Review
Environmental Sciences
Dohyeong Kim, Minju Gu, Tae-Hyeong Oh, Eun-Kyu Kim, Hye-Ji Yang
Summary: Geo-Kompsat-2A is a new generation Korean geostationary meteorological satellite with advanced optical sensors that offer higher resolution and shortened revisit times, enhancing capabilities for weather phenomenon identification and tracking, as well as significantly improving short-range weather forecasting systems.
Article
Engineering, Electrical & Electronic
Jeong-Eun Park, Yun-Jeong Choi, Jaehoon Jeong, Sungwook Hong
Summary: This article proposes a D2D model based on conditional generative adversarial networks to generate a hypothetical 1.37 μm band. The validation results show that the D2D-generated band is qualitatively similar to the observed band and can contribute significantly to cirrus detection and climatology.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Environmental Sciences
Jie Chen, Wei Zheng, Shuang Wu, Cheng Liu, Hua Yan
Summary: This study proposes a new fire detection algorithm based on GK-2A satellite data that can automatically identify fires under different underlying surface types and solar radiation states by considering the large solar zenith angle correction and the proportion information of background pixels in the existing spatial threshold method. The accuracy and sensitivity of the current GK-2A fire monitoring algorithm are higher than those of the Himawari-8 algorithm.
Article
Engineering, Electrical & Electronic
Kyung-Hoon Han, Jae-Cheol Jang, Sumin Ryu, Eun-Ha Sohn, Sungwook Hong
Summary: This article presents a conditional generative adversarial network method for generating hypothetical visible bands of the advanced meteorological imager (AMI) sensor onboard the geostationary Korea multipurpose satellite. The proposed method is being officially used by the Korea meteorological administration and has the ability to generate hypothetical AMI VIS bands at day and night.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Xin Su, Lunche Wang, Ming Zhang, Wenmin Qin, Muhammad Bilal
Summary: The study proposed a land general aerosol algorithm for East Asia, achieving high-precision aerosol property detection through a spectral ratio library and statistical methods. HiPARA algorithm dynamically determined surface reflectance and aerosol types, with detected AOD showing high consistency with AERONET measurements.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Geography, Physical
Juhyun Lee, Miae Kim, Jungho Im, Hyangsun Han, Deahyeon Han
Summary: A convolutional neural network approach was proposed for the detection and monitoring of overshooting tops (OTs) by combining visible and multi-infrared channels, achieving high detection performance with a probability of detection (POD) of 92.1%, a false alarm ratio (FAR) of 21.5%, and a critical success index (CSI) of 0.7. Comparison with existing CNN-based models showed significant improvements with a POD increase of 4.8% and FAR decrease of 29.4%.
GISCIENCE & REMOTE SENSING
(2021)
Article
Geochemistry & Geophysics
Hyunkwang Lim, Jhoon Kim, Seoyoung Lee, Yasuko Kasai, Sang Seo Park
Summary: This study attempted to retrieve aerosol layer height (ALH) using the Advanced Himawari Imager (AHI) to monitor diurnal changes in ALH and understand long-range transport. Aerosol optical properties (AOPs) were retrieved using the green-near infrared (NIR) band and then used to compute the top-of-atmosphere (TOA) reflectance of a highly sensitive band. The ALH was retrieved using the observed and calculated TOA reflectances.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
Article
Geochemistry & Geophysics
Jeong-Eun Park, Goo Kim, Sungwook Hong
Summary: The study demonstrates the generation of GOES-16 ABI green band using Pix2Pix and convolutional neural network techniques, showing high accuracy and applicability in various scientific applications.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Jia-Yi Lin, Hua Ho, Zhe-Wen Zheng
Summary: This study utilizes the high temporal image acquisition capability of AHI/Himawari-8 satellite to investigate the detailed progress of TC-induced chlorophyll-a responses (TICRs). The results show that TICRs react much quicker and stronger than previously understood. Additionally, the spatial characteristics of TICRs observed by AHI exhibit marked differences. These new findings are of great significance for understanding the role of TICRs in influencing the regional oceanic environment, marine ecosystem, and local climate.
