paper
2023
Downscaling & super-resolution
Observations & remote sensing New model or method
ETH Zurich Journal
2023-03-13
022
Mar 2023
Xiaotian Ding, Yongling Zhao, Yifan Fan et al.
Building and Environment
ETH Zurich
Uses machine learning to map city-scale air temperature from sparse meteorological station data for urban climate adaptation. No abstract available; scope inferred from title.
Downscaling & super-resolution
Machine learning-assisted mapping of city-scale air temperature: Using sparse meteorological data for urban climate modeling and adaptation
In one sentence. Uses machine learning to map city-scale air temperature from sparse meteorological station data for urban climate adaptation. No abstract available; scope inferred from title.
Labels
- Topic
- Downscaling & super-resolution, Observations & remote sensing
- Type
- New model or method
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1016/j.buildenv.2023.110211 OpenAlex:W4324030762
- Added
- 2026-10-22
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