ML4WX

Observations & remote sensing

Deep Learning–Based Summertime Turbulence Intensity Estimation Using Satellite Observations

Yoonjin Lee, Soo‐Hyun Kim, Yoo‐Jeong Noh, Jung‐Hoon Kim

Journal of Atmospheric and Oceanic Technology · · Colorado State University (incl. CIRA)

PaperPDF

In one sentence. U-Net models estimate aviation turbulence intensity at three altitude layers from GOES-16 ABI imagery; U-Net3+ matches pilot reports best.

Labels

Topic
Observations & remote sensing, Applications & impacts
Type
New model or method
Method
CNN / U-Net
Domain
Regional
Data
Satellite, Other
Status
Research
Identifiers
DOI:10.1175/jtech-d-22-0137.1 OpenAlex:W4386497166
Added
2026-10-22

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