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126 results on '"Choi, Myungje"'

1. Revealing and Utilizing In-group Favoritism for Graph-based Collaborative Filtering

Author

Jung, Hoin, Cho, Hyunsoo, Choi, Myungje, Lee, Joowon, Park, Jung Ho, and Kang, Myungjoo

Subjects
Computer Science - Information Retrieval, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Computer Science - Social and Information Networks
Abstract

When it comes to a personalized item recommendation system, It is essential to extract users' preferences and purchasing patterns. Assuming that users in the real world form a cluster and there is common favoritism in each cluster, in this work, we introduce Co-Clustering Wrapper (CCW). We compute co-clusters of users and items with co-clustering algorithms and add CF subnetworks for each cluster to extract the in-group favoritism. Combining the features from the networks, we obtain rich and unified information about users. We experimented real world datasets considering two aspects: Finding the number of groups divided according to in-group preference, and measuring the quantity of improvement of the performance., Comment: 7 pages, 6 figures

Published
2024

6. New Era of Air Quality Monitoring from Space : Geostationary Environment Monitoring Spectrometer (GEMS)

Author

Kim, Jhoon, Jeong, Ukkyo, Ahn, Myoung-Hwan, Kim, Jae H., Park, Rokjin J., Lee, Hanlim, Song, Chul Han, Choi, Yong-Sang, Lee, Kwon-Ho, Yoo, Jung-Moon, Jeong, Myeong-Jae, Park, Seon Ki, Lee, Kwang-Mog, Song, Chang-Keun, Kim, Sang-Woo, Kim, Young Joon, Kim, Si-Wan, Kim, Mijin, Go, Sujung, Liu, Xiong, Chance, Kelly, Miller, Christopher Chan, Al-Saadi, Jay, Veihelmann, Ben, Bhartia, Pawan K., Torres, Omar, Abad, Gonzalo González, Haffner, David P., Ko, Dai Ho, Lee, Seung Hoon, Woo, Jung-Hun, Chong, Heesung, Park, Sang Seo, Nicks, Dennis, Choi, Won Jun, Moon, Kyung-Jung, Cho, Ara, Yoon, Jongmin, Kim, Sang-kyun, Hong, Hyunkee, Lee, Kyunghwa, Lee, Hana, Lee, Seoyoung, Choi, Myungje, Veefkind, Pepijn, Levelt, Pieternel F., Edwards, David P., Kang, Mina, Eo, Mijin, Bak, Juseon, Baek, Kanghyun, Kwon, Hyeong-Ahn, Yang, Jiwon, Park, Junsung, Han, Kyung Man, Kim, Bo-Ram, Shin, Hee-Woo, Choi, Haklim, Lee, Ebony, Chong, Jihyo, Cha, Yesol, Koo, Ja-Ho, Irie, Hitoshi, Hayashida, Sachiko, Kasai, Yasko, Kanaya, Yugo, Liu, Cheng, Lin, Jintai, Crawford, James H., Carmichael, Gregory R., Newchurch, Michael J., Lefer, Barry L., Herman, Jay R., Swap, Robert J., Lau, Alexis K. H., Kurosu, Thomas P., Jaross, Glen, Ahlers, Berit, Dobber, Marcel, McElroy, C. Thomas, and Choi, Yunsoo

Published
2020

10. High-resolution mapping of SO2 using airborne observations from the GeoTASO instrument during the KORUS-AQ field study: PCA-based vertical column retrievals

Author

Chong, Heesung, Lee, Seoyoung, Kim, Jhoon, Jeong, Ukkyo, Li, Can, Krotkov, Nickolay A., Nowlan, Caroline R., Al-Saadi, Jassim A., Janz, Scott J., Kowalewski, Matthew G., Ahn, Myoung-Hwan, Kang, Mina, Joiner, Joanna, Haffner, David P., Hu, Lu, Castellanos, Patricia, Huey, L. Gregory, Choi, Myungje, Song, Chul H., Han, Kyung Man, and Koo, Ja-Ho

Published
2020
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19. Airborne observations during KORUS-AQ show that aerosol optical depths are more spatially self-consistent than aerosol intensive properties

