Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Kwonil Kim"'
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 1, Pp n/a-n/a (2024)
Abstract Retrieving raindrop size distribution (DSD) is essential to understanding precipitation processes. Conventional approaches based on polarimetric radar (e.g., polynomial regression) struggle to accurately capture the inherent nonlinearity bet
Externí odkaz:
https://doaj.org/article/2e0811bfe2db4d84835083c47184a97c
Publikováno v:
Meteorology, Vol 2, Iss 1, Pp 107-127 (2023)
The Women’s Slope Style event of 11–12 February 2018 at the PyeongChang 2018 Olympic Winter Games posed considerable challenges to the competitors and decision-makers, requiring sub-kilometer and sub-minute weather predictions in complex terrain.
Externí odkaz:
https://doaj.org/article/0c95a50208dd4a0eafb1373220127eb0
Publikováno v:
Remote Sensing, Vol 14, Iss 15, p 3820 (2022)
An accurate classification of the precipitation type is important for forecasters, particularly in the winter season. We explored the capability of three supervised machine learning (ML) methods (decision tree, random forest, and support vector machi
Externí odkaz:
https://doaj.org/article/58199e7c6338470c84e937389703928c
Autor:
Sungbin Jang, Kyo-Sun Sunny Lim, Jeongsu Ko, Kwonil Kim, GyuWon Lee, Su-Jeong Cho, Kwang-Deuk Ahn, Yong-Hee Lee
Publikováno v:
Remote Sensing, Vol 13, Iss 19, p 3860 (2021)
The Weather Research and Forecasting (WRF) Double-Moment 7-Class (WDM7) cloud microphysics scheme was developed to parameterize cloud and precipitation processes explicitly for mesoscale phenomena in the Korean Integrated Model system. However, the W
Externí odkaz:
https://doaj.org/article/f9e4c74a627047d68f19c407151e4ff3
Autor:
Francisco J. Tapiador, Anahí Villalba-Pradas, Andrés Navarro, Raúl Martín, Andrés Merino, Eduardo García-Ortega, José Luis Sánchez, Kwonil Kim, Gyuwon Lee
Publikováno v:
Remote Sensing, Vol 13, Iss 14, p 2702 (2021)
Evaluating satellite ability in capturing sudden natural disasters such as heavy snowstorms is a topic of societal interest. This paper presents a rapid qualitative analysis of an intense snowfall in Madrid using data from the Global Precipitation Me
Externí odkaz:
https://doaj.org/article/5097181e82fd45deb1106cd404a42a4d
Autor:
Francisco J. Tapiador, Anahí Villalba-Pradas, Andrés Navarro, Eduardo García-Ortega, Kyo-Sun Sunny Lim, Kwonil Kim, Kwang Deuk Ahn, Gyuwon Lee
Publikováno v:
Remote Sensing, Vol 13, Iss 6, p 1074 (2021)
Precipitation science is a growing research field. It is concerned with the study of the water cycle from a broad perspective, from tropical to polar research and from solid precipitation to humidity and microphysics. It includes both modeling and ob
Externí odkaz:
https://doaj.org/article/ec859663473b4ba281083d97714de7ff
Publikováno v:
Journal of Hydrometeorology. 24:691-708
Improving estimation of snow water equivalent rate (SWER) from radar reflectivity (Ze), known as a SWER(Ze) relationship, is a priority for NASA’s Global Precipitation Measurement (GPM) mission ground validation program as it is needed to comprehen
Publikováno v:
Atmospheric Chemistry & Physics Discussions; 1/16/2024, p1-31, 31p
Autor:
Kwonil KIM
Publikováno v:
European Constitutional Law Association. 38:43-71
The WISSDOM (Wind Synthesis System using Doppler Measurements) synthesis scheme was developed to derive high-resolution 3-dimensional (3D) winds under clear-air conditions. From this variational-based scheme, detailed wind information was obtained fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b467a4c5836fc55884b38aee7897a28b
https://amt.copernicus.org/articles/16/845/2023/
https://amt.copernicus.org/articles/16/845/2023/