=>>> >> >0g>>> >> > >Tt$>Tt$> >Tt$>+>_> >Tt$>>>A=Tt=g==4o=4o=4o=4o======g3==g3==a>a>Z>Z>Z>Z>a>h>a>h>a>Z>a>h>Z>S>a>h>o >S>h>o >a>h>S>o >o >Z>o >a>v >o >a>S>a>}">v >(>(>(>%>v >v >%>%>(>+>}">(>(>+>}">a>(>.>%>1>:>(>1>.>4>.>+>.>(>(>7>+>4>.>(>}">%>%>%>.>4>%>+>(>4>+>+>1>1>+>(>+>%>1>4>+>+>(>+>%>(>+>S>.>4>(>.>4>7>4>.>+>.>1>(>.>(>1>.>4>.>=>7>%>4>.>(>+>.>+>(>+>%>.>(>%>1>%>1>(>.>4>1>.>+>1>%>1>+>(>%>o >1>.>+>%>v >.>}٢>+>(>v >%>}">v >}">+>%>}">+>
J>+>%>+>+>%>(>(>%>1>4>1>+>}">v >a>Z>L
>Z>Z>S>E
>L
>E
>L
>>>7>7>L
>E
>0>===}٢=E=E=E=S=E=2e=M=A=(=(=5B<7= :@ :Wn:" :" :t:y#:s:s:`-:y#:; :e-:t:jX:&:[n:t::Xn:Pn:
:s:-4:t::[ :KPp::2.4:n:" :t : :&i:: :@ :h:h:z" :N :vn:z :n:j&:n:t: :̅7:t::t:^i:o: :K:t::o:t:(*: :tz#: :S: ::t: o: : :@# : :qi:v9B# : o:!o:b: : :X# : :\: :t: :K-:::o:z#:&:.4:z#:_o:&:: u:-:-: :> :f ::ro:i::: :R)*:> :# :o:z#::G :G :o::v9:: :&:\ :
:b :ك: :% ::# :% :o:o:N:4>::o::-:Pu: :Wu:-::;{#:o:j :i:/: :~)*:0/4::o::: :S: i:[:u::N :D:: :O{#:O{#:)*::R :|u::-:n:m# :k:i:u9/: : o::o:o:Ri: ::'*:9a9%
:c:y-:\9[99G9GA9/_:E9Į9dڳ99}:x9w9Wv99ҳ999 c9~b9y9/9|9;|99Bo9g9X9 9ħ9m`9
9S9v9A 9=t9t99E9r9r9-r99p9c999F:*v9t9P9 :9
I: ::!:x9:K:Y9rF:F:@:?::::ݦ&:q9C:Д::N:[9
S-::9@::{::::> :B: f9 : ::
:/c99l: :<::
9:3:2::j:: :@#::m4:g.:D:79:99o:,:8:91:):ocs::Z :$: : :::92 9O99oZ9799ւ9m9U.9q999m9 999o9ׁ9
9Ƌ91u9W:K9vft9/f9G9e599bnX99ɄJ9Vd9W9qoW9I9q'W9}^d9rI9V9~99&q9YV9H9Ec~9Bp9~9.c9ZU9>U99p9 p9o9G9 000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000OGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOG OGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGPRES 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 = 2.4787 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 20260423074257 HZ HZ HZ HZ OGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOG ֮1@֮1@