Article
Geosciences, Multidisciplinary
Jun Meng, Randall Martin, Paul Ginoux, Melanie Hammer, Melissa P. Sulprizio, David A. Ridley, Aaron van Donkelaar
Summary: The study addresses the challenge of harmonizing dust emissions in models of different resolutions by generating offline high-resolution dust emissions based on native meteorological fields. The use of these emissions improves the performance of simulated aerosol optical depth compared to standard online emissions, as demonstrated by better representation of in situ measurements from a global climatology.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2021)
Article
Environmental Sciences
Rong Tian, Xiaoyan Ma, Jianqi Zhao
Summary: Mineral dust plays a significant role in climate change and air quality, but there are still challenges in predicting dust emissions. This study used an improved model to conduct sensitivity simulations, showing that the updated model can more accurately simulate threshold friction velocities and PM10 mass concentrations, improving the model performance.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2021)
Article
Environmental Sciences
Y. AboEl-Fetouh, N. T. O'Neill, J. K. Kodros, J. R. Pierce, H. Lu, K. Ranjbar, P. Xian
Summary: The GEOS-Chem TOMAS (GCT) simulations of AERONET-inversion products during 2015 were compared with AERONET-inversion products from the multi-year climatology of AboEl-Fetouh et al. (2020). The study found that while GCT captured the springtime coarse mode (CM) peak and the late summer/fall increase in amplitude of that peak, it did not capture the spring to summer radius increase of the fine mode (FM) peak. The lack of capturing the FM radius increase was attributed to the large GCT cell size and difficulties in modeling coagulation-induced smoke particle size. The large deviations between GCT and AERONET retrievals were attributed to an extreme forest fire event in July 2015.
ATMOSPHERIC ENVIRONMENT
(2022)
Article
Meteorology & Atmospheric Sciences
Jianglong Zhang, Jeffrey S. Reid, Steven D. Miller, Miguel Roman, Zhuosen Wang, Robert J. D. Spurr, Shawn Jaker
Summary: This study adapted the SHDOM 3-D radiative transfer model to simulate nighttime TOA radiances observed by VIIRS-DNB. The study examined the impact of observing conditions and aerosol properties on the simulated radiances and investigated the potential for aerosol retrievals using observed radiances containing VIIRS-DNB bright pixels from artificial light sources. The study demonstrated the feasibility of retrieving nighttime AODs using the 3-D RTM SHDOM over artificial light sources.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2023)
Article
Meteorology & Atmospheric Sciences
Qi-Xiang Chen, Xin-Lei Han, Yu Gu, Yuan Yuan, Jonathan H. Jiang, Xue-Bo Yang, Kuo-Nan Liou, He-Ping Tan
Summary: This study comprehensively evaluated eight aerosol optical depth (AOD) products from various satellite instruments against ground-based measurements, finding that MODIS DB products generally outperform DT products and VIIRS shows the best overall performance. MISR tends to underestimate AOD in moderate and high conditions. Regional differences in AOD bias and seasonal variations in stability were observed. Further improvements are needed for extreme conditions such as very fine aerosols and high precipitable water and temperature.
ATMOSPHERIC RESEARCH
(2022)
Article
Environmental Sciences
Melanie S. Hammer, Aaron van Donkelaar, Liam Bindle, Andrew M. Sayer, Jaehwa Lee, N. Christina Hsu, Robert C. Levy, Virginia Sawyer, Michael J. Garay, Olga V. Kalashnikova, Ralph A. Kahn, Alexei Lyapustin, Randall V. Martin
Summary: Exposure to PM2.5 is a major global environmental risk, and satellite-derived estimates are relied upon for health impact studies. This study examines the impact of satellite AOD data sources on global PM2.5 estimation and the continued use of AOD from the VIIRS instrument after the loss of MODIS and MISR. The results show that incorporating VIIRS AOD products causes regional differences, but statistical fusion with ground monitor data helps correct for sampling differences.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Rong Tian, Xiaoyan Ma, Tong Sha, Xiaole Pan, Zhe Wang
Summary: This study investigated the impact of dust heterogeneous chemistry during a dust pollution event in North China. The role of relative humidity in dust heterogeneous chemistry is found to be significant, with model simulation showing improved performance when incorporating RH-dependent parameterizations. Overall, heterogeneous reactions contribute to 20-30% of sulfate formation in North China.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Qiangqiang Xu, Xiaoling Chen, Dipesh Rupakheti, Jiadan Dong, Linling Tang, Shichang Kang
Summary: This study systematically investigated the relationship between satellite AOD and ground-level PM2.5 across China and its 14 representative regions during 2016-2018. The results showed strong correlations between different algorithms of AOD and PM2.5, providing guidance for estimating PM2.5 based on AOD in different regions of China.
