Log in to save to my catalogue

cfr (v2024.1.26): a Python package for climate field reconstruction

cfr (v2024.1.26): a Python package for climate field reconstruction

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fbd3fe7af9a44dd297583eda127bebd5

cfr (v2024.1.26): a Python package for climate field reconstruction

About this item

Full title

cfr (v2024.1.26): a Python package for climate field reconstruction

Publisher

Katlenburg-Lindau: Copernicus GmbH

Journal title

Geoscientific Model Development, 2024-04, Vol.17 (8), p.3409-3431

Language

English

Formats

Publication information

Publisher

Katlenburg-Lindau: Copernicus GmbH

More information

Scope and Contents

Contents

Climate field reconstruction (CFR) refers to the estimation of spatiotemporal climate fields (such as surface temperature) from a collection of pointwise paleoclimate proxy datasets. Such reconstructions can provide rich information on climate dynamics and provide an out-of-sample validation of climate models. However, most CFR workflows are comple...

Alternative Titles

Full title

cfr (v2024.1.26): a Python package for climate field reconstruction

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_fbd3fe7af9a44dd297583eda127bebd5

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fbd3fe7af9a44dd297583eda127bebd5

Other Identifiers

ISSN

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

E-ISSN

1991-9603,1991-962X

DOI

10.5194/gmd-17-3409-2024

How to access this item