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The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

A Monte Carlo simulation and sensitivity analysis framework demonstrating the advantages of probabilistic forecasting over deterministic forecasting in terms of flood warning reliability

Lookup NU author(s): Dr Greg O'DonnellORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Publication metadata

Author(s): Duque LF, O'Connell E, O'Donnell G

Publication type: Article

Publication status: Published

Journal: Journal of Hydrology

Year: 2023

Volume: 619

Print publication date: 01/04/2023

Online publication date: 04/03/2023

Acceptance date: 27/02/2023

Date deposited: 17/04/2023

ISSN (print): 0022-1694

Publisher: Elsevier BV

URL: https://doi.org/10.1016/j.jhydrol.2023.129340

DOI: 10.1016/j.jhydrol.2023.129340

ePrints DOI: 10.57711/ekcc-8w20

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Funding

Funder referenceFunder name
ES/S008179/1
Secretary for Higher Education, Science, Technology and Innovation (SENESCYT) of the Government of Ecuador

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