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An integrated methodology for post-processing ensemble prediction systems to produce more representative extreme water level forecasts: the case of the Río de la Plata estuary

Crossref DOI link: https://doi.org/10.1007/s11069-022-05499-1

Published Online: 2022-08-01

Published Print: 2022-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Dinápoli, Matías G. https://orcid.org/0000-0001-5588-6732
Simionato, Claudia G.
Funding

Funding for this research was provided by:

secretaría de ciencia y técnica, universidad de buenos aires (20020190100200BA)

Pampa Azul (PIDT A5)
License Information

Text and Data Mining valid from 2022-08-01

Version of Record valid from 2022-08-01
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Article History

Received: 2 July 2021

Accepted: 20 July 2022

First Online: 1 August 2022

Declarations

:

: The authors declare that they have no conflict of interest.

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