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Data · dataset · 2024

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

Listed in UBIRA eData

Description

This data accompanies the peer-reviewed article Kelvin S. Ng et al. (2024): Improvement of decadal predictions of monthly extreme Mei-yu rainfall via a causality guided approach. Environ. Res.: Climate doi.org/10.1088/2752-5295/ad6631 Please see Data_description.pdf for more details.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Climate change science 74%
Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
UBIRA eDataoai:edata.bham.ac.uk:115011 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:3702enrichment · edata bham ac uktaxonomy-embedding@1.0.0title+keywords+description (74%)
concepts[field].local:field:earth-environmentalmapping · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0
descriptionsource · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0/metadata/dc/description
license_textsource · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0
publication_datesource · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0
titlesource · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0/metadata/dc/title