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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 Bayesian spatio-temporal model for short-term forecasting of precipitation fields

Lookup NU author(s): Dr Stephen Johnson, Dr Sarah Heaps, Professor Kevin WilsonORCiD

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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): Johnson SR, Heaps SE, Wilson KJ, Wilkinson DJ

Publication type: Article

Publication status: Published

Journal: Environmetrics

Year: 2023

Volume: 34

Issue: 8

Print publication date: 01/12/2023

Online publication date: 01/08/2023

Acceptance date: 19/07/2023

Date deposited: 11/08/2023

ISSN (electronic): 1099-095X

Publisher: John Wiley & Sons Ltd.

URL: http://doi.org/10.1002/env.2824

DOI: 10.1002/env.2824

Data Access Statement: The data that support the findings of this study are openly available in BayesianRainfallModelling at https://github.com/srjresearch/BayesianRainfallModelling.


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Funding

Funder referenceFunder name
Natural Environment Research Council

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