dc.contributor.author | Shahzadi, Kanwal | |
dc.contributor.author | Pinardi, Nadia | |
dc.contributor.author | Barth, Alexander | |
dc.contributor.author | Troupin, Charles | |
dc.contributor.author | Lyubartsev, Vladyslav | |
dc.contributor.author | Simoncelli, Simona | |
dc.date.accessioned | 2021-10-29T18:06:32Z | |
dc.date.available | 2021-10-29T18:06:32Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Shahzadi, K., Pinard,i N., Barth, A.,
Troupin, C., Lyubartsev, V. and
Simoncelli, S. (2021) A New Global
Ocean Climatology.
Frontiers In Environmental Science, 9:711363, 14pp.
DOI: 10.3389/fenvs.2021.711363 | en_US |
dc.identifier.uri | https://repository.oceanbestpractices.org/handle/11329/1768 | |
dc.description.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 | en_US |
dc.language.iso | en | en_US |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject.other | Temperature analysis | en_US |
dc.subject.other | Salinity analysis | en_US |
dc.subject.other | Data interpolating variational analysis | en_US |
dc.subject.other | Multi-model ensemble | en_US |
dc.title | A New Global Ocean Climatology. | en_US |
dc.type | Journal Contribution | en_US |
dc.description.refereed | Refereed | en_US |
dc.format.pagerange | 14pp. | en_US |
dc.identifier.doi | https://doi.org/10.3389/fenvs.2021.711363 | |
dc.subject.parameterDiscipline | Water column temperature and salinity | en_US |
dc.subject.dmProcesses | Data quality control | en_US |
dc.bibliographicCitation.title | Frontiers in Environmental Science | en_US |
dc.bibliographicCitation.volume | 9 | en_US |
dc.bibliographicCitation.issue | Article 711363 | en_US |
dc.description.sdg | 14.a | en_US |
dc.description.eov | N/A | en_US |
dc.description.adoption | Novel (no adoption outside originators) | en_US |
dc.description.methodologyType | Method | en_US |
dc.description.methodologyType | Specification of criteria | en_US |
obps.contact.contactname | Kanwal Shahzadi | |
obps.contact.contactemail | kanwal.shahzadi3@unibo.it | |
obps.resourceurl.publisher | https://www.frontiersin.org/articles/10.3389/fenvs.2021.711363/full | |