paper
2020
Observations & remote sensing
Applications & impacts New model or method
OtherNASANSF NCAR / UCARBureau of Meteorology (Australia) Journal
2020-02-17
047
Feb 2020
Julie A. Haggerty, Allyson Rugg, Rodney J. Potts et al.
Journal of Atmospheric and Oceanic Technology
NASA, NSF NCAR / UCAR, Bureau of Meteorology (Australia)
Fuzzy-logic ALPHA algorithm fuses satellite, NWP and radar data to detect high ice water content for aviation, with AUC 0.85 against in situ measurements.
Development of a Method to Detect High Ice Water Content Environments Using Machine Learning
In one sentence. Fuzzy-logic ALPHA algorithm fuses satellite, NWP and radar data to detect high ice water content for aviation, with AUC 0.85 against in situ measurements.
Labels
- Topic
- Observations & remote sensing, Applications & impacts
- Type
- New model or method
- Method
- Other
- Domain
- Regional
- Data
- Satellite, Radar, NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Pre-operational / experimental
- Identifiers
- DOI:10.1175/jtech-d-19-0179.1 OpenAlex:W3006390524
- Added
- 2026-10-22
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