Explanipedia

Ground-based tropospheric ozone measurements: regional tropospheric ozone column trends from the TOAR-II/HEGIFTOM homogenized datasets Open

Roeland Van Malderen, Zhou Zang, Kai‐Lan Chang, Robin Björklund, Owen R. Cooper , et al. · 2025

Quantifying long-term free-tropospheric ozone trends is essential for understanding the impact of human activities and climate change on atmospheric chemistry. However, this is complicated by two key challenges: the differences among exist…

Two-decade spatiotemporal variations in ground-level ozone over Ontario, Canada Open

Zhou Zang, Jane Liu, Erjia Ge, Yi Zhang · 2025

Introduction Ground-level ozone (O 3 ) remains a persistent air quality concern in Ontario, Canada’s most populous province. Understanding long-term trends and spatially explicit details of O 3 is important for supporting air quality manag…

Present situation, problems and suggestions of advanced optical ultra-precision manufacturing technology Open

Xin Zhang, Kuo Hai, Zizheng LI, Yinghuai ZHANG, B. R. Zhang , et al. · 2025

Ground-based Tropospheric Ozone Measurements: Regional tropospheric ozone column trends from the TOAR-II/ HEGIFTOM homogenized datasets Open

Roeland Van Malderen, Zhou Zang, Kai‐Lan Chang, Robin Björklund, Owen R. Cooper , et al. · 2025

The quantification of long-term free-tropospheric ozone trends is essential for understanding the impact of human activities and climate change on atmospheric chemistry, but is challenged by the diversity between satellite tropospheric ozo…

Effects of the DailyColors™ polyphenol supplement on serum proteome, cognitive function, and health in older adults at risk of cognitive and functional decline Open

Mary F. O’Leary, Joanna L. Bowtell, Megan Richards, Esra Bozbaş, Abbie Palmer , et al. · 2025

DailyColors™, a polyphenol-rich supplement inspired by the Mediterranean diet, improved cognition, physical fitness, and markers of systemic health in older, overweight adults. It may have anti-inflammatory benefits.

The improved Trajectory-mapped Ozonesonde dataset for the Stratosphere and Troposphere (TOST): update, validation and applications Open

Zhou Zang, Jane Liu, D. W. Tarasick, Omid Moeini, Jianchun Bian , et al. · 2024

A global-scale horizontally and vertically resolved ozone climatology provides detailed insights into ozone variability. Here, the seasonal, annual and decadal monthly Trajectory-mapped Ozonesonde dataset for the Stratosphere and Troposphe…

Aramid Nanofibers at Ultralow Loadings: Driving Significant Multifunctionality in Epoxy Composite Dielectrics Open

Haowen Yuan, Zi Wang, Zhou Zang, Qingzhou Wu, Guoqing Jiang , et al. · 2024

Epoxy materials with superior dielectric, mechanical, and thermal performance are of great interesting for electrical equipment and power electronics. However, integrating these excellent advantages into epoxy materials presents a formidab…

Stratospheric influence on surface ozone pollution in China Open

Zhixiong Chen, Jane Liu, Xiushu Qie, Xugeng Cheng, Mengmiao Yang , et al. · 2024

Comment on egusphere-2024-800 Open

Zhou Zang, Jane Liu, D. W. Tarasick, Omid Moeini, Jianchun Bian , et al. · 2024

Abstract. A global-scale horizontally- and vertically-resolved ozone climatology can provide a detailed assessment of ozone variability. Here, the Trajectory-mapped Ozonesonde dataset for the Stratosphere and Troposphere (…

Wide and Deep Learning Model for Satellite-Based Real-Time Aerosol Retrievals in China Open

Nana Luo, Junxiao Zou, Zhou Zang, Yuan Chen, Xing Yan · 2024

Machine learning methods have been recognized as rapid methods for satellite-based aerosol retrievals but have not been widely applied in geostationary satellites. In this study, we developed a wide and deep learning model to retrieve the …

