Machine Learning Approaches to Improve North American Precipitation Forecasts

Machine Learning Approaches to Improve North American Precipitation Forecasts

Numerical weather prediction (NWP) is a challenging task which involves working with micro and macro-scale spatio-temporal parameters susceptible to biases and accuracy problems. In recent years, machine learning has grown in popularity with the increasing demand in accurate weather predictions. In...

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Bibliographic Details
Main Authors: Cenker Sengoz, Sheela Ramanna, Scott Kehler, Rushil Goomer, Paul Pries
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Machine learning
neural networks
regression
numerical weather prediction
precipitation forecasting
Online Access:https://ieeexplore.ieee.org/document/10231339/

Internet

https://ieeexplore.ieee.org/document/10231339/

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