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Showing results 1 to 20 of 39

Issue DateTitleAuthor(s)TypeView
2018-12-12A deep learning based prediction of Arctic sea ice concentration using satellite and reanalysis dataHan, Daehyun; Kim, Youngjoon; Im, Jungho; Lee, SanggyunCONFERENCE33
2019-06A novel framework of detecting convective initiation combining automated sampling, machine learning, and repeated model tuning from geostationary satellite dataHan, Daehyeon; Lee, Juhyun; Im, Jungho; Sim, Seongmun; Lee, Sanggyun; Han, HyangsunARTICLE266
2015-04-29A novel lead detection approach to Arctic sea ice thickness estimation using CryoSat-2 satellite dataIm, Jungho; Lee, Sanggyun; Kim, Jin-woo; Shin, MinsoCONFERENCE23
2013-10-20A validation and intercomparison of AIRS, TES and GOSAT CO2 profiles with aircraft observationLee, Sanggyun; Im, JunghoCONFERENCE27
2018-04-09Anomalous slow sea ice recovery in fall and winter 2016 by an extreme warming event in mid-latitudesLee, Sanggyun; Kang, Daehyun; Im, Jungho; Lee, Myong-In; Kim, Hyun-Cheol; Ha, Ho KyungCONFERENCE16
2018-05Arctic lead detection using a waveform mixture algorithm from CryoSat-2 dataLee, Sanggyun; Kim, Hyun-cheol; Im, JunghoARTICLE453
2017-03-21Arctic lead detection using a waveform mixture analysis from CryoSat-2 dataLee, Sanggyun; Im, Jungho; Han, DaehyeonCONFERENCE19
2017-06-12Arctic lead detection using a waveform unmixing algorithm from CryoSat-2 dataLee, Sanggyun; Im, Jungho; Kim, Hyun-CheolCONFERENCE15
2016-12-14Arctic lead detection using a waveform unmixing algorithm from CryoSat-2 dataLee, Sanggyun; Im, JunghoCONFERENCE8
2016-09Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead DetectionLee, Sanggyun; Im, Jungho; Kim, Jinwoo; Kim, Miae; Shin, Minso; Kim, Hyun-cheol; Quackenbush, Lindi J.ARTICLE470
2017-07CO2 concentration and its spatiotemporal variation in the troposphere using multi-sensor satellite data, carbon tracker, and aircraft observationsLee, Sanggyun; Kim, Dongmin; Im, Jungho; Lee, Myong-In; Park, Young-GyuARTICLE820
2018-11-05Convective initiation detection using Himawari-8 Advanced Himawari Imager data and random forestHan, Daehyun; Im, Jungho; Lee, Sanggyun; Kim, Youngjoon; Jang, KunnaCONFERENCE21
2015-07Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Based on Machine Learning ApproachesHan, Hyangsun; Lee, Sanggyun; Im, Jungho; Kim, Miae; Lee, Myong-In; Ahn, Myoung Hwan; Chung, Sung-RaeARTICLE776
2015-11-11Detection of convective overshooting tops using MSG SEVIRI, Himawari-8 AHI, and CloudSat CPR dataIm, Jungho; Kim, Miae; Park, Seonyoung; Lee, SanggyunCONFERENCE19
2017-05Detection of deterministic and probabilistic convection initiation using Himawari-8 Advanced Himawari Imager dataLee, Sanggyun; Han, Hyangsun; Im, Jungho; Jang, Eunna; Lee, Myong-InARTICLE584
2016-04-20Detection of deterministic and probabilistic convective initiation (CI) using Himawari-8 Advanced Imager dataLee, Sanggyun; Im, Jungho; Jang, Eunna; Han, HyangsunCONFERENCE20
2016-10-25Detection of deterministic and probabilistic convective initiation (CI) using Himawari-8 AHI, weather radar, and lightning dataLee, Sanggyun; Han, Hyangsun; Im, Jungho; Jang, EunnaCONFERENCE14
2016-12-14Detection of probabilistic Convective Initiation (CI) using Himawari-8 AHI, weather radar, and lightning dataLee, Sanggyun; Han, Hyangsun; Im, Jungho; Jang, Eunna; Lee, Myong-InCONFERENCE14
2016-10-25Detection of tropical cyclone centers using satellite data and spatial metricsLee, Juhyun; Im, Jungho; Sim, Sungmoon; Lee, SanggyunCONFERENCE14
2016-10-15Detection of tropical cyclone centers using satellite data and spatial metricsLee, Juhyun; Im, Jungho; Sim, Sungmoon; Lee, SanggyunCONFERENCE15
Showing results 1 to 20 of 39

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