An improved Trajectory-mapped Ozonesonde dataset for the Stratosphere and Troposphere (TOST): update, validation and applications Open

Zhou Zang, Jane Liu, D. W. Tarasick, Omid Moeini, Jianchun Bian , et al. · 2024

A global-scale horizontally- and vertically-resolved ozone climatology can provide a detailed assessment of ozone variability. Here, the Trajectory-mapped Ozonesonde dataset for the Stratosphere and Troposphere (TOST) ozone climatology is …

Supplementary material to "An improved Trajectory-mapped Ozonesonde dataset for the Stratosphere and Troposphere (TOST): update, validation and applications" Open

Zhou Zang, Jane Liu, D. W. Tarasick, Omid Moeini, Jianchun Bian , et al. · 2024

Table S1.Information on the ozonesonde stations used, including each station's ID number, name, locations, the number of profiles used, and measurement period.The stations in bold fonts are the stations showing a drop-off of 2-8% in the st…

Global daily 0.5 deg coarse mode aerosol optical depth (cAOD) from 2001 to 2021 Open

Zhou Zang · 2023

Coarse mode aerosol optical depth (cAOD) is critical for understanding the impact of coarse mode particles on climate, such as dust. Currently, the limited data length and high uncertainty of satellite products impair the applicability of …

Global daily 0.5 deg coarse mode aerosol optical depth (cAOD) from 2001 to 2021 Open

Zhou Zang · 2023

Coarse mode aerosol optical depth (cAOD) is critical for understanding the impact of coarse mode particles on climate, such as dust. Currently, the limited data length and high uncertainty of satellite products impair the applicability of …

Global coarse and fine mode aerosol optical depth (cAOD, fAOD) from 2001 to 2020 Open

Zhou Zang · 2022

Coarse and fine mode aerosol optical depth (cAOD, fAOD) is critical for understanding the impact of different particle sizes on climate. Currently, the limited data length and high uncertainty of satellite products impair the applicability…

Global coarse and fine mode aerosol optical depth (cAOD, fAOD) from 2001 to 2020 Open

Zhou Zang · 2022

Coarse and fine mode aerosol optical depth (cAOD, fAOD) is critical for understanding the impact of different particle sizes on climate. Currently, the limited data length and high uncertainty of satellite products impair the applicability…

A global land aerosol fine-mode fraction dataset (2001–2020) retrieved from MODIS using hybrid physical and deep learning approaches Open

Xing Yan, Zhou Zang, Zhanqing Li, Nana Luo, Chen Zuo , et al. · 2022

The aerosol fine-mode fraction (FMF) is valuable for discriminating natural aerosols from anthropogenic ones. However, most current satellite-based FMF products are highly unreliable over land. Here, we developed a new satellite-based glob…

Comment on essd-2021-326 Open

Xing Yan, Zhou Zang, Zhanqing Li, Nana Luo, Chen Zuo , et al. · 2021

Abstract. The aerosol fine-mode fraction (FMF) is valuable for discriminating natural aerosols from anthropogenic ones. However, most current satellite-based FMF products are highly unreliable over land. Here, we developed…

A global land aerosol fine-mode fraction dataset (2001–2020) retrieved from MODIS using hybrid physical and deep learning approaches Open

Xing Yan, Zhou Zang, Zhanqing Li, Nana Luo, Chen Zuo , et al. · 2021

The aerosol fine-mode fraction (FMF) is potentially valuable for discriminating natural aerosols from anthropogenic ones. However, most current satellite-based FMF products are highly unreliable. Here, we developed a new satellite-based gl…

Supplementary material to "A global land aerosol fine-mode fraction dataset (2001–2020) retrieved from MODIS using hybrid physical and deep learning approaches" Open

Xing Yan, Zhou Zang, Zhanqing Li, Nana Luo, Zuozhi Chen , et al. · 2021

Tree-based ensemble deep learning model for spatiotemporal surface ozone (O3) prediction and interpretation Open

