A novel statistical-dynamical method for a seasonal forecast of particular matter in South Korea-Reference-Cited by-同舟云学术

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A novel statistical-dynamical method for a seasonal forecast of particular matter in South Korea

Published:2022-11 Issue: Volume:848 Page:157699
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Jeong Jee-Hoon,Choi Jahyun,Jeong Ji-Yoon,Woo Sung-Ho,Kim Sang-Woo,Lee Daegyun,Lee Jae-Bum,Yoon Jin-Ho

Funder

Ministry of Environment

Ministry of Science, ICT and Future Planning

Korea Environmental Industry and Technology Institute

National Research Foundation of Korea

National Institute of Environmental Research

Ministry of Education

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference60 articles.

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2. Advances and challenges in climate modeling;Alizadeh;Clim. Chang.,2022

3. An assessment of Land–atmosphere interactions over South America using satellites, reanalysis, and two global climate models;Baker;J. Hydrometeorol.,2021

4. Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models;Bocquet;Atmos. Chem. Phys.,2015

5. The effects of meteorology on ozone in urban areas and their use in assessing ozone trends;Camalier;Atmos. Environ.,2007

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1. Predicting long-term air pollutant concentrations through deep learning-based integration of heterogeneous urban data;Atmospheric Pollution Research;2024-11

2. Development of a monthly PM2.5 forecast model for Seoul, Korea, based on the dynamic climate forecast and a convolutional neural network algorithm;Atmospheric Research;2024-10

3. A Review on Analytical Approaches for Ambient Ozone Open Data in Taiwan;Current Pollution Reports;2024-06-18

4. Dynamical-statistical method for seasonal forecasting of wintertime PM10 concentration in South Korea using multi-model ensemble climate forecasts;Environmental Research Letters;2024-06-01

5. Arctic/North Atlantic atmospheric variability causes Severe PM10 events in South Korea;Science of The Total Environment;2024-03

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