paper
2023
Observations & remote sensing
Downscaling & super-resolution New model or method
CNN / U-NetNASAMassachusetts Institute of Technology (MIT) Journal
2023-01-10
051
Jan 2023
Adam B. Milstein, Joseph A. Santanello, William J. Blackwell
Artificial Intelligence for the Earth Systems
NASA, Massachusetts Institute of Technology (MIT)
A 3D deep neural network sharpens AIRS/AMSU temperature and humidity retrievals, better capturing planetary boundary layer top inversions and improving PBL height estimates.
Detail Enhancement of AIRS/AMSU Temperature and Moisture Profiles Using a 3D Deep Neural Network
In one sentence. A 3D deep neural network sharpens AIRS/AMSU temperature and humidity retrievals, better capturing planetary boundary layer top inversions and improving PBL height estimates.
Labels
- Topic
- Observations & remote sensing, Downscaling & super-resolution
- Type
- New model or method
- Method
- CNN / U-Net
- Domain
- Global
- Data
- Satellite, Other
- Status
- Research
- Identifiers
- DOI:10.1175/aies-d-22-0037.1 OpenAlex:W4315478794
- Added
- 2026-10-22
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