paper
2020
Observations & remote sensing
New model or method
CNN / U-NetColorado State University (incl. CIRA) Other
2020-11-20
022
Nov 2020
Kyle Hilburn
preprint
Colorado State University (incl. CIRA)
CNNs infer airmass properties such as moisture and instability from GOES-R ABI imagery, offering an automated alternative to sparse radiosondes for NWP and forecasters.
Inferring Airmass Properties from GOES-R ABI Observations
In one sentence. CNNs infer airmass properties such as moisture and instability from GOES-R ABI imagery, offering an automated alternative to sparse radiosondes for NWP and forecasters.
Labels
- Topic
- Observations & remote sensing
- Type
- New model or method
- Method
- CNN / U-Net
- Domain
- Regional
- Data
- Satellite, Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1002/essoar.10504854.1 OpenAlex:W3193434426
- Added
- 2026-10-22
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