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Data · dataset · 2026

Replication Data for: Buoyancy generation predicts tropical precipitation

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Data files pertaining to the paper 'Buoyancy generation predicts tropical precipitation.' To be submitted to Science: Advances.

Description

This dataset includes CAPE generation computed from the Japanese Reanalysis for Three Quarters of a Century (JRA-3Q), calculated at 6-hourly time intervals and averaged to monthly temporal resolution from January 1985 to December 2024. Domain of study spans the global tropics, from 30S to 30N.

CAPE generation was computed with two methods: a finite difference of mixed layer CAPE and a term-by-term physical decomposition method. Python module in this dataset includes code to compute CAPE generation using both methods from standard reanalysis output (temperature, specific humidity, surface pressure, and large-scale heating and moistening tendencies). Further, we compute the spatial correlation coefficients between CAPE, CAPE generation and tropical precipitation climatology, trends, and extremes from four rainfall datasets.

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Related publications, usage, and license included in readme file. (2026-08-04)

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Climate change science 68%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Borealisdoi:10.5683/SP4/4TZUPH13 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:3702enrichment · borealisdata cataxonomy-embedding@1.1.0title+keywords+description (68%)
concepts[field].dataverse_subject:earth-and-environmental-sciencessource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:earth-environmentalmapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
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descriptionsource · borealisdata caconnector:borealisdata_ca@1.0.0/description
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version_labelsource · borealisdata caconnector:borealisdata_ca@1.0.0