The CORA 5.2 dataset for global in situ temperature and salinity measurements: data description and validation
2019
Abstract. We present the Copernicus in situ ocean dataset of temperature
and salinity (version 5.2). Ocean subsurface sampling varied widely
from 1950 to 2017 as a result of changes in instrument technology and the
development of in situ observational networks (in particular, tropical moorings for the
Argo program). Thus, global ocean temperature data coverage on an annual
basis grew from 10 % in 1950 (30 % for the North Atlantic basin) to
25 % in 2000 (60 % for the North Atlantic basin) and reached a plateau
exceeding 80 % (95 % for the North Atlantic Ocean) after the deployment
of the Argo program. The average depth reached by the profiles also
increased from 1950 to 2017. The validation framework is presented, and an
objective analysis-based method is developed to assess the quality of the
dataset validation process. Objective analyses (OAs) of the ocean variability are calculated
without taking into account the data quality flags (raw dataset OA), with
the near-real-time quality flags (NRT dataset OA), and with the delayed-time-mode quality flags (CORA dataset OA). The comparison of the objective
analysis variability shows that the near-real-time dataset managed to detect
and to flag most of the large measurement errors, reducing the analysis
error bar compared to the raw dataset error bar. It also shows that the
ocean variability of the delayed-time-mode validated dataset is almost
exempt from random-error-induced variability.
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