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 VB-Argo profile                  3.1 1.2 1950010100000020220824130138202604230307482902857 2902857 PROVOR                          PROVOR                          CHINA ARGO PROJECT                                              CHINA ARGO PROJECT                                              FEI CHAI                                                        FEI CHAI                                                        PRES                                                                                                                                                                                                                                                                                                                                                                                                                                                            PRES                                                            FLUORESCENCE_CHLA                                               BETA_BACKSCATTERING700                                          FLUORESCENCE_CDOM                                               CHLA                                                            BBP700                                                          CDOM                                                            5   5   AAHZHZ0550_siobio006_053              0550_siobio006_053              2B  2B  R      RRRRARRRAP41305-17CH004                  P41305-17CH004                  V3.01                           V3.01                           841 841 11@Tv`@@Tv`@f94F@f94F@Jc@Jc@11GPS     GPS            A B  Primary sampling: averaged []                                                                                                                                                                                                                                   Secondary sampling: mixed []                                                                                                                                                                                                                                          L   ??ff&@  `@  @  @  @  @  A  A  0AffNA  pÄA  ĄA  A  A  A33A33AB  B  BB  $B  ,Bff4B  <BCB  LB  TB[B  dBfflB  tB{B́B  B  B33B  B  B33B  B̡B̥B  B  B  B33B33B  B  B  BB  B  B  B  B33B  B  BB  B  B33B  B  Bf CfCfCfCfCf
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C  CffC CCfCLCffC3CCCLCC3C  CCffCCf CL"Cff#C3$Cf%C33'Cff(C3)Cf*C33,Cff-C3.Cf/CL1C 2C3C  5Cff6C7C  9Cff:C;Cf<C=C>C ?C @C33ACBCfBCCCDCECffFCffGC33HC33IC  JCKCLCfLC  NCNCfOC3PCQCRC3SCTCUC VC WCffXC YCffZC [Cff\C ]C3^C_C3`C3aCbCcC  eCfeCgChCLiCLjC kClCmCnCpCqCffrC3sC3tC  vCwCLxCffyC3zC{C}CL~CCYC  CC @ĈC CC C3sC  C3C @C3C C33C̉C CC CYCCfCYC3CfC @C3CfC @C3C͌CLCLCLCYC3sC͌CCCfC͌C C͌CCC @CC͌CYCYCC3C3 D DYD33	Df&D3DDfDD3D  D3s D "D3$D &D(D9+D3-Df0D32D,5Df7Dͬ:D =D `@DLCDfFFDYID3sLDND3PDRDTDVD3YD @[D3s]Dͬ_DfaD  dDYfDhD jDmDYoD qD sD,vD wDOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOG D D D D D D `D D D D  D D D `D  D  D D  D D D D D  D D  D D @D  D D @D D  D @D `D  D  D  D D D D  D D D `D  D @D  D `D D  D `D `D D  D  D D D D D `D  D  D  D @D D  D `D D D D @D D @D D D `D D `D D D hD C  C  C  C  !D @D C  C C  C  C  aC  [C  UC  RC  BC  AC  DC  CC  ;C  .C  C  C  C  B  C  C  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  xB  B  B  |B  B  pB  B  tB  B  |B  tB  tB  xB  lB  tB  lB  dB  pB  hB  B  hB  dB  lB  pB  xB  hB  xB  B  dB  B  pB  hB  C  dB  `B  xB  hB  dB  dB  hB  B  dB  dB  dB  dB  pB  `B  dB  hB  xB  hB  B  dB  lB  hB  dB  hB  dB  dB  xB  dB  dB  dB  pB  dB  dB  dB  hB  hB  tB  hB  lB  hB  hB  hB  dB  dB  xB  dB  dB  `B  hB  lB  dB  dB  mC  lB  dB  hB  dB  pB  lB  hB  tB  hB  dB  dB  dB  dB  dB  dB  `B  B  dB  hB  hB  `B  dB  lB  hB  dB  dB  dB  hB  dB  dB  hB  B  dB  `B  dB  lB  hB  hB  dB  dB  dB  hB  dB  dB  dB  `B  hB  dB  xB  dB  dB  pB  B  dB  hB  dB  dB  dB  dB  hB  dB  dB  hB  `B  hB  lB  dB  hB  dB  hB  TC  lB  dB  dB  hB  dB  hB  dB  dB  dB  dB  `B  dB  dB  lB  `B  `B  dB  hB  B  dB  lB  hB  dB  dB  hB  hB  dB  hB  lB  `B  hB  dB  dB  dB  dB  `B  B  dB  `B  hB  `B  hB  dB  hB  hB  hB  dB  dB  hB  hB  hB  hB  dB  hB  dB  hB  dB  dB  hB  `B  `B  dB  hB  hB  hB  hB  dB  dB  hB  `B  `B  `B  dB  dB  dB  hB  dB  dB  dB  dB  