An updated version of the global interior ocean biogeochemical data product, GLODAPv2.2020
Name
essd-12-3653-2020.pdf
Description
Published version
Size
4.02 MB
Format
Adobe PDF
Checksum (MD5)
01cc67bbac2d574a60ff7b4de0a50115
Author(s) • • • • • • • • •
Olsen, Are
Lange, Nico
Key, Robert M.
Tanhua, Toste
Bittig, Henry C.
Kozyr, Alex
Álvarez, Marta
Azetsu-Scott, Kumiko
Becker, Susan
Brown, Peter J.
Date Issued
2020
Journal
Earth System Science Data
Publisher
Copernicus GmbH
Citation
Olsen, A. et al. An updated version of the global interior ocean biogeochemical data product, GLODAPv2.2020, Earth Syst. Sci. Data, 12, 3653–3678.
Version
Final published version
Abstract
The Global Ocean Data Analysis Project (GLODAP) is a synthesis effort providing regular compilations of surface-to-bottom ocean biogeochemical data, with an emphasis on seawater inorganic carbon chemistry and related variables determined through chemical analysis of seawater samples. GLODAPv2.2020 is an update of the previous version, GLODAPv2.2019. The major changes are data from 106 new cruises added, extension of time coverage to 2019, and the inclusion of available (also for historical cruises) discrete fugacity of CO2 (fCO2) values in the merged product files. GLODAPv2.2020 now includes measurements from more than 1.2 million water samples from the global oceans collected on 946 cruises. The data for the 12 GLODAP core variables (salinity, oxygen, nitrate, silicate, phosphate, dissolved inorganic carbon, total alkalinity, pH, CFC-11, CFC-12, CFC-113, and CCl4) have undergone extensive quality control with a focus on systematic evaluation of bias. The data are available in two formats: (i) as submitted by the data originator but updated to WOCE exchange format and (ii) as a merged data product with adjustments applied to minimize bias. These adjustments were derived by comparing the data from the 106 new cruises with the data from the 840 quality-controlled cruises of the GLODAPv2.2019 data product using crossover analysis. Comparisons to empirical algorithm estimates provided additional context for adjustment decisions; this is new to this version. The adjustments are intended to remove potential biases from errors related to measurement, calibration, and data-handling practices without removing known or likely time trends or variations in the variables evaluated. The compiled and adjusted data product is believed to be consistent to better than 0.005 in salinity, 1 % in oxygen, 2 % in nitrate, 2 % in silicate, 2 % in phosphate, 4 µmol kg−1 in dissolved inorganic carbon, 4 µmol kg−1 in total alkalinity, 0.01–0.02 in pH (depending on region), and 5 % in the halogenated transient tracers. The other variables included in the compilation, such as isotopic tracers and discrete fCO2, were not subjected to bias comparison or adjustments.
MIT Department
Massachusetts Institute of Technology. Center for Global Change Science
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Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.5194/essd-12-3653-2020