Browsing byAuthorYum, Seong Soo

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Showing results 1 to 8 of 8

Issue DateTitleAuthor(s)
2023-11A New CCN Number Concentration Prediction Method Based on Multiple Linear Regression and Non-Negative Matrix Factorization: 1. Development, Validation, and Comparison Using the Measurement Data Over the Korean PeninsulaPark, Minsu; Yum, Seong Soo; Seo, Pyosuk; Kim, Najin; Ahn, Chanwoo
2023-11A New CCN Number Concentration Prediction Method Based on Multiple Linear Regression and Non-Negative Matrix Factorization: 2. Application to Obtain CCN Spectra in and Around the Korean PeninsulaPark, Minsu; Yum, Seong Soo; Seo, Pyosuk; Ahn, Chanwoo; Kim, Najin; Anderson, Bruce E.; Thornhill, Kenneth L.
2024-10Characteristics of new particle formation events occurred over the Yellow Sea in Springtime from 2019 to 2022Ahn, Chanwoo; Yum, Seong Soo; Park, Minsu; Seo, Pyosuk; Yoo, Hee-Jung; Lee, Meehye; Lee, Hyunmin
2024-07-19Characterizing ice nucleating particles in Seoul during ASIA-AQ campaignKim, Najin; Park, Do-Hyeon; Lee, Seung-Bok; Kim, Kyung Hwan; Yum, Seong Soo; Choi, Sun; Mohler, Ottmar
2017-03Hygroscopic properties of urban aerosols and their cloud condensation nuclei activities measured in Seoul during the MAPS Seoul campaignKim, Najin; Park, Minsu; Yum, Seong Soo; Park, Jong Sung; Song, In Ho; Shin, Hye Jung; Ahn, Joon Young; Kwak, Kyung-Hwan; Kim, Hwajin; Bae, Gwi-Nam; Lee, Gangwoong
2024-10Relationship between vertical variation of cloud microphysical properties and thickness of the entrainment interfacial layer in Physics of Stratocumulus Top stratocumulus cloudsLa, Inyeob; Yum, Seong Soo
2025-04Scientific Directions for Cloud Chamber Research: Instrumentation, Modeling, New Chambers, and Emerging Chamber ConceptsShaw, Raymond A.; Chen, Sisi; Freer, Matt; Korolev, Alexei; Krueger, Steve; Murakami, Masataka; Niedermeier, Dennis; Ovchinnikov, Mikhail; Schmalfuss, Silvio; Tian, Ping; Yang, Fan; Yum, Seong Soo; Zhu, Zeen; Cha, Joo Wan; Moehler, Ottmar
2025-11Sub-micron aerosol and CCN characteristics in Seoul measured during 2019-2021 and CCN prediction using machine learningSeo, Pyosuk; Park, Minsu; Ahn, Chanwoo; Hong, Jinkyu; Jo, Sungsoo; Yum, Seong Soo

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