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A Machine Learning Tutorial for Operational Meteorology, Part I:
  Traditional Machine Learning

A Machine Learning Tutorial for Operational Meteorology, Part I: Traditional Machine Learning

15 April 2022
Randy J. Chase
David R. Harrison
Amanda L. Burke
G. Lackmann
A. McGovern
    AI4CE
ArXivPDFHTML

Papers citing "A Machine Learning Tutorial for Operational Meteorology, Part I: Traditional Machine Learning"

3 / 3 papers shown
Title
Machine Learning Estimation of Maximum Vertical Velocity from Radar
Machine Learning Estimation of Maximum Vertical Velocity from Radar
Randy J. Chase
Amy McGovern
Cameron Homeyer
Peter Marinescu
Corey K. Potvin
22
0
0
13 Oct 2023
Balancing Computational Efficiency and Forecast Error in Machine
  Learning-based Time-Series Forecasting: Insights from Live Experiments on
  Meteorological Nowcasting
Balancing Computational Efficiency and Forecast Error in Machine Learning-based Time-Series Forecasting: Insights from Live Experiments on Meteorological Nowcasting
Elin Törnquist
Wagner Costa Santos
Timothy C. Pogue
Nicholas Wingle
R. Caulk
AI4TS
26
0
0
26 Sep 2023
Machine Learning for Stochastic Parameterization: Generative Adversarial
  Networks in the Lorenz '96 Model
Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model
D. Gagne
H. Christensen
A. Subramanian
A. Monahan
AI4CE
BDL
54
139
0
10 Sep 2019
1