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A New Global Ocean Climatology
Language
English
Obiettivo Specifico
4A. Oceanografia e clima
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Title of the book
Issue/vol(year)
/9 (2021)
Electronic ISSN
2296-665X
Pages (printed)
711363
Issued date
August 31, 2021
Subjects
Hydrosphere
Abstract
A new global ocean temperature and salinity climatology is proposed for two time periods: a long time mean using multiple sensor data for the 1900–2017 period and a shorter time mean using only profiling float data for the 2003–2017 period. We use the historical database of World Ocean Database 2018. The estimation approach is novel as an additional quality control procedure is implemented, along with a new mapping algorithm based on Data Interpolating Variational Analysis. The new procedure, in addition to the traditional quality control approach, resulted in low sensitivity in terms of the first guess field choice. The roughness index and the root mean square of residuals are new indices applied to the selection of the free mapping parameters along with sensitivity experiments. Overall, the new estimates were consistent with previous climatologies, but several differences were found. The cause of these discrepancies is difficult to identify due to several differences in the procedures. To minimise these uncertainties, a multi-model ensemble mean is proposed as the least uncertain estimate of the global ocean temperature and salinity climatology.
Sponsors
SeaDataCloud Project and University of Bologna
Type
article
File(s)
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Name
Shahazadi_fenvs-09-711363_2021.pdf
Description
Open Access paper
Size
5.88 MB
Format
Adobe PDF
Checksum (MD5)
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