Author

LeBlanc, Samuel E., primary, Segal-Rozenhaimer, Michal, additional, Redemann, Jens, additional, Flynn, Connor, additional, Johnson, Roy R., additional, Dunagan, Stephen E., additional, Dahlgren, Robert, additional, Kim, Jhoon, additional, Choi, Myungje, additional, da Silva, Arlindo, additional, Castellanos, Patricia, additional, Tan, Qian, additional, Ziemba, Luke, additional, Lee Thornhill, Kenneth, additional, and Kacenelenbogen, Meloë, additional

Published
2022
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20. An Ultra‐Broadband High Efficiency Polarization Beam Splitter for High Spectral Resolution Polarimetric Imaging in the Near Infrared (Adv. Sci. 27/2022)

Author

Hsiao, Hui‐Hsin, primary, Muller, Richard E., additional, McGuire, James P., additional, Nemchick, Deacon J., additional, Shen, Chin‐Hung, additional, Harten, Gerard van, additional, Rud, Mayer, additional, Johnson, William R., additional, Nordman, Austin D., additional, Wu, Yen‐Hung, additional, Wilson, Daniel W., additional, Chiou, Yih‐Peng, additional, Choi, Myungje, additional, Hyon, Jason J., additional, and Fu, Dejian, additional

Published
2022
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21. An Overview of Mesoscale Aerosol Processes, Comparisons, and Validation Studies from DRAGON Networks

Author

Holben, Brent N, Kim, Jhoon, Sano, Itaru, Mukai, Sonoyo, Eck, Thomas F, Giles, David M, Schafer, Joel S, Sinyuk, Aliaksandr, Slutsker, Ilya, Smirnov, Alexander, Sorokin, Mikhail, Anderson, Bruce E, Che, Huizheng, Choi, Myungje, Crawford, James H, Ferrare, Richard A, Garay, Michael J, Jeong, Ukkyo, Kim, Mijin, Kim, Woogyung, Knox, Nichola, Li, Zhengqiang, Lim, Hwee S, Liu, Yang, Maring, Hal, Nakata, Makiko, Pickering, Kenneth E, Piketh, Stuart, Redemann, Jens, Reid, Jeffrey S, Salinas, Santo, Seo, Sora, Tan, Fuyi, Tripathi, Sachchida N, Toon, Owen B, and Xiao, Qingyang

Subjects
Earth Resources And Remote Sensing
Abstract

Over the past 24 years, the AErosol RObotic NETwork (AERONET) program has provided highly accurate remote-sensing characterization of aerosol optical and physical properties for an increasingly extensive geographic distribution including all continents and many oceanic island and coastal sites. The measurements and retrievals from the AERONET global network have addressed satellite and model validation needs very well, but there have been challenges in making comparisons to similar parameters from in situ surface and airborne measurements. Additionally, with improved spatial and temporal satellite remote sensing of aerosols, there is a need for higher spatial-resolution ground-based remote-sensing networks. An effort to address these needs resulted in a number of field campaign networks called Distributed Regional Aerosol Gridded Observation Networks (DRAGONs) that were designed to provide a database for in situ and remote-sensing comparison and analysis of local to mesoscale variability in aerosol properties. This paper describes the DRAGON deployments that will continue to contribute to the growing body of research related to meso- and microscale aerosol features and processes. The research presented in this special issue illustrates the diversity of topics that has resulted from the application of data from these networks.

Published
2018
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23. Airborne observation during KORUS-AQ show aerosol optical depth are more spatially self-consistent than aerosol intensive properties

Author

LeBlanc, Samuel E., primary, Segal-Rozenhaimer, Michal, additional, Redemann, Jens, additional, Flynn, Connor J., additional, Johnson, Roy R., additional, Dunagan, Stephen E., additional, Dahlgren, Robert, additional, Kim, Jhoon, additional, Choi, Myungje, additional, da Silva, Arlindo M., additional, Castellanos, Patricia, additional, Tan, Qian, additional, Ziemba, Luke, additional, Thornhill, Kenneth Lee, additional, and Kacenelenbogen, Meloë S., additional

Published
2022
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26. GOCI Yonsei Aerosol Retrieval (YAER) Algorithm and Validation During the DRAGON-NE Asia 2012 Campaign

Author

Choi, Myungje, Kim, Jhoon, Lee, Jaehwa, Kim, Mijin, Park, Young-Je, Jeong, Ukkyo, Kim, Woogyung, Hong, Hyunkee, Holben, Brent, Eck, Thomas F, Song, Chul H, Lim, Jae-Hyun, and Song, Chang-Keun

