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
Environmental Sciences
Sunxin Jiao, Mingyang Li, Meng Fan, Zhongbin Li, Benben Xu, Jinhua Tao, Liangfu Chen
Summary: This study evaluated the application of multi-angle polarization measurement in satellite remote sensing for aerosol monitoring. By adding angle information and polarization measurements, more comprehensive and accurate retrieval of aerosol optical and microphysical properties can be achieved. The results showed that multi-angle polarization observations had better performance and were suitable for aerosol property retrieval.
Article
Environmental Sciences
Shantikumar S. Ningombam, Pradeep Khatri, E. J. L. Larson, Umesh Chandra Dumka, Chandan Sarangi, R. Vineeth
Summary: Biomass burning releases a large amount of pollutants and aerosols, impacting regional and global climate as well as air quality and human health. This study investigated the temporal and spatial distributions of biomass burning and its contribution to aerosol optical and radiative impacts in six major regions across the globe. The findings revealed that the highest fire counts occurred during the active burning phase, followed by the post and pre burning phases. The active and post fire regimes were characterized by high levels of absorption aerosol optical depth and the presence of mixed aerosols.
SCIENCE OF THE TOTAL ENVIRONMENT
(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
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
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
Zhiyong Yang, Ming Zhang, Lunche Wang, Xin Su, Wenmin Qin
Summary: This study proposes a threshold method to evaluate the diurnal time representation of satellite aerosol optical depth (AOD) products and compares the abilities of different satellites. The results show that the combination algorithm of MISR and MODIS has good DTR, while AHI has poorer DTR.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Ke Gui, Huizheng Che, Yu Zheng, Yaqiang Wang, Lei Zhang, Hujia Zhao, Lei Li, Junting Zhong, Wenrui Yao, Xiaoye Zhang
Summary: This study utilized a long-term dataset to analyze the global climatology of seasonal AODs, with results showing different types and sizes of aerosols contribute differently to the global aerosol impact. The study also found significant declines in seasonal TAOD in most regions globally, with small-size AOD and spherical AOD contributing most significantly to the decrease.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Chunmao Zhu, Takuma Miyakawa, Hitoshi Irie, Yongjoo Choi, Fumikazu Taketani, Yugo Kanaya
Summary: Brown carbon (BrC) aerosols have important warming effects on Earth's radiative forcing. This study evaluated the evolution of the light-absorption properties of BrC aerosols in the Asian outflow region using in-situ filter measurements and sky radiometer observations. The results showed a positive correlation between the light-absorption properties of BrC obtained from different methods, suggesting successful capture of BrC dynamics and climatic effects in East Asia.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Ke Gui, Huizheng Che, Yaqiang Wang, Xiangao Xia, Brent N. Holben, Philippe Goloub, Emilio Cuevas-Agullo, Wenrui Yao, Yu Zheng, Hujia Zhao, Lei Li, Xiaoye Zhang
Summary: This study investigates the applicability of MISR Level-3 (L3) daily and monthly aerosol optical depth (AOD) products over land, comparing them with AERONET and CARSNET data. The results show that while MISR performs well in characterizing regional aerosol loadings, caution is advised in areas with sparse sampling as it tends to overestimate low AOD values and underestimate high AOD values due to misestimation of coarse-mode and fine-mode AODs.
ATMOSPHERIC POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Celia Herrero del Barrio, David Mateos, Roberto Roman, Ramiro Gonzalez, Sara Herrero-Anta, Daniel Gonzalez-Fernandez, Abel Calle, Carlos Toledano, Victoria Eugenia Cachorro, Angel Maximo De Frutos Baraja
Summary: This study analyzes the behavior of nighttime aerosol optical depth (AOD) using data from Valladolid, Spain, from October 2016 to March 2022. The results show a seasonal pattern with lower AOD values in winter and higher values in summer, as well as a strong influence of desert dust events. The added night-time data confirm previous findings and indicate a good correlation between daytime and night-time AOD values. The daily evolution of AOD and angstrom exponent (AE) shows minimal variation over a 24-hour period.
Article
Environmental Sciences
Fangwen Bao, Kai Huang, Shengbiao Wu
Summary: This study proposes a random forest (RF) model driven by a differential operator for aerosol retrieval from geostationary satellite Himawari-8. The model establishes a linear relationship between aerosol optical depth (AOD) and top-of-atmosphere (TOA) reflectance enhancement. It achieves simultaneous retrievals over different surfaces and maintains mathematical correlation between spectral AODs and Angstrom Exponents (AE). The proposed method improves the performance of RF in retrieving aerosol properties and offers a new prospect for aerosol remote sensing.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Geosciences, Multidisciplinary
Xing Yan, Zhou Zang, Zhanqing Li, Nana Luo, Chen Zuo, Yize Jiang, Dan Li, Yushan Guo, Wenji Zhao, Wenzhong Shi, Maureen Cribb
Summary: This study developed a new satellite-based global land daily fine-mode fraction (FMF) dataset, which is more reliable compared to existing products. The dataset combines the advantages of physical and deep learning methods to accurately capture the fine-mode characteristics of aerosols. Comparison with AERONET measurements shows high accuracy of the dataset. Additionally, the study identified different trends in FMF changes across regions and countries.
