Machine Learning Approaches to Improve North American Precipitation Forecasts
Author:
Affiliation:
1. Department of Applied Computer Science, The University of Winnipeg, Winnipeg, Canada
2. Weatherlogics Inc., Lorette West, Canada
Funder
Natural Sciences and Engineering Research Council of Canada (NSERC) Alliance
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10231339.pdf?arnumber=10231339
Reference47 articles.
1. Rain intensity forecast using Artificial Neural Networks in Athens, Greece
2. Using Artificial Neural Networks to Improve CFS Week 3-4 Precipitation and 2-Meter Air Temperature Forecasts
3. Estimating Summertime Precipitation from Himawari-8 and Global Forecast System Based on Machine Learning
4. Skillful twelve hour precipitation forecasts using large context neural networks;espeholt;arXiv 2111 07470,2021
5. MetNet: A neural weather model for precipitation forecasting;sønderby;arXiv 2003 12140,2020
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