Subjects
Earth Resources And Remote Sensing
Abstract

The Geostationary Ocean Color Imager (GOCI) onboard the Communication, Ocean, and Meteorological Satellite (COMS) is the first multi-channel ocean color imager in geostationary orbit. Hourly GOCI top-of-atmosphere radiance has been available for the retrieval of aerosol optical properties over East Asia since March 2011. This study presents improvements made to the GOCI Yonsei Aerosol Retrieval (YAER) algorithm together with validation results during the Distributed Regional Aerosol Gridded Observation Networks - Northeast Asia 2012 campaign (DRAGONNE Asia 2012 campaign). The evaluation during the spring season over East Asia is important because of high aerosol concentrations and diverse types of Asian dust and haze. Optical properties of aerosol are retrieved from the GOCI YAER algorithm including aerosol optical depth (AOD) at 550 nm, fine-mode fraction (FMF) at 550 nm, single-scattering albedo (SSA) at 440 nm, Angstrom exponent (AE) between 440 and 860 nm, and aerosol type. The aerosol models are created based on a global analysis of the Aerosol Robotic Networks (AERONET) inversion data, and covers a broad range of size distribution and absorptivity, including nonspherical dust properties. The Cox-Munk ocean bidirectional reflectance distribution function (BRDF) model is used over ocean, and an improved minimum reflectance technique is used over land. Because turbid water is persistent over the Yellow Sea, the land algorithm is used for such cases. The aerosol products are evaluated against AERONET observations and MODIS Collection 6 aerosol products retrieved from Dark Target (DT) and Deep Blue (DB) algorithms during the DRAGON-NE Asia 2012 campaign conducted from March to May 2012. Comparison of AOD from GOCI and AERONET resulted in a Pearson correlation coefficient of 0.881 and a linear regression equation with GOCI AOD = 1.083 x AERONET AOD - 0.042. The correlation between GOCI and MODIS AODs is higher over ocean than land. GOCI AOD shows better agreement with MODIS DB than MODIS DT. The other GOCI YAER products (AE, FMF, and SSA) show lower correlation with AERONET than AOD, but still show some skills for qualitative use.

Published
2016
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27. Modeling Asian Dust Storms Using WRF‐Chem During the DRAGON‐Asia Field Campaign in April 2012

Author

Kim, Kyoung‐Min, primary, Kim, Si‐Wan, additional, Choi, Myungje, additional, Kim, Mijin, additional, Kim, Jhoon, additional, Shin, Inchul, additional, Kim, Jeongeun, additional, Chung, Chu‐Yong, additional, Yeo, Huidong, additional, Kim, Sang‐Woo, additional, Joo, Seung Jin, additional, McKeen, Stuart A., additional, and Zhang, Li, additional

Published
2021
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29. Supplementary material to "Inferring iron oxides species content in atmospheric mineral dust from DSCOVR EPIC observations"

Author

Go, Sujung, primary, Lyapustin, Alexei, additional, Schuster, Gregory L., additional, Choi, Myungje, additional, Ginoux, Paul, additional, Chin, Mian, additional, Kalashnikova, Olga, additional, Dubovik, Oleg, additional, Kim, Jhoon, additional, Silva, Arlindo da, additional, Holben, Brent, additional, and Reid, Jeffrey S., additional

Published
2021
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34. Airborne observation during KORUS-AQ show aerosol optical depth are more spatially self-consistent than aerosol intensive properties.

Author

LeBlanc, Samuel E., Segal-Rozenhaimer, Michal, Redemann, Jens, Flynn, Connor, Johnson, Roy R., Dunagan, Stephen E., Dahlgren, Robert, Kim, Jhoon, Choi, Myungje, da Silva, Arlindo, Castellanos, Patricia, Tan, Qian, Ziemba, Luke, Thornhill, K. Lee, and Kacenelenbogen, Meloë