Article
Meteorology & Atmospheric Sciences
Jaisankar Bharath, Tumuluru Venkata Lakshmi Kumar, Vanda Salgueiro, Maria Joao Costa, Rajesh Kumar Mall
Summary: This study compares the global and regional trends of aerosol optical depth (AOD) from model simulations with satellite retrievals and analyzes the intermodel variations. The study finds that the model simulations overestimate AOD in certain regions and shows differences in simulating aerosol size distribution among different models.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2023)
Article
Engineering, Aerospace
Lijuan Chen, Ren Wang, Geng Wei, Jiamei Han, Yong Zha
Summary: A new method for retrieving MISR AOD data supported by MODIS data in Jiangsu Province, China, is proposed in this study. The accuracy of the MISR AOD retrieval was notably improved after correcting the MISR surface reflectance.
ADVANCES IN SPACE RESEARCH
(2021)
Article
Environmental Sciences
Somaya Falah, Alaa Mhawish, Meytar Sorek-Hamer, Alexei I. Lyapustin, Itai Kloog, Tirthankar Banerjee, Fadi Kizel, David M. Broday
Summary: This study highlights the importance of spatial and temporal averaging in AOD retrievals, as well as the significant impact of different environmental attributes on the accuracy of MAIAC AOD retrievals. Vegetated areas showed better performance in AOD retrievals compared to arid areas, indicating the sensitivity of retrieval accuracy to environmental factors.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Environmental Sciences
Feng Wang, Mengqiang Wang, Yunfeng Kong, Haopeng Zhang, Xutong Ru, Hongquan Song
Summary: Dust emissions from arid and semi-arid areas of China significantly contribute to global atmospheric aerosols. This study simulated the spatial and temporal variations in spring dust concentrations in China from 2000 to 2020, and found that the dust concentrations showed clear spatial and temporal differences, with a slight increasing trend overall.
Article
Meteorology & Atmospheric Sciences
Arka Mitra, Jesse Ray Loveridge, Larry Di Girolamo
Summary: We develop a new algorithm using MODIS and MISR sensors to accurately determine the cloud-top pressure and emissivity of double-layer clouds. Compared to traditional MODIS products, this algorithm reduces the biases in upper cloud pressure and emissivity, improving the accuracy of cloud height and radiative characteristics.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Environmental Sciences
Marie Shaylor, Helen Brindley, Alistair Sellar
Summary: This article presents an evaluation of MODIS retrievals of Aerosol Optical Depth (AOD) in Australia from 2001 to 2020. The study compares the Deep Blue (DB) and Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithms and investigates the differences in their performance in different regions and seasons. The results show that MAIAC values are generally higher than DB values, but the patterns of behavior vary across regions and seasons. Site-level comparisons suggest that MAIAC slightly outperforms DB in terms of correlation and root-mean-square error, especially for most surface types.
Article
Environmental Sciences
Lei Li, Huizheng Che, Xin Su, Xindan Zhang, Ke Gui, Yu Zheng, Hujia Zhao, Hengheng Zhao, Yuanxin Liang, Yadong Lei, Lei Zhang, Junting Zhong, Zhili Wang, Xiaoye Zhang
Summary: The aerosol optical property products of MERRA-2 reanalysis dataset have been extensively studied, but there is still limited understanding of its temporal and spatial scale. Recently, aerosol component products have been derived from satellite observations and evaluated against MERRA-2 products. The results show good agreement in temporal variation of dust and black carbon concentration, with some regional differences.
Editorial Material
Meteorology & Atmospheric Sciences
Zhiyuan Hu, Yuanyuan Ma, Qinjian Jin, Nkurunziza Fabien Idrissa, Jianping Huang, Wenjie Dong
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2023)
Article
Meteorology & Atmospheric Sciences
Dongdong Li, Renhe Zhang, Jianping Huang
Summary: This study explores the relationship between reduced sea ice concentration (SIC) in the Barents-Kara Seas and Ural circulation anomalies. It is found that when the SIC passes a critical threshold, a regime transition occurs in the Ural circulation patterns. The results suggest an increased incidence of both positive and negative anomalies of Ural atmospheric circulation under the recent SIC reduction.
