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Windows of opportunity for predicting seasonal climate extremes highlighted by the Pakistan floods o...

Windows of opportunity for predicting seasonal climate extremes highlighted by the Pakistan floods o...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7f12a9c8b2c34a5ab8d9826a5c3df8fa

Windows of opportunity for predicting seasonal climate extremes highlighted by the Pakistan floods of 2022

About this item

Full title

Windows of opportunity for predicting seasonal climate extremes highlighted by the Pakistan floods of 2022

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2023-10, Vol.14 (1), p.6544-6544, Article 6544

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Skilful predictions of near-term climate extremes are key to a resilient society. However, standard methods of analysing seasonal forecasts are not optimised to identify the rarer and most impactful extremes. For example, standard tercile probability maps, used in real-time regional climate outlooks, failed to convey the extreme magnitude of summer...

Alternative Titles

Full title

Windows of opportunity for predicting seasonal climate extremes highlighted by the Pakistan floods of 2022

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_7f12a9c8b2c34a5ab8d9826a5c3df8fa

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7f12a9c8b2c34a5ab8d9826a5c3df8fa

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-023-42377-1

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