Research Data Supporting the publication “Improvement of decadal predictions of monthly extreme Mei-yu rainfall via a causality guided approach”

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Ng, Kelvin S. and Leckebusch, Gregor C. and Hodges, Kevin I. (2024) Research Data Supporting the publication “Improvement of decadal predictions of monthly extreme Mei-yu rainfall via a causality guided approach”.
Dataset Details
Data creator(s):
CreatorsEmailORCID
Ng, Kelvin S.k.s.ng@bham.ac.ukorcid.org/0000-0002-1464-1701
Leckebusch, Gregor C.g.c.leckebusch@bham.ac.ukorcid.org/0000-0001-9242-7682
Hodges, Kevin I.k.i.hodges@reading.ac.ukorcid.org/0000-0003-0894-229X
Research Data Type: Dataset
DOI: https://doi.org/10.25500/edata.bham.00001150
Publisher: University of Birmingham
Funder: Other
Keywords: Extreme rainfall, Mei-yu front, causality-guided approach, decadal prediction system
Managing organisational unit: Colleges (2008 onwards) > College of Life & Environmental Sciences
UoB School, Department or Institute: School of Geography, Earth and Environmental Sciences
Date: 1 August 2024
Available Files
Data
data_supporting ... l_2024_ERCL.zip
+ data_supporting ... l_2024_ERCL.zip
Documentation
Data_description.pdf
+ Data_description.pdf
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