Article
Environmental Sciences
Yongkun Xie, Jianping Huang, Guoxiong Wu, Nan Lei, Yimin Liu
Summary: The study finds that enhanced Asian warming is a factor underlying Arctic amplification. Simulations show that Asian warming contributes 22% of the amplified warming over the Barents-Kara Seas (BKS) in winter. Asian warming affects the Arctic by influencing poleward atmospheric heat and moisture transport, triggering local feedbacks and facilitating BKS warming amplification.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Engineering, Environmental
Fan Yang, Jianping Huang, Chenglong Zhou, Xinghua Yang, Ali Mamtimin, Xinqian Zheng, Wen Huo, Fei Ji, Dongliang Han, Lu Meng, Jiacheng Gao, Meiqi Song, Yu Wang, Congzhen Zhu
Summary: Heavy precipitation accelerates the weakening of abiotic carbon sequestration in deserts under global warming and intensified water cycle. High soil moisture stimulates sand to release CO2 at a rapid speed by increasing microbial activity and organic matter diffusion.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Engineering, Environmental
Jing Wei, Zhanqing Li, Xi Chen, Chi Li, Yele Sun, Jun Wang, Alexei Lyapustin, Guy Pierre Brasseur, Mengjiao Jiang, Lin Sun, Tao Wang, Chang Hoon Jung, Bing Qiu, Cuilan Fang, Xuhui Liu, Jinrui Hao, Yan Wang, Ming Zhan, Xiaohong Song, Yuewei Liu
Summary: In this study, a four-dimensional spatiotemporal deep forest model was used to estimate the chemical composition of PM2.5 in China. The results show that secondary inorganic aerosols (SIAs) are a major component of PM2.5, and their proportion has been decreasing in the eastern region. During the COVID-19 lockdown, there was a sharp decline in SIA concentrations and an increase in SIA-to-PM2.5 ratios, indicating enhanced atmospheric oxidation capacity and the formation of secondary particles.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Geosciences, Multidisciplinary
Zhendong Lu, Jun Wang, Xi Chen, Jing Zeng, Yi Wang, Xiaoguang Xu, Kenneth E. Christian, John E. Yorks, Edward P. Nowottnick, Jeffrey S. Reid, Peng Xian
Summary: For the first time, monthly and hourly climatology of Saharan dust layer height over the Atlantic at a spatial resolution of about 10 km is obtained using a passive remote sensing technique. This study utilizes multiple years of Earth Polychromatic Imaging Camera (EPIC) data to generate a climate data record (CDR) of aerosol optical centroid height (AOCH) at the Lagrange-1 point. The results demonstrate strong agreement with CALIOP and CATS data, and highlight the unique capabilities of the EPIC AOCH CDR.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Meteorology & Atmospheric Sciences
Pengfei Tian, Zeren Yu, Chen Cui, Jianping Huang, Chenliang Kang, Jinsen Shi, Xianjie Cao, Lei Zhang
Summary: This study found that the single-scattering albedo (SSA) of atmospheric aerosols in the Himalayas is primarily modulated by size distribution rather than absorption. This finding has important implications for understanding aerosol radiative effects globally.
NPJ CLIMATE AND ATMOSPHERIC SCIENCE
(2023)
Article
Environmental Sciences
Qian Xiao, Yue Lyu, Meng Zhou, Jiachen Lu, Kehe Zhang, Jun Wang, Cici Bauer
Summary: Recent research suggests that disadvantaged neighborhoods may be exposed to higher levels of Artificial Light at Night (ALAN). Understanding the correlation between social disadvantage and ALAN levels is crucial for identifying vulnerable populations and informing lighting policy.
