B-Argo profile 3.1 1.2 1950010100000020200517200006202604230753322902748 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_228 0423_siobio003_228 2B 2B RRRRRRRARRRAP41305-17CH001 P41305-17CH001 V3.01 V3.01 841 841 11@G;%@@G;%@ˡE]>@ˡE]>@Zd;Oeb@Zd;Oeb@11GPS GPS A Primary sampling: averaged [] Secondary sampling: discrete [] ̽ ? ? @ `@ @ @ @ @ A A1A PA pA A̘A A̸A A A A AB B B B#B+B3B C3?C@CfACCCDCLECFCGCHCJCKCffLCMCNCOC33QC33RCffSC3TCUC WCLXCLYC ZCf[Cf\C33^C _C`CaC33cC33dCffeC3fCgC iCLjCffkC3lCfmC oC33pCffqCrCsC uCvCffwCffxC yCzC |C}C ~C3CffC C CLCfC͌Cf&CلC C C CffC3CfCffC3CCLC3CfCYCfCfCffC C3C3sC C C3sC CٔCC33CfCfC @C3CfC @C C CYCC̝C3sCf&CfC C @C3C͌C33CfC C @C3C͌C @C3C C33CfCfCYCYCYCC CC CC C @CYCCfC3sC3C CDYDLDfF D ` D3
D3DffD3DlD Df D Dy!Df$D&D @)D+D3.Df1Df4D7D ;Df=Df?DADͬCDEDGDfFJD3LD9ODfQDTDWD͌ZDf]Dy`D `cD @fD3shDljD3slD3nDfpD3sD uDfFwDOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOG |B tB |B tB xB xB xB xB |B xB |B tB xB xB xB xB |B |B |B |B xB tB |B |B |B tB |B |B xB |B |B xB |B xB |B tB xB xB xB |B xB xB B xB tB xB |B |B |B |B xB B |B |B |B |B |B |B |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 +C AC :C 6C 1C (C /C 9C DC OC QC [C FC 9C HC AC ?C JC LC `C ^C `C sC nC ZC yC fC rC ]C C WC ZC ^C OC LC XC JC CC NC ^C FC pC DC $(=>>>g3>I>+>+>+>Tt$>+>Tt$>g3>+>+>H:>g3>ZB>H:>I>ZB>$(~>_>_>3đ>>=>>>Z>h>"l?0g?"l??I|?r? b?4o?|?9??p_??+?|??"l??Ԑ?h?c? ?c?t$?lx?Kȟ????5?ꕢ?H??Kȟ? ??h??Ԑ?J?ё? ?+?V?9??Qkz?|?\?x>'1>>>J>_>$(~>Ђ>Ђ>=>$(~>$(~>4o>4o>J>4o>A`>J>X>H:>I>H:>I>ZB>H:>A`>0g>Ϊ>>>=>A>>>_>3đ>_>Ђ>$(~>}v>ZB>H:>H:>Tt$>Tt$>Tt$>>_>>4=?!> >Ʋ'>la>M >Е>=L>>>E>|>r>3l>(>F1 ?AA?ʥ>r>b>Е>8\>>R>>I ?r
?>I ?͚?В?r?1q ? ?h? ?wQ??r?r
?(>R>?>g>(>r
?ʥ>/?3l>Յ>C<>r>o>>В>|>3lk>2h>la>d>H,K>A>r>r
>(==L=l==e=e====S =S ==L=S =%==L=Ʋ=
=h̚=
=h̚=9Y=
=%=$=
>(= >=7>r
>(=l=2=l=e===9Y=
=
=u=u=u==L[=eN=A=Ʋ'=
= = =2<Ʋ'=e:7:$-:#-:7 :7 ::V::ZC1: -::::) :7 ::( :ܔ*:4:7 :m#:7 :Cj:) ::42:Y#: :2:2:%#:6:v:*:7 :s=':K: ::1:::x;'::b:-:*:+:ۇ :
:/ :4:w3':61:*7:.1:+1:3E:"}4:(A:p*:u>::Ц:uR::J :A9:C9J:#:
:<:0:_:#:&: :#:ם#:K::ZH:=ZH:-}: A:#O:7:w:_\:]\:Ms::>:::>v:l::r:ɒ::x:c:N::N:S=::o ;l7::: :$:3:6:}:X^::":߃::S;s:%}:N:x w: b: Uf:Gf: :0#:0:-:=>:;D ;v:p::.s:_:Dž9 :|(9 9j;#9'9* :'9;p::$9{:$99&9Q999Z9w%9.*:_&:t:B :-:&: :s:m:as9m: :*~9r9E9$:9(=H:kl:(l:99X:9W9g9b9_ 99
9-:]K9|;H:9觺9S969o9U9n996I9=9G90:9VH9}9>9r9989@9N9zB9l99A99_ً9 69@97؋999949999`9i9B9y2999 929299zߟ99_ݟ99۟91H:ٟ9R9c)9ˋ9ʋ9ɋ9Ns:,99|9r99 m;i̟9 9=99
9г9`
9I9(9?93|9 _99wK:9(X99r`999|999|9'o9,lT9
G91#o999a9^9z|9uaT9o9 G9F99o9VT9o9?9Qa9
o9|f|9?a9a9o95n9T9=T9n96T92T9vn9.F|9D|9@a9sa9n9a9{99&`9|{9A`9E9U89&`9!R9Zm99D0:d96C9C9#WC9E9B9aaB9tO9u49s\9+N9 A9@9<39 u9!@9?959@?9[t9>99_f9f09!&K9=9S=96=9߮/9 W9خ<9I9 !9 9 V9SI92I9X.9+@.9;9]V9U99-9Lp9t:9w:9"G9Eo9o9U9 00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000OGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOG OGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGPRES 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 = 2.3179 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 20260423075332 HZ HZ HZ HZ OGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOG @G;%@@G;%@