Prediction of temporal atmospheric boundary layer height using long short-term memory network

Prediction of temporal atmospheric boundary layer height using long short-term memory network

Nowadays, the city’s rapid growth of industrialisation, population, human activities, vehicular traffic density, unplanned urbanisation with poor ventilation contributes to increasing large amount of pollutants concentration. Atmospheric Boundary Layer (ABL) height is a basic parameter to define the...

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Bibliographic Details
Main Authors: Nishant Kumar, Kirti Soni, Ravinder Agarwal
Format: Article
Language:English
Published: Stockholm University Press 2021-01-01
Series:Tellus: Series A, Dynamic Meteorology and Oceanography
Subjects:
atmospheric boundary layer height
lstm network
sodar
deep learning
Online Access:http://dx.doi.org/10.1080/16000870.2021.1926132

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