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Data · dataset · 2026

Supplemental data for: Different urban heat mitigation strategies are optimal day versus night and for distinct synoptic weather types

Listed in Borealis

The urbanized Weather Research and Forecasting (WRF) model is applied to assess the dependence of heat mitigation cooling efficacy in Toronto, Canada during daytime versus nighttime as a function weather type and local built structure and cover.

Description

This dataset includes the input and parameter files needed to run all Weather Research & Forecasting (WRF) simulations for the Hesse et al. (2025) publication.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Hydrology 69%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Borealisdoi:10.5683/SP3/7GWWLB11 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:3707enrichment · borealisdata cataxonomy-embedding@1.1.0title+keywords+description (69%)
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
concepts[field].local:field:ocean-atmosphericmapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
created_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
descriptionsource · borealisdata caconnector:borealisdata_ca@1.0.0/description
publication_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
titlesource · borealisdata caconnector:borealisdata_ca@1.0.0/name
updated_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
version_labelsource · borealisdata caconnector:borealisdata_ca@1.0.0