paper
1996
Extremes & hazards
Nowcasting New model or method
Classical ML (trees, GP, linear, kernels)0–6 hNOAA (incl. GFDL, PSL, GSL, NCEP/EMC)University of Oklahoma (AI2ES) Journal
1996-05-01
061
May 1996
Caren Marzban, Gregory J. Stumpf
Journal of Applied Meteorology
NOAA (incl. GFDL, PSL, GSL, NCEP/EMC), University of Oklahoma (AI2ES)
An early neural network predicts tornadoes from Doppler radar-derived storm attributes. Abstract not available; classification based on title.
Extremes & hazardsClassic
A Neural Network for Tornado Prediction Based on Doppler Radar-Derived Attributes
In one sentence. An early neural network predicts tornadoes from Doppler radar-derived storm attributes. Abstract not available; classification based on title.
Labels
- Topic
- Extremes & hazards, Nowcasting
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 0–6 h
- Domain
- Regional
- Data
- Radar
- Status
- Research
- Identifiers
- DOI:10.1175/1520-0450(1996)035<0617:annftp>2.0.co;2 OpenAlex:W2031580446
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.