Multi-model Evaluation and Bayesian Model Averaging in Quantitative Air Quality Forecasting in Central China
Abstract There has been much interest in air pollution and the forecasting skill of air quality models in China since winter 2013. Different air quality models use different parameters (e.g., meteorological fields, emission sources and the initial concentrations of pollutants) and therefore their fo...
Saved in:
Main Authors: | Haixia Qi, Shuangliang Ma, Jing Chen, Junping Sun, Lingling Wang, Nan Wang, Weisi Wang, Xiefei Zhi, Hao Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2022-03-01
|
Series: | Aerosol and Air Quality Research |
Subjects: | |
Online Access: | https://doi.org/10.4209/aaqr.210247 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Predicting waste generation using Bayesian model averaging
by: M.G. Hoang, et al.
Published: (2017-12-01) -
The Characteristics of PM2.5 Pollution Episodes during 2016–2019 in Sichuan Basin, China
by: Xiaodong Wu, et al.
Published: (2021-09-01) -
Using the Bayesian Model Averaging Approach for Genomic Selection by Considering Skewed Error Distributions
by: Azadeh Ghazanfari, et al.
Published: (2024-12-01) -
Strategy Design of PM2.5 Controlling for Northern Thailand
by: Karuna Jainontee, et al.
Published: (2023-03-01) -
Human Capital, Economic Growth and Environmental Quality with Special Emphasis on Public Education Expenditures: An Application of DSGE Models
by: Yahya Mohaghegh, et al.
Published: (2024-12-01)