Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Chu-Yong Chung"'
Publikováno v:
Atmosphere, Vol 12, Iss 8, p 982 (2021)
The ozone concentration in the atmosphere has been recovering with the reduction in atmospheric ozone-depleting substances (ODS). However, ODS remain in the atmosphere for long periods, slowing recovery. Furthermore, greenhouse gas-induced climate ch
Externí odkaz:
https://doaj.org/article/e9fc59d07d7b4da298780d57082107ce
Autor:
Samuel Takele Kenea, Haeyoung Lee, Sangwon Joo, Shanlan Li, Lev D. Labzovskii, Chu-Yong Chung, Yeon-Hee Kim
Publikováno v:
Remote Sensing, Vol 13, Iss 12, p 2266 (2021)
Understanding the temporal variability of atmospheric methane (CH4) and its potential drivers can advance the progress toward mitigating changes to the climate. To comprehend interannual variability and spatial characteristics of anomalous CH4 mole f
Externí odkaz:
https://doaj.org/article/be5dc3476b184954b070b72ce602f714
Publikováno v:
Remote Sensing, Vol 13, Iss 6, p 1096 (2021)
This study aimed to generate a near real time composite of aerosol optical depth (AOD) to improve predictive model ability and provide current conditions of aerosol spatial distribution and transportation across Northeast Asia. AOD, a proxy for aeros
Externí odkaz:
https://doaj.org/article/a930376483fe4a57a3495439bb68dc36
Publikováno v:
Remote Sensing, Vol 12, Iss 12, p 1953 (2020)
In this paper, we introduce a cloud top-height (CTH) retrieval algorithm using simultaneous observations from the Himawari-8 and FengYun (FY)-2E geostationary (GEO) satellites (hereafter, dual-GEO CTH algorithm). The dual-GEO CTH algorithm estimates
Externí odkaz:
https://doaj.org/article/ebe67adf5f9749fa9ed85154c05a4148
Autor:
Jae-Hyun Ryu, Kyung-Soo Han, Yang-Won Lee, No-Wook Park, Sungwook Hong, Chu-Yong Chung, Jaeil Cho
Publikováno v:
Remote Sensing, Vol 11, Iss 15, p 1773 (2019)
Satellite-based remote sensing techniques have been widely used to monitor droughts spanning large areas. Various agricultural drought indices have been developed to assess the intensity of agricultural drought and to detect damaged crop areas. Howev
Externí odkaz:
https://doaj.org/article/ffb3d06a76b247ed9667d85f7f77a810
Publikováno v:
Remote Sensing, Vol 9, Iss 1, p 24 (2016)
To investigate the characteristics of Spinning Enhanced Visible and Infrared Imager (SEVIRI)-derived products from the UK Met Office algorithm, one year of cloud occurrence frequency (COF) and cloud-top height (CTH) data from May 2013 to April 2014 w
Externí odkaz:
https://doaj.org/article/9532e7a6b17d494bbf0eb7b678dbbc2b
Autor:
Hee-Jung Yoo, Min Jae Jeong, Sangmin Oh, Chu-Yong Chung, Shanlan Li, Saehee Lim, Jeong Eun Kim, Kyung-On Boo
Publikováno v:
Journal of Korean Society for Atmospheric Environment. 38:906-918
Autor:
Min Jae Jeong, Hee-Jung Yoo, Wonick Seo, Daegeun Shin, Hee-Jung Ko, Sangmin Oh, Chu-Yong Chung, Jeong Eun Kim
Publikováno v:
Journal of Korean Society for Atmospheric Environment. 38:823-835
Autor:
Jeong Eun Kim, Won Seok Jung, Wonick Seo, Shanlan Li, Sang Min Oh, Daegeun Shin, Hee-Jung Ko, Hee-Jung Yoo, Chu-Yong Chung, Yeon-Hee Kim
Publikováno v:
Journal of Korean Society for Atmospheric Environment. 38:557-576
Publikováno v:
Journal of Korean Society for Atmospheric Environment. 38:203-219