dB  dB  dB  dB  dB  lB  dB  dB  dB  dB  dB  dB  dB  dB  `B  dB  `B  dB  dB  dB  dB  `B  dB  dB  dB                                                                                                                                                                                                                                                                                                                                                                                                               000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000OGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOG  C C  C  C  C D C C  C D  C  C D  C C C  C  C C @D C @D  C D D  C C C  C D @D C  C  D 
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000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000OGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOG  pB  pB  pB  lB  lB  pB  lB  pB  pB  pB  pB  pB  tB  pB  pB  pB  pB  pB  pB  pB  pB  pB  pB  pB  pB  pB  pB  pB  tB  pB  pB  pB  pB  tB  tB  pB  pB  pB  tB  pB  pB  pB  tB  tB  pB  pB  tB  tB  pB  tB  tB  pB  tB  tB  pB  tB  pB  tB  pB  pB  tB  pB  pB  pB  tB  pB  pB  tB  tB  tB  tB  xB  tB  xB  pB  tB  xB  tB  xB  tB  |B  tB  tB  tB  pB  tB  pB  pB  pB  pB  lB  pB  hB  lB  pB  lB  lB  lB  lB  lB  lB  lB  lB  lB  lB  hB  lB  lB  hB  lB  lB  hB  lB  hB  lB  lB  lB  lB  hB  lB  pB  lB  lB  hB  hB  hB  lB  hB  hB  lB  hB  lB  hB  hB  lB  hB  hB  lB  hB  hB  lB  lB  lB  lB  lB  lB  lB  lB  hB  lB  lB  lB  lB  lB  lB  pB  lB  lB  pB  lB  lB  lB  lB  pB  pB  pB  lB  lB  pB  pB  pB  pB  pB  lB  pB  tB  lB  pB  pB  pB  pB  pB  pB  tB  xB  tB  tB  tB  tB  tB  B  tB  xB  xB  xB  tB  tB  tB  xB  tB  tB  tB  xB  xB  tB  xB  xB  xB  xB  xB  tB  tB  xB  xB  tB  xB  xB  tB  xB  tB  xB  xB  xB  xB  xB  xB  xB  xB  |B  tB  |B  xB  xB  xB  xB  |B  xB  xB  |B  xB  xB  |B  |B  xB  xB  xB  xB  xB  xB  |B  xB  xB  xB  |B  |B  xB  |B  xB  xB  xB  xB  |B  xB  |B  |B  xB  |B  xB  xB  xB  xB  |B  xB  xB  xB  |B  |B  xB  xB  xB  |B  |B  xB  |B  |B  |B  |B  |B  xB  |B  xB  xB  |B  B  |B  xB  |B  |B  |B  |B  |B  |B  |B  |B  |B  xB  |B  |B  |B  xB  |B  xB  |B  |B  |B  B  |B  |B  |B  |B  xB  xB  |B  |B  xB  |B  |B  xB  xB  xB  B  xB  xB  xB  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  B  B  |B  |B  B  B  B  B  B  B  B  B  B  B  B 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000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000OGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOG                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              OGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGOGPRES                                                                                                                                                                                                                                                                                                                                                                                                                                                            PRES                                                            FLUORESCENCE_CHLA                                               BETA_BACKSCATTERING700                                          FLUORESCENCE_CDOM                                               CHLA                                                            BBP700                                                          CDOM                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            CHLA_ADJUSTED = CHLA_NPQ for PRES in [0,ZMaxFluo], CHLA_ADJUSTED = ((FLUORESCENCE_CHLA-MEDIAN(PRELIM_DARK_CHLA))*SCALE_CHLA)/PHYSIO_RATIO otherwise                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             CHLA_NPQ = [], ZMaxFluo = [], PRELIM_DARK_CHLA = [55,55,55,55,55], SCALE_CHLA = 0.0073, PHYSIO_RATIO = 1.7185                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   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))                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  20260423030748                            HZ  HZ  HZ  HZ  HZ  HZ  ARFMARFMARGQARGQARGQARGQ                                                                                                                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