3 resultados para 06MT60_5


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We compare alkalinity and total dissolved inorganic carbon (DIC) measurements made during the Transient Tracers in the Ocean, North Atlantic Study (TTO-NAS) in 1981 with modern measurements from a TTO reoccupation cruise in 2004 (M60/5). We find that the TTO-NAS alkalinity values are 3.6 ± 2.3 µmol/kg higher than modern alkalinity data tied to Certified Reference Materials. The TTO-NAS DIC values re-calculated from original alkalinity and discrete-pCO2 data using currently accepted constants are 3.8 µmol/kg higher than those reported in the revised TTO data set. This difference is reduced to 0.7 µmol/kg when our suggested correction to the TTO-NAS alkalinity is applied. These re-calculated DIC values are 2.4 µmol/kg too low relative to contemporaneous measurements made by the vacuum extraction/manometric Certified method. Application of this correction brings the TTO data into almost perfect agreement with modern measurements for slowly-ventilated deep water of the eastern Atlantic.

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The MAREDAT atlas covers 11 types of plankton, ranging in size from bacteria to jellyfish. Together, these plankton groups determine the health and productivity of the global ocean and play a vital role in the global carbon cycle. Working within a uniform and consistent spatial and depth grid (map) of the global ocean, the researchers compiled thousands and tens of thousands of data points to identify regions of plankton abundance and scarcity as well as areas of data abundance and scarcity. At many of the grid points, the MAREDAT team accomplished the difficult conversion from abundance (numbers of organisms) to biomass (carbon mass of organisms). The MAREDAT atlas provides an unprecedented global data set for ecological and biochemical analysis and modeling as well as a clear mandate for compiling additional existing data and for focusing future data gathering efforts on key groups in key areas of the ocean. The present data set presents depth integrated values of diazotrophs Gamma-A nifH genes abundance, computed from a collection of source data sets.