Results 21 to 30 of about 7,681,410 (136)

Aerosol optical depth data fusion with Geostationary Korea Multi-Purpose Satellite (GEO-KOMPSAT-2) instruments GEMS, AMI, and GOCI-II: statistical and deep neural network methods [PDF]

Atmospheric Measurement Techniques
Data fusion of aerosol optical depth (AOD) datasets from the second generation of the Geostationary Korea Multi-Purpose Satellite (GEO-KOMPSAT-2, GK-2) series was undertaken using both statistical and deep neural network (DNN)-based methods.
M. Kim, J. Kim, H. Lim, S. Lee, S. Lee, Y. Cho, Y.-G. Lee, S. Go, S. Go, K. Lee   +9 more
doaj   +1 more source

Contrasting Sea Surface Cooling and Chlorophyll‐a Responses to Typhoon Hinnamnor (2022) Modulated by Oceanic Background Conditions

Journal of Geophysical Research: Oceans, Volume 131, Issue 8, August 2026.
Abstract This study investigates the physical and biological responses of the Yellow Sea (YS) and East China Sea (ECS) to Typhoon Hinnamnor (2022), with an extensive 34‐kt wind radius of approximately 430 km, using satellite‐derived sea surface temperature and ocean color data, in situ observations, and ocean analysis data.
Hyojeong Lee, Chanhyung Jeon, Jaeik Lee, Seongbong Seo, Kongtae Ra, Jae‐Hong Moon, Joon‐Soo Lee, Jae‐Hun Park, Mijin Kim, Sok Kuh Kang, Kyeong Ok Kim   +10 more
wiley   +1 more source

A novel method for distinguishing different algal blooms in the East China Sea via geostationary ocean color satellite observations

Frontiers in Marine Science
IntroductionDinoflagellate and diatom blooms are the most frequent marine ecological disasters in the Yangtze River estuary (YRE) and adjacent areas of the East China Sea (ECS).
Min Zhao, Min Zhao, Hao Li, Xuan Zhang, Xiaosong Ding, Xiaosong Ding, Fang Gong   +6 more
doaj   +1 more source

Satellite‐Observed Hourly Chlorophyll Variability Associated With Solar Radiation in China's Marginal Seas

Geophysical Research Letters, Volume 53, Issue 14, 28 July 2026.
Abstract Understanding sub‐daily variability in phytoplankton proxies is essential for interpreting satellite estimates of ocean productivity in marginal seas. Using high‐frequency observations from the Geostationary Ocean Color Imager (GOCI), we assess daytime (08:00–15:00 local time) hourly surface chlorophyll‐a (Chla) variability across China's ...
Jian Wang, Deyong Sun, Shengqiang Wang, Xin Zhang, Zishen Li, Yu Huan, Lijing Gao   +6 more
wiley   +1 more source

Global Fair‐Weather Bias in Remotely Sensed Coastal Suspended Sediment Concentration

Geophysical Research Letters, Volume 53, Issue 11, 16 June 2026.
Abstract Satellite estimates of suspended‐sediment concentration (SSC) are widely used to understand ecosystem functions and resilience of coastal environments. Yet, they rely largely on fair‐weather observations. Combining continuous in situ time series with multi‐decadal satellite records and reanalysis products, we quantify a systematic fair‐weather
Hangjie Lin, Cédric G. Fichot, Yunwei Wang, Qian Yu, Aijun Wang, Shu Gao   +5 more
wiley   +1 more source

Continuity and Enhancements in Sea Surface Salinity Estimation in the East China Sea Using GOCI and GOCI-II: Challenges and Further Developments

Remote Sensing
During the summer, substantial freshwater discharge from the Changjiang River into the East China Sea (ECS) results in extensive low-salinity water (LSW) plumes that significantly affect regions along the southern Korean Peninsula and near Jeju Island ...
Eunna Jang, Jong-Kuk Choi, Jae-Hyun Ahn
doaj   +1 more source

A Net CO2 Sink in the Korea Strait and East/Japan Sea Revealed by Direct Eddy Covariance Measurements

Journal of Geophysical Research: Oceans, Volume 131, Issue 6, June 2026.
Abstract The Korea Strait (KS) and East/Japan Sea (EJS), Kuroshio‐influenced regions of the northwestern Pacific, are important yet still poorly constrained components of the regional carbon budget. Air‐sea carbon dioxide (CO2) fluxes in KS and EJS were quantified using direct eddy covariance measurements collected during seasonal cruises between 2023 ...
M. S. D. B. Hamzah, Y. P. Pranoto, J. M. Choi   +2 more
wiley   +1 more source

A review of the FATIMA Yellow Sea field campaign research

Quarterly Journal of the Royal Meteorological Society, Volume 152, Issue 777, April 2026 Part B.
The FATIMA marine fog project took place over the Sable Island region of eastern Canada (summer 2022) and the Yellow Sea of the Republic of Korea (ROK, summer 2023). Its goals are to improve marine fog monitoring and forecasting. Instrumented multiple research vessels, aircraft, tethered balloon and autonomous systems, ocean observation sites, and ...
Seok Lee, Ismail Gultepe, H. J. S. Fernando, Saša Gaberšek, Luc Lenain, Qing Wang, Edward D. Creegan, Eric Pardyjak, Clive Dorman, Lossif Lozovatsky, David G. Ortiz‐Suslow, Jesus Ruiz‐Plancarte, Ryan Yamaguchi, Eren Gultepe, S. Hoch, A. Perelet, D. Singh, Joo Wan Cha, Lian Shen, Anup Vaman Barve, Anne Dowling, Sen Wang, Gianina Giacosa, Laurent Grare, Peter Taylor, Zheqi Chen, Rachel Y.‐W. Chang, Piyush Teeloku, Nicholas Gapp, Seung‐Woo Lee, Jong‐Min Jeong, Hojin Kim, Jin‐Yong Jeong, Ki‐Young Heo, Minsang Kim, Myung‐Sook Park, Kyung‐Hee Oh, Joon‐Seong Park, Dong‐Chull Jeon, Kyu‐Min Song, Jae‐Yeob Kim, Dawoon Jung, Kyung‐Il Chang, Jae Hak Lee, Kyung Man Kim, Daehun Yu, Seong Soo Yum, Andrew J. Heymsfield, Martin Agelin‐Chaab, Tae‐Young Goo, Dong‐Gyun Ryu   +50 more
wiley   +1 more source

Use of GOCI-II images for detection of harmful algal blooms in the East China Sea

Geoscience Letters
The East China Sea (ECS) has experienced severe harmful algal blooms (HABs) that have deleterious ecological effects on marine organisms. Recent studies indicated that deploying of a second geostationary ocean color imager (GOCI-II) can significantly ...
Yutao Jing, Chi Feng, Taisheng Chen, Yuanli Zhu, Changpeng Li, Bangyi Tao, Qingjun Song   +6 more
doaj   +1 more source

A Cloud Screening Preprocessing Framework for GOCI‐II Aerosol Optical Depth: Development and Impact on Retrieval Errors

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 1, 16 January 2026.
Abstract Accurate retrieval of satellite‐derived aerosol optical depth (AOD) is critical for air quality forecasting, especially when AOD is assimilated into models. However, if retrieval errors in the satellite‐derived AOD are not corrected or characterized, they can lead to false analysis increments and ultimately degrade the quality of data ...
Joonhee Kim, Ukkyo Jeong, Sang‐Woo Kim, Yonghee Lee, Taehee Kim, Hyeong‐Ahn Kwon, Sang‐Moo Lee   +6 more
wiley   +1 more source