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Improving GCM‐Based Decadal Ocean Carbon Flux Predictions Using Observationally‐Constrained Statisti...

Improving GCM‐Based Decadal Ocean Carbon Flux Predictions Using Observationally‐Constrained Statisti...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b1bc0f7b7bcb46d3a7c06b60fff3c48e

Improving GCM‐Based Decadal Ocean Carbon Flux Predictions Using Observationally‐Constrained Statistical Models

About this item

Full title

Improving GCM‐Based Decadal Ocean Carbon Flux Predictions Using Observationally‐Constrained Statistical Models

Publisher

Bognor Regis: John Wiley & Sons, Inc

Journal title

Earth's future, 2024-12, Vol.12 (12), p.n/a

Language

English

Formats

Publication information

Publisher

Bognor Regis: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

An essential step toward meeting agreed climate targets and policies is the ability to understand and predict near‐term changes in global carbon cycle, and importantly, ocean carbon uptake. Initialized climate model simulations have proven skillful for near‐term predictability of the key physical climate variables, for example, temperature, precipi...

Alternative Titles

Full title

Improving GCM‐Based Decadal Ocean Carbon Flux Predictions Using Observationally‐Constrained Statistical Models

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b1bc0f7b7bcb46d3a7c06b60fff3c48e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b1bc0f7b7bcb46d3a7c06b60fff3c48e

Other Identifiers

ISSN

2328-4277

E-ISSN

2328-4277

DOI

10.1029/2023EF004204

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