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Precursors and pathways: dynamically informed extreme event forecasting demonstrated on the historic...

Precursors and pathways: dynamically informed extreme event forecasting demonstrated on the historic...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_efe14ba0e5b54e6a9e9b7ae6ebe1440c

Precursors and pathways: dynamically informed extreme event forecasting demonstrated on the historic Emilia-Romagna 2023 flood

About this item

Full title

Precursors and pathways: dynamically informed extreme event forecasting demonstrated on the historic Emilia-Romagna 2023 flood

Publisher

Katlenburg-Lindau: Copernicus GmbH

Journal title

Natural hazards and earth system sciences, 2024-09, Vol.24 (9), p.2995-3012

Language

English

Formats

Publication information

Publisher

Katlenburg-Lindau: Copernicus GmbH

More information

Scope and Contents

Contents

The ever-increasing complexity and data volumes of numerical weather prediction demand innovations in the analysis and synthesis of operational forecast data. Here we show how dynamical thinking can offer directly applicable forecast information, taking as a case study the extreme northern Italy flooding of May 2023. We compare this event with long...

Alternative Titles

Full title

Precursors and pathways: dynamically informed extreme event forecasting demonstrated on the historic Emilia-Romagna 2023 flood

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_efe14ba0e5b54e6a9e9b7ae6ebe1440c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_efe14ba0e5b54e6a9e9b7ae6ebe1440c

Other Identifiers

ISSN

1684-9981,1561-8633

E-ISSN

1684-9981

DOI

10.5194/nhess-24-2995-2024

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