Abstract

Aerosol particles can be emitted, transported, removed, or transformed, leading to aerosol variability at scales impacting the climate (days to years and over hundreds of kilometers) or the air quality (hours to days and from meters to hundreds of kilometers). We present the temporal and spatial scales of changes in AOD (Aerosol Optical Depth), and aerosol size (using Angstrom Exponent; AE, and Fine-Mode-Fraction; FMF) over Korea during the 2016 KORUS-AQ (KORea-US Air Quality) atmospheric experiment. We use measurements and retrievals of aerosol optical properties from airborne instruments for remote sensing (4STAR; Spectrometers for Sky-Scanning Sun Tracking Atmospheric Research) and in situ (LARGE; NASA Langley Aerosol Research Group Experiment) on board the NASA DC-8, geostationary satellite (GOCI; Geostationary Ocean Color Imager; Yonsei aerosol retrieval (YAER) version 2) and reanalysis (MERRA-2; Modern-Era Retrospective Analysis for Research and Applications, version 2). Measurements from 4STAR when flying below 500 m, show an average AOD at 501 nm of 0.43 and an average AE of 1.15 with large standard deviation (0.32 and 0.26 for AOD and AE respectively) likely due to mixing of different aerosol types (fine and coarse mode). The majority of AODs due to fine mode aerosol is observed at altitudes lower than 2 km. Even though there are large variations, for 18 out of the 20 flight days, the column AOD measurements by 4STAR along the NASA DC-8 flight trajectories matches the south-Korean regional average derived from GOCI. We also observed that, contrary to prevalent understanding, AE and FMF are more spatially variable than AOD during KORUS-AQ, even when accounting for potential sampling biases by using Monte Carlo resampling. Averaging between measurements and model for the entire KORUS-AQ period, a reduction in correlation by 15% is 65.0 km for AOD and shorter at 22.7 km for AE. While there are observational and model differences, the predominant factor influencing spatial-temporal homogeneity is the meteorological period. High spatio-temporal variability occur during the dynamic period (25-31 May), and low spatio-temporal variability occur during blocking Rex pattern (01- 07 June). The changes in spatial variability scales between AOD and FMF/AE, while interrelated, indicate that microphysical processes that impact mostly the dominant aerosol size, like aerosol particle formation, growth, and coagulation, vary at shorter scales than the aerosol concentration processes that mostly impact AOD, like aerosol emission, transport, and removal. Plain Language (Short) Summary Airborne observations of atmospheric particles and pollution over Korea during a field campaign in May-June 2016 showed that the smallest atmospheric particles are present in the lowest 2 km of the atmosphere. The aerosol size is less repeatable over distances than their optical thickness. We show this with remote sensing (4STAR), insitu (LARGE) observations, satellite measurements (GOCI), and modeled properties (MERRA-2), and it is contrary to current understanding. [ABSTRACT FROM AUTHOR]

Published
2022
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36. Understanding and improving model representation of aerosol optical properties for a Chinese haze event measured during KORUS-AQ

Author

Saide, Pablo E., primary, Gao, Meng, additional, Lu, Zifeng, additional, Goldberg, Daniel L., additional, Streets, David G., additional, Woo, Jung-Hun, additional, Beyersdorf, Andreas, additional, Corr, Chelsea A., additional, Thornhill, Kenneth L., additional, Anderson, Bruce, additional, Hair, Johnathan W., additional, Nehrir, Amin R., additional, Diskin, Glenn S., additional, Jimenez, Jose L., additional, Nault, Benjamin A., additional, Campuzano-Jost, Pedro, additional, Dibb, Jack, additional, Heim, Eric, additional, Lamb, Kara D., additional, Schwarz, Joshua P., additional, Perring, Anne E., additional, Kim, Jhoon, additional, Choi, Myungje, additional, Holben, Brent, additional, Pfister, Gabriele, additional, Hodzic, Alma, additional, Carmichael, Gregory R., additional, Emmons, Louisa, additional, and Crawford, James H., additional

Published
2020
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37. Estimation of spatially continuous daytime particulate matter concentrations under all sky conditions through the synergistic use of satellite-based AOD and numerical models

Author

Park, Seohui, primary, Lee, Junghee, additional, Im, Jungho, additional, Song, Chang-Keun, additional, Choi, Myungje, additional, Kim, Jhoon, additional, Lee, Seungun, additional, Park, Rokjin, additional, Kim, Sang-Min, additional, Yoon, Jongmin, additional, Lee, Dong-Won, additional, and Quackenbush, Lindi J., additional

Published
2020
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40. Understanding and improving model representation of aerosol optical properties for a Chinese haze event measured during KORUS-AQ

