Article
Environmental Sciences
Pratika Chawala, R. Shanmuga Priyan, S. M. Shiva Nagendra
Summary: The Indo-Gangetic Plains (IGP) in India are highly polluted, and understanding the impact of landscape factors on air pollution is crucial for sustainable development. Satellite data analysis from 2005 to 2019 showed an overall increase in aerosol and sulfur dioxide levels, with the lower IGP experiencing the highest rate of enhancement. However, nitrogen dioxide levels decreased after 2012, except in the middle IGP.
ENVIRONMENTAL RESEARCH
(2023)
Article
Environmental Sciences
Igor B. Konovalov, Nikolai A. Golovushkin, Matthias Beekmann, Solene Turquety
Summary: This study examined the feasibility of statistically characterizing the evolution of BrC absorption and related parameters in smoke plumes from intense wildfires in Siberia using a combination of data from three satellite instruments. The results showed a significant decrease in BrC absorption over time, but it remained considerable. This study provides valuable insights into the atmospheric evolution of BrC absorption and the partitioning of BrC and BC contributions to the total light absorption by BB aerosol.
Article
Environmental Sciences
Nivedita Sanwlani, Reshmi Das
Summary: This study derived the mineral composition of airborne dust aerosols using satellite optical measurements and compared it with chemically analyzed elemental concentrations. The results showed a high correlation between the derived mineral concentrations and the elemental concentrations, and the derived mineral concentrations were consistent with other monitoring data.
Article
Environmental Sciences
Somaya Falah, Alaa Mhawish, Ali H. Omar, Meytar Sorek-Hamer, Alexei Lyapustin, Tirthankar Banerjee, Fadi Kizel, David M. Broday
Summary: This study examines uncertainties in the retrieval of Aerosol Optical Depth (AOD) for different aerosol types using satellite-borne aerosol retrieval products. The results show systematic differences between CALIOP and MODIS/MAIAC AOD, which are closely related to the reported aerosol types. Considering aerosol type may be useful for predicting surface PM and quantifying the broader environmental impacts of aerosols.
Article
Environmental Sciences
Ronald Opio, Isaac Mugume, Joyce Nakatumba-Nabende
Summary: This study used satellite observations to investigate the trends of nitrogen dioxide, sulfur dioxide, and carbon monoxide in the East African region, identifying seasonal fires in savanna woodlands and urban areas as major sources of pollution. The study found no trend in nitrogen dioxide, a decreasing trend in sulfur dioxide, and varying trends in carbon monoxide at different altitudes in the atmosphere.
Article
Environmental Sciences
Yu Wang, Md. Arfan Ali, Muhammad Bilal, Zhongfeng Qiu, Alaa Mhawish, Mansour Almazroui, Shamsuddin Shahid, M. Nazrul Islam, Yuanzhi Zhang, Md. Nazmul Haque
Summary: The study analyzed the spatial distribution and variability of NO2 and SO2 in Jiangsu Province, identifying industry as the dominant pollution source with high levels of pollution, especially in winter. Trends showed decreasing levels of NO2 during strict air pollution control policy periods. Industry was found to be a significant contributor to air pollution in Jiangsu Province.
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
Alaa Mhawish, Meytar Sorek-Hamer, Robert Chatfield, Tirthankar Banerjee, Muhammad Bilal, Manish Kumar, Chandan Sarangi, Meredith Franklin, Khang Chau, Michael Garay, Olga Kalashnikova
Summary: The study found an increasing trend in aerosol loading over South Asia from 2000 to 2019, with the highest aerosol loading observed during the monsoon season. Natural aerosol emissions and local anthropogenic emissions were identified as the main drivers of high AOD during monsoon and pre-monsoon seasons. High humidity during the monsoon season favored the hygroscopic growth of particles, leading to higher AOD values. The high spatial resolutions of MODIS/MAIAC and MISR aerosol products enabled the identification of previously unobserved aerosol hotspots.
REMOTE SENSING OF 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
Nan Li, Keqin Tang, Yi Wang, Jun Wang, Weihang Feng, Haoran Zhang, Hong Liao, Jianlin Hu, Xin Long, Chong Shi, Xiaoli Su
Summary: Satellite-based inverse modeling shows high efficacy for improving air quality forecast in China by improving the SO2 and aerosol predictions of CTMs using similar emission inventories. With the upcoming geostationary air quality monitoring satellites, a new era of rapid emission updates using a top-down approach is emerging for regional air quality forecast.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Lerato Shikwambana, Mahlatse Kganyago
Summary: Aircraft emissions contribute to air pollution, affecting air quality and human health, while the global lockdown led to a significant decrease in aircraft movements and nitrogen oxide emissions at major airports in South Africa, resulting in a temporary improvement in air quality.
Article
Environmental Sciences
Fang Zhang, Jianfei Peng, Lu Chen, Don Collins, Yixin Li, Sihui Jiang, Jieyao Liu, Renyi Zhang
Summary: The atmospheric aging of black carbon (BC) has complex effects on the environment and climate. Laboratory experiments showed that the aging process led to changes in the morphology, hygroscopicity, and optical properties of BC particles, resulting in enhanced light absorption. The composition of the coating materials on BC played a critical role in determining the light absorption enhancement. Additionally, the aging of BC particles could significantly enhance light absorption in humid conditions.
ENVIRONMENTAL RESEARCH
(2022)
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.
