paper
2025
Downscaling & super-resolution
New model or method
Classical ML (trees, GP, linear, kernels)China Meteorological Administration (CMA)Fudan University (FuXi)Tsinghua University (NowcastNet) Journal
2025-10-18
047
Oct 2025
Haida Tang, Jiayu Chen, Xingkang Chai et al.
Building and Environment
China Meteorological Administration (CMA), Fudan University (FuXi), Tsinghua University (NowcastNet)
Machine learning fuses ERA5 with multi-source data to map high-resolution urban climate in Shenzhen; abstract unavailable, inferred from title.
Downscaling & super-resolution
High-resolution urban climate spatiotemporal mapping from ERA5 reanalysis: integrating multi-source data with machine learning for the city of Shenzhen
In one sentence. Machine learning fuses ERA5 with multi-source data to map high-resolution urban climate in Shenzhen; abstract unavailable, inferred from title.
Labels
- Topic
- Downscaling & super-resolution
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Local / station
- Data
- ERA5 / reanalysis, Other
- Status
- Research
- Identifiers
- DOI:10.1016/j.buildenv.2025.113882 OpenAlex:W4415314537
- Added
- 2026-10-22
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