Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Joo-Wan Cha"'
Publikováno v:
Advances in Meteorology, Vol 2019 (2019)
Machine learning algorithms should be tested for use in quantitative precipitation estimation models of rain radar data in South Korea because such an application can provide a more accurate estimate of rainfall than the conventional ZR relationship-
Externí odkaz:
https://doaj.org/article/f5ffa8e85f8748a5877323f7b27887cf
Autor:
Bu-Yo Kim, Joo Wan Cha
Publikováno v:
Science of Remote Sensing, Vol 10, Iss , Pp 100171- (2024)
Changes in evapotranspiration can affect water availability and climate, leading to extreme weather and severe impact on ecosystems. In particular, increased water stress in farmland, forests, and mountainous areas with limited water resources can re
Externí odkaz:
https://doaj.org/article/233c4b537d6b45e79d221eb05cd7ca14
Autor:
Woonseon Jung, Joo Wan Cha, A.-Reum Ko, Sanghee Chae, Yonghun Ro, Hyun Jun Hwang, Bu-Yo Kim, Jung Mo Ku, Ki-Ho Chang, Chulkyu Lee
Publikováno v:
Advances in Meteorology, Vol 2022 (2022)
This study applies a novel cloud seeding method using an unmanned aerial vehicle (UAV) and a research aircraft in Korea. For this experiment, the UAV sprayed a cloud seeding material (calcium chloride), and the aircraft monitored the clouds in the so
Externí odkaz:
https://doaj.org/article/732310407a3a481098f5868adaae490d
Autor:
Seonghyeon Jang, Jeonggyu Kim, Greg M. McFarquhar, Sungmin Park, Seoung Soo Lee, Chang Hoon Jung, Sang Seo Park, Joo Wan Cha, Kyoungmi Lee, Junshik Um
Publikováno v:
Remote Sensing, Vol 14, Iss 12, p 2795 (2022)
In situ aircraft measurements of the sizes and concentrations of liquid cloud droplets and ice crystals with maximum dimensions (Dmax) less than ~50 μm have been measured mainly using forward scattering probes over the past half century. The operati
Externí odkaz:
https://doaj.org/article/fb70cd5cf42e496b9ae68d709735622a
Autor:
Joo Wan Cha, Hae Jung Koo, Bu-Yo Kim, Belorid Miloslav, Hyun Jun Hwang, Min Hoo Kim, Ki-Ho Chang, Yong Hee Lee
Publikováno v:
Asia-Pacific Journal of Atmospheric Sciences. 59:257-269
Raindrop size distribution (DSD) is an important parameter in rainfall research and can be used for quantitative precipitation estimation (QPE) in meteorology and hydrology. DSD also improves the understanding of the uncertainty of cloud microphysica
Publikováno v:
Weather and Forecasting. 37:2263-2274
Accurate visibility prediction is imperative in the interests of human and environmental health. However, the existing numerical models for visibility prediction are characterized by low prediction accuracy and high computational cost. Thus, in this
Autor:
Jeonggyu Kim, Sungmin Park, McFarquhar, Greg M., Baran, Anthony J., Joo Wan Cha, Kyoungmi Lee, Seoung Soo Lee, Chang Hoon Jung, Kyo-Sun Sunny Lim, Junshik Um
Publikováno v:
Atmospheric Chemistry & Physics Discussions; 3/14/2024, p1-26, 26p
Autor:
Woonseon Jung, Jung Mo Ku, Min-Seong Kim, Hye-min Shin, A-Reum Ko, Ki-Ho Chang, Joo Wan Cha, Yong Hee Lee
Publikováno v:
Journal of Environmental Science International. 31:803-813
Publikováno v:
Atmosphere, Vol 12, Iss 5, p 552 (2021)
In this study, the visibility of South Korea was predicted (VISRF) using a random forest (RF) model based on ground observation data from the Automated Synoptic Observing System (ASOS) and air pollutant data from the European Centre for Medium-Range
Externí odkaz:
https://doaj.org/article/951796abe6094b539fd6e8e67b056c3b
Publikováno v:
Journal of Environmental Science International. 31:117-129