ENVIRONMENT INTERNATIONAL
(2023)
Article
Environmental Sciences
Xin Xi, Daniel Steinfeld, Steven M. Cavallo, Jun Wang, Jiquan Chen, Kanat Zulpykharov, Geoffrey M. Henebry
Summary: An unseasonal dust storm hit Central Asia, setting records for aerosol burden and fine particulate concentration. The storm was caused by a combination of agricultural drought, high winds, and cold air outbreaks. These weather events were driven by a series of processes involving synoptic-scale transient Rossby wave packets and upper-level wave breaking, resulting in a compound weather event in Uzbekistan.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Geosciences, Multidisciplinary
Jinxia Zhang, Shanshan Wang, Jianping Huang, Yongli He, Yu Ren
Summary: The amount, frequency, and intensity of extreme precipitation in Xinjiang have increased dramatically due to the wetting trend in Northwest China. The long-term trends in the precipitation-recycling process have been largely unexplored. A study using a dynamic recycling model and MERRA2 reanalysis found that the mean recycling ratio for extreme precipitation in Xinjiang is 42.3% with a growth rate of 2.3% per decade during 1982-2019. The increasing trend of extreme precipitation is almost equally attributed to increased recycling precipitation (49%) and external precipitation (51%). The Tianshan Mountains region and Kunlun Mountains region in Xinjiang exhibit variations in the water cycle, with the external cycle predominating the increased extreme precipitation in the Tianshan Mountains region and the recycling process mainly influencing the increase in the Kunlun Mountains region due to enhanced evapotranspiration.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Engineering, Environmental
Xiaoyue Liu, Li Wang, Jianping Huang, Yongqi Wang, Changyu Li, Lei Ding, Xinbo Lian, Jinsen Shi
Summary: This study explores the covariation between atmospheric O-2 and pollutants in Lanzhou and finds that natural dust transport can mitigate the depletion of O-2 caused by anthropogenic particulate matter. It also identifies a nonlinear relationship between O-2 and pollutant concentrations.
ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS
(2023)
Article
Multidisciplinary Sciences
Yongkun Xie, Jianping Huang, Guoxiong Wu, Yimin Liu, Wenhao Dong, Mengmeng Lu, Bian He, Zifan Su, Qing Bao, Qingyun Zhao, Yuzhi Liu
Summary: The study finds that the Pacific and Atlantic Oceans act as efficient repeaters, amplifying the influence of the Tibetan Plateau (TP) on global climate. Simulations show that TP heating can cause climate changes across the globe, with a 1°C TP warming resulting in a 0.73°C temperature increase over North America. Air-sea interactions and relevant atmospheric circulation play a crucial role in the influence of oceanic repeaters.
Article
Meteorology & Atmospheric Sciences
Bin Chen, Li Dong, Jianping Huang, Yixuan Wang, Zhikun Jing, Wei Yan, Xin Wang, Zhihao Song, Zhongwei Huang, Xiaodan Guan, Xuefeng Dong, Yue Huang
Summary: This paper uses 15 years of CALIOP data to reveal the vertical distribution and trends of aerosol optical properties in China. The results show significant regional and seasonal differences in the vertical distribution of aerosols, with polluted dust aerosols having the highest frequency in Beijing-Tianjin-Hebei and Central China. The changes in aerosols are influenced by sources and long-range transport pathways.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Geochemistry & Geophysics
Wenhui Dong, Minghui Tao, Xiaoguang Xu, Jun Wang, Yi Wang, Lunche Wang, Yinyu Song, Meng Fan, Liangfu Chen
Summary: In this study, the information content of POLDER-3 and 3MI observations for aerosol retrievals and the corresponding parameters' posterior errors were comprehensively analyzed using the Bayesian theory. The results showed that the total degree of freedom for signal of aerosol retrievals is increased with the incorporation of 3MI. The retrieval accuracy of volume concentration and effective radius is high in fine dominant conditions, but gets lower in coarse dominant conditions. The advanced 3MI measurements can improve the retrieval uncertainties of POLDER-3.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Meteorology & Atmospheric Sciences
Meng Gao, Kirk Knobelspiesse, Bryan A. Franz, Peng-Wang Zhai, Brian Cairns, Xiaoguang Xu, J. Vanderlei Martins
Summary: Multi-angle polarimetric (MAP) measurements provide rich information for characterizing aerosol properties and improving atmospheric correction in ocean color remote sensing. This work proposes a practical framework to evaluate the impact of angular uncertainty correlation and estimate correlation strength from retrieval fitting residuals. The FastMAPOL retrieval algorithm, based on neural-network forward models, is used to perform retrievals and uncertainty quantification. The study demonstrates the importance of considering angular correlation in retrieval uncertainties and provides a flexible approach to incorporate a correlated uncertainty model in the retrieval algorithm.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2023)