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An empirical MLR for estimating surface layer DIC and a comparative assessment to other gap-filling...

An empirical MLR for estimating surface layer DIC and a comparative assessment to other gap-filling...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_43cdcbb7e8264cb6b1589793ff9c075a

An empirical MLR for estimating surface layer DIC and a comparative assessment to other gap-filling techniques for ocean carbon time series

About this item

Full title

An empirical MLR for estimating surface layer DIC and a comparative assessment to other gap-filling techniques for ocean carbon time series

Publisher

Katlenburg-Lindau: Copernicus GmbH

Journal title

Biogeosciences, 2022-01, Vol.19 (1), p.241-269

Language

English

Formats

Publication information

Publisher

Katlenburg-Lindau: Copernicus GmbH

More information

Scope and Contents

Contents

Regularized time series of ocean carbon data are necessary for
assessing seasonal dynamics, annual budgets, and interannual and climatic
variability. There are, however, no standardized methods for filling data
gaps and limited evaluation of the impacts on uncertainty in the
reconstructed time series when using various imputation method...

Alternative Titles

Full title

An empirical MLR for estimating surface layer DIC and a comparative assessment to other gap-filling techniques for ocean carbon time series

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_43cdcbb7e8264cb6b1589793ff9c075a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_43cdcbb7e8264cb6b1589793ff9c075a

Other Identifiers

ISSN

1726-4189,1726-4170

E-ISSN

1726-4189

DOI

10.5194/bg-19-241-2022

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