Article
Meteorology & Atmospheric Sciences
Minghui Tao, Liangfu Chen, Jun Wang, Lili Wang, Wencai Wang, Changqing Lin, Lu Gui, Lunche Wang, Chao Yu, Yi Wang
Summary: Mineral dust from East Asia deserts and arid areas significantly impact regional climate and air quality, with unnoticed yet frequent dust plumes being the main source of dust particles. Dust storms are mostly observed in spring, with lower frequency of dust activities in the Gobi deserts. Strong temperature inversion during winter and early spring can delay mixing of dust pollution, while uncertainties exist in MERRA2 reanalysis in reproducing spatial locations of dust hotspots.
ATMOSPHERIC RESEARCH
(2022)
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
Environmental Sciences
Yanyu Wang, Jun Wang, Huanxin Zhang, Nathan Janechek, Yi Wang, Meng Zhou, Pengke Shen, Jianguo Tan, Qianshan He, Tiantao Cheng, Cheng Huang
Summary: Unprecedented land use and land cover change (LULCC) has occurred in China in the past two decades. This study quantifies the impact of LULCC on summer temperatures in urban and rural areas in Eastern China from 2003 to 2019. The results show that LULCC causes urban areas, especially new urban areas, to become warmer, while rural areas become cooler and greener. The analysis also reveals that reductions in latent heat play a dominant role in urban warming. The study highlights the importance of larger greenspaces and albedo management in urban areas as part of LULCC policies to alleviate temperature disparity between urban and rural areas.
ATMOSPHERIC ENVIRONMENT
(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
Environmental Sciences
Ruijun Dang, Daniel J. Jacob, Viral Shah, Sebastian D. Eastham, Thibaud M. Fritz, Loretta J. Mickley, Tianjia Liu, Yi Wang, Jun Wang
Summary: Satellite measurements of tropospheric nitrogen dioxide (NO2) have been widely used to track anthropogenic NOx emissions, but the interpretation can be complicated due to the influence of the free tropospheric NO2 background. The study used a chemical transport model to better understand the sources and trends of background NO2 over the contiguous US (CONUS) and found that accounting for aerosol nitrate photolysis corrected the previous model underestimate of the background. Additionally, the increase in aircraft NOx emissions and contribution from wildfires were identified as important factors in the interpretation of satellite NO2 trends.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(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
Geochemistry & Geophysics
Meng Zhou, Jun Wang, Lorena Castro Garcia, Xi Chen, Arlindo M. da Silva, Zhuosen Wang, Miguel O. Roman, Edward J. Hyer, Steven D. Miller
Summary: We introduce the second-generation Fire Light Detection Algorithm (FILDA-2), which improves fire detection and retrieval of radiative power (FRP), fire visible energy fraction (VEF), and fire modified combustion efficiency (MCE) using multiple-spectral radiances measured by VIIRS. FILDA-2 can detect smaller and cooler fires than the operational VIIRS algorithm and provides daily global pixel-level characterizations of MCE for nighttime surface fires.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Meteorology & Atmospheric Sciences
John E. Yorks, Jun Wang, Matthew J. McGill, Melanie Follette -Cook, Edward P. Nowottnick, Jeffrey S. Reid, Peter R. Colarco, Jianglong Zhang, Olga Kalashnikova, Hongbin Yu, Franco Marenco, Joseph A. Santanello, Tammy M. Weckwerth, Zhanqing Li, James R. Campbell, Ping Yang, Minghui Diao, Vincent Noel, Kerry G. Meyer, James L. Carr, Michael Garay, Kenneth Christian, Angela Bennedetti, Allison M. Ring, Alice Crawford, Michael J. Pavolonis, Valentina Aquila, Jhoon Kim, Shobha Kondragunta
Summary: A SmallSat mission concept called TOMCAT is proposed to carry out time-varying optical measurements of clouds and aerosol transport from space. TOMCAT aims to statistically resolve diurnal and vertical variation of cloud properties, determine the impacts of boundary layer diurnal variation on air quality and cloud distributions, and characterize smoke and dust emission processes. TOMCAT plans to deliver its data products in near-real time and offer hazard-monitoring capabilities for smoke, dust, and volcanic plumes.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(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)
Article
Environmental Sciences
Jing Wei, Zhanqing Li, Jun Wang, Can Li, Pawan Gupta, Maureen Cribb
Summary: This study utilizes big data and artificial-intelligence technologies to generate daily maps of three major pollutant gases (NO2, SO2, and CO) across China from 2013 to 2020. The data quality is high, with coefficients of determination ranging from 0.80 to 0.84. The study also finds sustained impacts of the COVID-19 lockdown on gaseous pollutants, with different recovery rates for different gases and a gradual decline in pollutant concentrations over time.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2023)
Proceedings Paper
Geosciences, Multidisciplinary
Zeyuan Ru, Jun Wang, Spencer Kuhl, Lorena Castro Garcia, Xin Qiao, Daniel Reed
Summary: This article describes the design and development of a smart-and-connected low-cost I-Canopy sensor system, which can monitor near-surface air and soil properties in real-time through IoT devices, particularly suitable for rural areas lacking real-time data.
2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022)
(2022)
Article
Geosciences, Multidisciplinary
Gonzalo A. Ferrada, Meng Zhou, Jun Wang, Alexei Lyapustin, Yujie Wang, Saulo R. Freitas, Gregory R. Carmichael
Summary: A new open biomass burning inventory based on VIIRS data was compared with other major inventories, showing similar results. Regional simulations and comparisons with observational datasets demonstrated good agreement and accurate representation of smoke concentrations.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2022)