Deep Learning‐Based Super‐Resolution Climate Simulator‐Emulator Framework for Urban Heat Studies-Reference-Cited by-同舟云学术

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Deep Learning‐Based Super‐Resolution Climate Simulator‐Emulator Framework for Urban Heat Studies

Published:2021-10-06 Issue:19 Volume:48 Page:
ISSN:0094-8276
Container-title:Geophysical Research Letters
language:en
Short-container-title:Geophys Res Lett

Author:

Wu Yuankai¹^ORCID,Teufel Bernardo¹,Sushama Laxmi¹^ORCID,Belair Stephane²^ORCID,Sun Lijun¹^ORCID

Affiliation:

1. Department of Civil Engineering Trottier Institute for Sustainability in Engineering and Design McGill University Montreal QC Canada

2. Meteorological Research Division Science and Technology Branch Environment and Climate Change Canada Dorval QC Canada

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021GL094737

Reference39 articles.

1. Temperature decreases in an urban canyon due to green walls and green roofs in diverse climates

2. Six research priorities for cities and climate change

3. Prognostic Validation of a Neural Network Unified Physics Parameterization

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