EARTH SYSTEM SCIENCE DATA
(2022)
Article
Environmental Sciences
Juseon Shin, Juhyeon Sim, Naghmeh Dehkhoda, Sohee Joo, Taegyeong Kim, Gahyeong Kim, Detlef Mueller, Matthias Tesche, Sung-Kyun Shin, Dongho Shin, Youngmin Noh
Summary: The study found that aerosol loading decreased in Europe and Asia, while it increased in the Middle East, India, and North Africa. Particularly, there was a high probability that the average particle size of fine-mode aerosols became smaller in recent years.
Article
Environmental Sciences
Dipesh Rupakheti, Maheswar Rupakheti, Mukesh Rai, Xingna Yu, Xiufeng Yin, Shichang Kang, Musapar D. Orozaliev, Valery P. Sinyakov, Sabur F. Abdullaev, Ishaq Dimeji Sulaymon, Jianlin Hu
Summary: Ground-based observations of atmosphere aerosols over Central Asia are limited. This study investigated the aerosol characteristics over Issyk-Kul, Kyrgyzstan, a background site in Central Asia, using long-term data collected with a sunphotometer. The study found that the aerosol optical depth and Angstrom exponent varied with seasons, with the highest values observed in spring. The dominant aerosol types were clean continental aerosols, followed by mixed aerosols, clean marine aerosols, dust, and urban/industrial and biomass burning aerosols. The aerosol volume size distribution indicated the influence of both anthropogenic and natural aerosols, with the coarse mode dominating during spring. Local and regional sources, as well as long-range transport, contributed to the aerosol over the background site.
ENVIRONMENTAL POLLUTION
(2023)
Article
Environmental Sciences
Jiawen Liao, Yang Liu, Kyle Steenland, Ajay Pillarisetti, Lisa M. Thompson, Sagnik Dey, Kalpana Balakrishnan, Thomas Clasen
Summary: A study conducted in India shows an association between exposure to PM2.5 during the in utero and post-delivery periods and child survival. This study highlights the need for measures to reduce ambient air pollution levels, especially during pregnancy and early life stages, in India and other countries where guideline values are exceeded.
ENVIRONMENTAL HEALTH PERSPECTIVES
(2022)
Article
Environmental Sciences
Shahzad Gani, Pallavi Pant, Sayantan Sarkar, Neha Sharma, Sagnik Dey, Sarath K. Guttikunda, Krishna M. AchutaRao, Jostein Nygard, Ambuj D. Sagar
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Environmental Sciences
Ayan Kumar Banerjee, Soumi Dutta, Sagnik Dey
Summary: This study proposes an analytical framework to estimate the impact of cloud radiative forcing trend on surface temperature trend in India. The satellite observations show varying cloud sensitivity and net cloud radiative forcing across different regions, which result in different seasonal temperature trends.
ENVIRONMENTAL RESEARCH COMMUNICATIONS
(2022)
Article
Meteorology & Atmospheric Sciences
Thumree Sarkar, Sagnik Dey, Dilip Ganguly, Larry Di Girolamo, Yulan Hong
Summary: This article compares three satellite climatologies of cloud genera with surface observations, and finds significant differences in the total cloud amount for different cloud genera. The cloud datasets show the best agreement for Cirrus cloud and the worst for Deep-convective cloud.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Article
Meteorology & Atmospheric Sciences
Anwesa Bhattacharya, Chandra Venkataraman, Tanmay Sarkar, Amit Kumar Sharma, Arushi Sharma, S. Anand, Dilip Ganguly, Rohini Bhawar, Sagnik Dey, Sudipta Ghosh
Summary: Atmospheric aerosols have significant impacts on climate variables, agricultural productivity, soil, and human health. This study investigated the aerosol lifecycle in India through simulations using three general circulation models. The results showed that factors such as regional emissions, dust tuning, satellite data, and nudging technique greatly improved the estimation of aerosol concentrations. However, the models tended to underestimate aerosol concentrations in winter due to overprediction of seasonal planetary boundary layer height and the absence of certain aerosol components. Improvements in vertical mass flux representation are needed for better modeling of aerosol vertical dispersion.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
Correction
Environmental Sciences
Ayan Kumar Banerjee, Soumi Dutta, Sagnik Dey
ENVIRONMENTAL RESEARCH COMMUNICATIONS
(2022)
Article
Green & Sustainable Science & Technology
Ekta Chaudhary, Sagnik Dey, Santu Ghosh, Sumit Sharma, Nimish Singh, Shivang Agarwal, Kushal Tibrewal, Chandra Venkataraman, Anura Kurpad, Aaron J. Cohen, Shuxiao Wang, Srishti Jain
Summary: This study finds that India has one of the highest prevalences of anaemia among women of reproductive age and that long-term exposure to fine particulate matter pollution may increase the prevalence of anaemia. The study highlights that reducing air pollution and transitioning to clean energy can significantly decrease anaemia prevalence among women of reproductive age in India.
