Log in to save to my catalogue

Testing the reconstruction of modelled particulate organic carbon from surface ecosystem components...

Testing the reconstruction of modelled particulate organic carbon from surface ecosystem components...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ff78d863b97d4c219a0e710025fea418

Testing the reconstruction of modelled particulate organic carbon from surface ecosystem components using PlankTOM12 and machine learning

About this item

Full title

Testing the reconstruction of modelled particulate organic carbon from surface ecosystem components using PlankTOM12 and machine learning

Publisher

Katlenburg-Lindau: Copernicus GmbH

Journal title

Geoscientific Model Development, 2023-05, Vol.16 (10), p.2995-3012

Language

English

Formats

Publication information

Publisher

Katlenburg-Lindau: Copernicus GmbH

More information

Scope and Contents

Contents

Understanding the relationship between surface marine ecosystems
and the export of carbon to depth by sinking organic particles is key to
representing the effect of ecosystem dynamics and diversity, and their
evolution under multiple stressors, on the carbon cycle and climate in
models. Recent observational technologies have greatly inc...

Alternative Titles

Full title

Testing the reconstruction of modelled particulate organic carbon from surface ecosystem components using PlankTOM12 and machine learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ff78d863b97d4c219a0e710025fea418

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ff78d863b97d4c219a0e710025fea418

Other Identifiers

ISSN

1991-9603,1991-959X,1991-962X

E-ISSN

1991-9603,1991-962X

DOI

10.5194/gmd-16-2995-2023

How to access this item