Author

Saide, Pablo E., primary, Gao, Meng, additional, Lu, Zifeng, additional, Goldberg, Dan, additional, Streets, David G., additional, Woo, Jung-Hun, additional, Beyersdorf, Andreas, additional, Corr, Chelsea A., additional, Thornhill, Kenneth L., additional, Anderson, Bruce, additional, Hair, Johnathan W., additional, Nehrir, Amin R., additional, Diskin, Glenn S., additional, Jimenez, Jose L., additional, Nault, Benjamin A., additional, Campuzano-Jost, Pedro, additional, Dibb, Jack, additional, Heim, Eric, additional, Lamb, Kara D., additional, Schwarz, Joshua P., additional, Perring, Anne E., additional, Kim, Jhoon, additional, Choi, Myungje, additional, Holben, Brent, additional, Pfister, Gabriele, additional, Hodzic, Alma, additional, Carmichael, Gregory R., additional, Emmons, Louisa, additional, and Crawford, James H., additional

Published
2019
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43. Comparison of PM 2.5 in Seoul, Korea Estimated from the Various Ground-Based and Satellite AOD.

Author

Kim, Sang-Min, Koo, Ja-Ho, Lee, Hana, Mok, Jungbin, Choi, Myungje, Go, Sujung, Lee, Seoyoung, Cho, Yeseul, Hong, Jaemin, Seo, Sora, Lee, Junhong, Hong, Je-Woo, and Kim, Jhoon

Subjects
SEASONS, REMOTE sensing, METEOROLOGY, AEROSOLS, STATISTICAL correlation, ORBIT determination
Abstract

Based on multiple linear regression (MLR) models, we estimated the PM2.5 at Seoul using a number of aerosol optical depth (AOD) values obtained from ground-based and satellite remote sensing observations. To construct the MLR model, we consider various parameters related to the ambient meteorology and air quality. In general, all AOD values resulted in the high quality of PM2.5 estimation through the MLR method: mostly correlation coefficients >~0.8. Among various polar-orbit satellite AODs, AOD values from the MODIS measurement contribute to better PM2.5 estimation. We also found that the quality of estimated PM2.5 shows some seasonal variation; the estimated PM2.5 values consistently have the highest correlation with in situ PM2.5 in autumn, but are not well established in winter, probably due to the difficulty of AOD retrieval in the winter condition. MLR modeling using spectral AOD values from the ground-based measurements revealed that the accuracy of PM2.5 estimation does not depend on the selected wavelength. Although all AOD values used in this study resulted in a reasonable accuracy range of PM2.5 estimation, our analyses of the difference in estimated PM2.5 reveal the importance of utilizing the proper AOD for the best quality of PM2.5 estimation. [ABSTRACT FROM AUTHOR]

Published
2021
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44. Diurnal variation of aerosol optical depth and PM2.5 in South Korea: a synthesis from AERONET, satellite (GOCI), KORUS-AQ observation, and the WRF-Chem model

Author

Lennartson, Elizabeth M., Wang, Jun, Gu, Juping, Castro Garcia, Lorena, Ge, Cui, Gao, Meng, Choi, Myungje, Saide, Pablo E., Carmichael, Gregory R., Kim, Jhoon, and Janz, Scott J.

Abstract

Spatial distribution of diurnal variations of aerosol properties in South Korea, both long term and short term, is studied by using 9 AERONET (AErosol RObotic NETwork) sites from 1999 to 2017 and an additional 10 sites during the KORUS-AQ (Korea–United States Air Quality) field campaign in May and June of 2016. The extent to which the WRF-Chem (Weather Research and Forecasting coupled with Chemistry) model and the GOCI (Geostationary Ocean Color Imager) satellite retrieval can describe these variations is also analyzed. On a daily average, aerosol optical depth (AOD) at 550 nm is 0.386 and shows a diurnal variation of 20 to −30 % in inland sites, which is larger than the AOD of 0.308 and diurnal variation of ±20 % seen in coastal sites. For all the inland and coastal sites, AERONET, GOCI, and WRF-Chem, and observed PM2.5 (particulate matter with aerodynamic diameter less than 2.5 µm) data generally show dual peaks for both AOD and PM2.5, one in the morning (often at ∼08:00–10:00 KST, Korea Standard Time, especially for PM2.5) and another in the early afternoon (∼14:00 KST, albeit for PM2.5 this peak is smaller and sometimes insignificant). In contrast, Ångström exponent values in all sites are between 1.2 and 1.4 with the exception of the inland rural sites having smaller values near 1.0 during the early morning hours. All inland sites experience a pronounced increase in the Ångström exponent from morning to evening, reflecting an overall decrease in particle size in daytime. To statistically obtain the climatology of diurnal variation of AOD, a minimum requirement of ∼2 years of observation is needed in coastal rural sites, twice as long as that required for the urban sites, which suggests that the diurnal variation of AOD in an urban setting is more distinct and persistent. While Korean GOCI satellite retrievals are able to consistently capture the diurnal variation of AOD (although it has a systematically low bias of 0.04 on average and up to 0.09 in later afternoon hours), WRF-Chem clearly has a deficiency in describing the relative change of peaks and variations between the morning and afternoon, suggesting further studies for the diurnal profile of emissions. Furthermore, the ratio between PM2.5 and AOD in WRF-Chem is persistently larger than the observed counterparts by 30 %–50 % in different sites, but spatially no consistent diurnal variation pattern of this ratio can be found. Overall, the relatively small diurnal variation of PM2.5 is in high contrast with large AOD diurnal variation, which suggests the large diurnal variation of AOD–PM2.5 relationships (with the PM2.5 ∕ AOD ratio being largest in the early morning, decreasing around noon, and increasing in late afternoon) and, therefore, the need to use AOD from geostationary satellites to constrain either modeling or estimate of surface PM2.5 for air quality application.

