paper
2023
Observations & remote sensing
New model or method
CNN / U-NetClassical ML (trees, GP, linear, kernels)NOAA (incl. GFDL, PSL, GSL, NCEP/EMC) Journal
2023-08-31
047
Aug 2023
Malarvizhi Arulraj, Veljko Petković, Ralph R. Ferraro et al.
Journal of Hydrometeorology
NOAA (incl. GFDL, PSL, GSL, NCEP/EMC)
Convolutional autoencoders with clustering classify 3D MRMS radar reflectivity profiles into 18 precipitation-structure clusters linked to HRRR environmental conditions.
Precipitation Vertical Structure Characterization: A Feature-Based Approach
In one sentence. Convolutional autoencoders with clustering classify 3D MRMS radar reflectivity profiles into 18 precipitation-structure clusters linked to HRRR environmental conditions.
Labels
- Topic
- Observations & remote sensing
- Type
- New model or method
- Method
- CNN / U-Net, Classical ML (trees, GP, linear, kernels)
- Domain
- Regional
- Data
- Radar, NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.1175/jhm-d-23-0034.1 OpenAlex:W4386307996
- Added
- 2026-10-22
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