Article
Geochemistry & Geophysics
Yi Zhang, Shunlin Liang, Tao He, Dongdong Wang, Yunyue Yu, Han Ma
Summary: Surface incident shortwave radiation (ISR), an important component of the surface radiation budget, has been accurately estimated using refined optimization methods applied to new generation geostationary satellites, leading to improved estimations for hourly and diurnal ISR.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Sungchan Jeong, Youngryel Ryu, Benjamin Dechant, Xing Li, Juwon Kong, Wonseok Choi, Minseok Kang, Jongmin Yeom, Joongbin Lim, Keunchang Jang, Junghwa Chun
Summary: The diurnal sampling capability of geostationary satellites allows for monitoring canopy photosynthesis at different temporal scales. This study examines the potential of geostationary satellites in tracking gross primary production (GPP) variations from hourly to seasonal scales. The results show that geostationary satellites can provide valuable data and contribute to large-scale monitoring of GPP dynamics.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Geochemistry & Geophysics
Zhonghui Tan, Chao Liu, Shuo Ma, Xin Wang, Jian Shang, Jianjie Wang, Weihua Ai, Wei Yan
Summary: This study presents a machine learning-based multilayer cloud detection algorithm using AHI data, achieving high accuracy in identifying single-layer and multilayer clouds. The algorithm outperforms existing operational cloud products and suggests improvements for cloud top height retrievals by considering cloud vertical structures.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Damao Zhang, Jennifer Comstock, Hailing Xie, Zhien Wang
Summary: This study statistically analyzes the Arctic aerosol vertical distributions using HSRL measurements. It reveals that Arctic Haze events are prevalent in late winter and spring, and strong mineral dust aerosol layers are present in spring, fall, and winter seasons. In summer, the dominant aerosol particles are small spherical particles.
Article
Environmental Sciences
Eunhee Lee, Ricardo Todling, Bryan M. Karpowicz, Jianjun Jin, Akira Sewnath, Seon Ki Park
Summary: Korea's second geostationary meteorological satellite, GK2A, provides Atmospheric Motion Vectors (AMVs) data that can enhance the accuracy of GEOS ADAS. However, there are biases in the wind speed due to observation height assignment errors and cloud altitude assignment. Quality control criteria are proposed to select suitable GK2A AMV data for assimilation. The assimilation of GK2A AMVs improves forecast accuracy, especially in the absence of Himawari-8 AMVs.
Article
Environmental Sciences
Yuanxin Liang, Huizheng Che, Hong Wang, Wenjie Zhang, Lei Li, Yu Zheng, Ke Gui, Peng Zhang, Xiaoye Zhang
Summary: The study examined the vertical characteristics of aerosols during heavily polluted episodes in Beijing in 2018. It found strong scattering effects in haze episodes and absorption effects in dust episodes, leading to heating and turbulence in different layers of the atmosphere.accurate measurement of aerosols optical properties during HPEs is crucial for modeling aerosols direct radiative effects.
Article
Environmental Sciences
Joon-Bum Jee, Sangil Kim
Article
Environmental Sciences
Joon-Bum Jee, Sangil Kim
Article
Environmental Sciences
Bu-Yo Kim, Kyu-Tae Lee, Joon-Buni Jee, Il-Sung Zo
REMOTE SENSING OF ENVIRONMENT
(2018)
Article
Environmental Sciences
Yoo-Jun Kim, Joon-Bum Jee, Geon-Tae Kim, Hyoung-Gu Nam, Jeong-Sun Lee, Baek-Jo Kim
Article
Environmental Sciences
Moon-Soo Park, Jae-Young Byon, Baek-Jo Kim, Woosuk Choi, Kwang-Min Myung, Sang-Hyun Lee, Tae-Il Cho, Jung-Hoon Chae, Jae-Sik Min, Minsoo Kang, Joon-Bum Jee, Sang-Heon Kim, Chang-Rae Cho
Article
Chemistry, Analytical
Soi Ahn, Joon-Bum Jee, Kyu-Tae Lee, Hyun-Jong Oh
Summary: A new technique has been developed in this study to enhance the detection of airborne volcanic ash using visible, near-infrared, and infrared bands from meteorological satellite systems. By utilizing advanced imaging technology and focusing on multispectral data, the technique was successful in distinguishing volcanic clouds and providing vital information for forecasters. The improved VA product of GK-2A satellite proved to be effective in locating VA and offering guidance to the aviation industry during volcanic events.
Article
Environmental Sciences
Sangmin Oh, Seung-Gi Kim, Jae Bong Lee, Junsu Park, Joon-Bum Jee, Se-Woon Hong, Kyeong-Seok Kwon, Mijung Song
Summary: This study revealed the spatial distribution of atmospheric NH3 in a rural area of South Korea and its influence on NH3 levels in nearby urban areas, showing significant differences in NH3 concentrations at different sites and higher peak concentrations in rural environments compared to urban areas.
Article
Environmental Sciences
Yoo-Jun Kim, Joon-Bum Jee, Byunghwan Lim
Summary: This study investigated the impact of water vapor on heavy rainfall events in the mountainous regions of the southern Korean Peninsula using rawinsonde and GNSS data. The findings revealed that southeasterly winds led to enhanced precipitation on the leeward side of the mountains. The likelihood of severe rainfall increased in the highest PWV bin (>60 mm). Additionally, the analysis showed that the atmosphere remained moist for 1 hour before and after heavy rainfall.
Article
Meteorology & Atmospheric Sciences
Seoryeong Ju, Geun-Hye Yu, Seungshik Park, JiYi Lee, Sangil Lee, Joonbum Jee, Kwangyul Lee, Mindo Lee
JOURNAL OF KOREAN SOCIETY FOR ATMOSPHERIC ENVIRONMENT
(2020)