Published
2019

46. Development of Korean Air Quality Prediction System version 1 (KAQPS v1): an operational air quality prediction system with focuses on practical issues

Author

Lee, Kyunghwa, primary, Yu, Jinhyeok, additional, Lee, Sojin, additional, Park, Mieun, additional, Hong, Hun, additional, Park, Soon Young, additional, Choi, Myungje, additional, Kim, Jhoon, additional, Kim, Younha, additional, Woo, Jung-Hun, additional, Kim, Sang-Woo, additional, and Song, Chul H., additional

Published
2019
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48. Estimation of ground-level particulate matter concentrations through the synergistic use of satellite observations and process-based models over South Korea

Author

Park, Seohui, primary, Shin, Minso, additional, Im, Jungho, additional, Song, Chang-Keun, additional, Choi, Myungje, additional, Kim, Jhoon, additional, Lee, Seungun, additional, Park, Rokjin, additional, Kim, Jiyoung, additional, Lee, Dong-Won, additional, and Kim, Sang-Kyun, additional

Published
2019
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49. Diurnal variation of aerosol optical depth and PM<sub>2.5</sub> in South Korea: a synthesis from AERONET, satellite (GOCI), KORUS-AQ observation, and the WRF-Chem model

Author

Lennartson, Elizabeth M., primary, Wang, Jun, additional, Gu, Juping, additional, Castro Garcia, Lorena, additional, Ge, Cui, additional, Gao, Meng, additional, Choi, Myungje, additional, Saide, Pablo E., additional, Carmichael, Gregory R., additional, Kim, Jhoon, additional, and Janz, Scott J., additional

Published
2018
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50. A Global Analysis of Dust Diurnal Variability Using CATS Observations.

Author

Yu, Yan, Kalashnikova, Olga V., Garay, Michael J., Lee, Huikyo, Choi, Myungje, Okin, Gregory S., Yorks, John E., Campbell, James R., and Marquis, Jared

Abstract

The current study investigates the diurnal cycle of dust loading across the global tropics, sub-tropics, and mid-latitudes by analyzing aerosol extinction and typing profiles observed by the Cloud-Aerosol Transport System (CATS) lidar aboard the International Space Station. According to the comparison with ground-based and other satellite observations, CATS aerosol and dust loading observations exhibits reasonable quality but significant day-night inconsistency. To account for this day-night inconsistency in CATS data quality, the diurnal variability in dust characteristics are currently examined separately for daytime and nighttime periods. Based on an analysis of variance analytical framework, pronounced diurnal variations in dust loading are generally uncovered during daytime periods and over terrestrial areas. The current study identifies statistically significant diurnal variability in dust loading over key dust sources, including the Bodele Depression, the West African El Djouf, Rub-al Khali Desert, and western and southern North America, confirming the previous observation-based findings regarding the diurnal cycle of dust emission and underlying meteorological processes in these regions. Significant seasonal dust diurnal variability is identified over the Iraqi and Thar deserts. The identified significant diurnal cycles in dust loading over the rainforests in Amazon and tropical southern Africa are hypothesized to be driven by enhanced dust emission due to wildfires. [ABSTRACT FROM AUTHOR]

Published
2020
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