Zhou Zang, Yushan Guo, Yize Jiang, Chen Zuo, Dan Li , et al. · 2021

Tree-based machine learning and deep learning approaches are widely applied in ozone (O3) retrieval, but they cannot achieve high accuracy and interpretability simultaneously. To overcome this limitation, a tree-based ensemble deep learnin…

Superior PM2.5 Estimation by Integrating Aerosol Fine Mode Data from the Himawari-8 Satellite in Deep and Classical Machine Learning Models Open

Zhou Zang, Dan Li, Yushan Guo, Wenzhong Shi, Xing Yan · 2021

Artificial intelligence is widely applied to estimate ground-level fine particulate matter (PM2.5) from satellite data by constructing the relationship between the aerosol optical thickness (AOT) and the surface PM2.5 concentration. Howeve…

Understanding global changes in fine-mode aerosols during 2008–2017 using statistical methods and deep learning approach Open

Xing Yan, Zhou Zang, Chuanfeng Zhao, Husi Letu · 2021

Despite their extremely small size, fine-mode aerosols have significant impacts on the environment, climate, and human health. However, current understandings of global changes in fine-mode aerosols are limited. In this study, we employed …

New interpretable deep learning model to monitor real-time PM2.5 concentrations from satellite data Open

Xing Yan, Zhou Zang, Nana Luo, Yize Jiang, Zhanqing Li · 2020

Particulate matter with a mass concentration of particles with a diameter less than 2.5 μm (PM_2.5) is a key air quality parameter. A real-time knowledge of PM_2.5 is highly valuable for lowering the risk of detrimental…

Simplified and Fast Atmospheric Radiative Transfer model for satellite-based aerosol optical depth retrieval Open

Xing Yan, Nana Luo, Liang Chen, Zhou Zang, Wenji Zhao , et al. · 2020

Fugitive Road Dust PM<sub>2.5</sub> Emissions and Their Potential Health Impacts Open

Siyu Chen, Xiaorui Zhang, Jintai Lin, Jianping Huang, Dan Zhao , et al. · 2019

Fugitive road dust (FRD) particles emitted by traffic-generated turbulence are an important contributor to urban ambient fine particulate matter (PM_2.5). Especially in urban areas of developing countries, FRD PM_2.5 em…

Differences in Sulfate Aerosol Radiative Forcing between the Daytime and Nighttime over East Asia Using the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) Model Open

Hongyue Zhang, Siyu Chen, Nanxuan Jiang, Xin Wang, Xiaorui Zhang , et al. · 2018

The effect of aerosols is an important indicator of climate change. Sulfate aerosols, as the major scattering aerosols, which have attracted more and more attention in recent years. The Weather Research and Forecasting model coupled with C…

Quantifying contributions of natural and anthropogenic dust emission from different climatic regions Open

Siyu Chen, Nanxuan Jiang, Jianping Huang, Xiaoguang Xu, Huiwei Zhang , et al. · 2018

To quantitatively estimate the divergences in the natural and anthropogenic dust emission fluxes among different climatic regions, the total dust emissions at the global scale from 2007 to 2010 were simulated in this study. Despite the wid…

Dust modeling over East Asia during the summer of 2010 using the WRF-Chem model Open

Siyu Chen, Tiangang Yuan, Xiaorui Zhang, Guolong Zhang, Taichen Feng , et al. · 2018

An intense summer dust storm over East Asia during June 24-27, 2010, was systematically analyzed based on the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) and a variety of in situ measurements and satellite retr…

Estimations of anthropogenic dust emissions at global scale from 2007 to 2010 Open

Siyu Chen, Jianping Huang, Nanxuan Jiang, Zhou Zang, Xiaodan Guan , et al. · 2017

Dust emissions refer to the spatial displacement of dust particles from wind forcing, which is a key component of dust circulation. It plays an important role in the energy, hydrological, and carbon cycles of the Earth's systems. However, …

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