Long-Term Hourly Ozone Forecasting via Time–Frequency Analysis of ICEEMDAN-Decomposed Components: A 36-Hour Forecast for a Site in Beijing

Long-Term Hourly Ozone Forecasting via Time–Frequency Analysis of ICEEMDAN-Decomposed Components: A 36-Hour Forecast for a Site in Beijing

Surface ozone is a pollutant linked to higher risks of cardiopulmonary diseases with long-term exposure. Timely forecasting of ozone levels helps authorities implement preventive measures to protect public health and safety. However, few studies have been able to reliably provide long-term hourly oz...

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Bibliographic Details
Main Authors: Taotao Lv, Yulu Yi, Zhuowen Zheng, Jie Yang, Siwei Li
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Remote Sensing
Subjects:
ozone forecast
ICEEMDAN
BiLSTM
persistence model
Online Access:https://www.mdpi.com/2072-4292/17/14/2530
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