A Correction Method of Environmental Meteorological Model Based on Long‐Short‐Term Memory Neural Network

A Correction Method of Environmental Meteorological Model Based on Long‐Short‐Term Memory Neural Network

Abstract Correction method can reduce the high deviation between the prediction results of numerical model and the observation results and improve the prediction accuracy. Based on the numerical models, including Rapid Refresh Multi‐scale Analysis and Prediction System‐CHEM and CMA Unified Atmospher...

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Bibliographic Details
Main Authors: Yuliang Dai, Zhenyu Lu, Hengde Zhang, Tianming Zhan, Jia Lu, Peng Wang
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2019-11-01
Series:Earth and Space Science
Subjects:
PM2.5 concentration forecast
multi‐model integration correction
LSTM neural network
Online Access:https://doi.org/10.1029/2019EA000641

Internet

https://doi.org/10.1029/2019EA000641

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