NATURE SUSTAINABILITY
(2022)
Article
Environmental Sciences
Xia Meng, Yun Hang, Xiuran Lin, Tiantian Li, Tijian Wang, Junji Cao, Qingyan Fu, Sagnik Dey, Kan Huang, Fengchao Liang, Haidong Kan, Xiaoming Shi, Yang Liu
Summary: Ambient fine particulate matter (PM2.5) pollution is a major problem in China. Reductions in particulate sulfate, driven by desulfurization efforts, have led to a decrease in PM2.5 levels. However, the toxicity of particulate sulfate and its long-term trend is difficult to estimate. Using spaceborne sensors and machine learning techniques, a sulfate prediction model was developed. The model performed well and demonstrated a significant decrease in sulfate levels and associated health benefits.
ENVIRONMENT INTERNATIONAL
(2023)
Article
Environmental Sciences
Daniel B. Odo, Ian A. Yang, Sagnik Dey, Melanie S. Hammer, Aaron van Donkelaar, Randall V. Martin, Guang-Hui Dong, Bo-Yi Yang, Perry Hystad, Luke D. Knibbs
Summary: Exposure to ambient air pollution, specifically fine particulate matter (PM2.5), is associated with adverse effects on cognitive development in young children in low- and middle-income countries (LMICs). An increase in annual average PM2.5 concentration is linked to a higher likelihood of cognitive delay. The study suggests that reducing air pollution levels can have significant long-term benefits for educational attainment and overall health outcomes in children.
ENVIRONMENTAL POLLUTION
(2023)
Review
Environmental Sciences
A. Pozzer, S. C. Anenberg, S. Dey, A. Haines, J. Lelieveld, S. Chowdhury
Summary: Since the publication of the first epidemiological study linking long-term exposure to atmospheric pollution with adverse effects on human health, efforts have been made to estimate the mortality burden caused by outdoor air pollution on a global scale. This review highlights the discrepancies between different studies and identifies the need for improved exposure response functions and inclusion of more comprehensive health outcomes in calculations. Furthermore, it emphasizes the lack of precision in global estimates despite advances in understanding the health impacts of air pollution.
Article
Environmental Sciences
Daniel B. Odo, Ian A. Yang, Sagnik Dey, Melanie S. Hammer, Aaron van Donkelaar, Randall V. Martin, Guang-Hui Dong, Bo-Yi Yang, Perry Hystad, Luke D. Knibbs
Summary: This study aimed to determine the impact of long-term exposure to ambient fine particulate matter pollution on hemoglobin levels and the prevalence of anemia in children (<5 years old) in 36 low- and middle-income countries. The results showed that exposure to fine particulate matter pollution was associated with lower hemoglobin levels and an increased risk of anemia, with additional effects related to household wealth index and place of residence.
ENVIRONMENTAL RESEARCH
(2023)
Article
Environmental Sciences
Shashi Tiwari, Alok Kumar, Supriya Mantri, Sagnik Dey
Summary: This study used a random forest model to estimate PM2.5 exposure in Delhi from 2002 to 2019 and found a correlation between exposure variations and increased mortality burden. The results demonstrate the potential of machine learning in hyperlocal air quality management in cities.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Environmental Sciences
Neha Singh, Sagnik Dey, Luke D. Knibbs
Summary: Air pollution is a significant global health risk, with nitrogen dioxide (NO2) being a major pollutant associated with adverse health effects. This study focused on understanding the spatial and temporal variability of NO2 in India and identifying the major sources of NO2 emissions. The findings highlight the increasing trend of tropospheric NO2 concentrations in most parts of India, emphasizing the need to consider NO2 as an important pollutant in addition to PM2.5.
ATMOSPHERIC POLLUTION RESEARCH
(2023)
Article
Multidisciplinary Sciences
Ekta Chaudhary, Franciosalgeo George, Aswathi Saji, Sagnik Dey, Santu Ghosh, Tinku Thomas, Anura. V. Kurpad, Sumit Sharma, Nimish Singh, Shivang Agarwal, Unnati Mehta
Summary: This study showed that increased exposure to PM2.5 is associated with higher prevalence of anemia, acute respiratory infection, and low birth weight among children in India. Nitrate, elemental carbon, and ammonium were found to be more correlated with these health outcomes compared to other PM2.5 species. The study also suggests that using total PM2.5 mass as an indicator of air pollution exposure may underestimate the composite impact of different components of PM2.5.
NATURE COMMUNICATIONS
(2023)
Article
Geosciences, Multidisciplinary
Sudipta Ghosh, Sagnik Dey, Sushant Das, Nicole Riemer, Graziano Giuliani, Dilip Ganguly, Chandra Venkataraman, Filippo Giorgi, Sachchida Nand Tripathi, Srikanthan Ramachandran, Thazhathakal Ayyappen Rajesh, Harish Gadhavi, Atul Kumar Srivastava
Summary: Mitigation of carbonaceous aerosol emissions is crucial for reducing uncertainties in climate feedback. Incorporating a dynamic ageing scheme and updated emission estimates improves the representation of carbonaceous aerosols in a regional climate model over the Indian monsoon region.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2023)
