Zobrazeno 1 - 10
of 399
pro vyhledávání: '"Jong‐Jin Baik"'
Autor:
Kyeongjoo Park, Jong-Jin Baik
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract This study systematically examines how the urban heat island (UHI) and urban breeze circulation (UBC) respond to an increase in roof albedo (α r) and its influence on urban air pollutant dispersion. For this, idealized ensemble simulations
Externí odkaz:
https://doaj.org/article/95c4e3c20d134f7993031b7ef4d1530c
Autor:
Jihoon Shin, Jong‐Jin Baik
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 7, Pp n/a-n/a (2023)
Abstract A new spectral convection scheme, the stochastic unified convection scheme (stochastic UNICON), is implemented in a general circulation model. The global climate simulation using stochastic UNICON is evaluated and compared with UNICON, focus
Externí odkaz:
https://doaj.org/article/cbccb61cf05849ab99c28debf8c10bb4
Autor:
Hyunho Lee, Gantuya Ganbat, Han‐Gyul Jin, Jaemyeong Mango Seo, Sungju Moon, Hyejeong Bok, Jong‐Jin Baik
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 10, Pp n/a-n/a (2023)
Abstract This study investigates the impacts of Lake Baikal, the largest by volume and the deepest freshwater lake in the world, on its nearby precipitation climate. Satellite observations and a reanalysis data set reveal that summertime precipitatio
Externí odkaz:
https://doaj.org/article/0dc7a5a3ae644a4587a6e49a97ed8a65
Autor:
Jihoon Shin, Jong‐Jin Baik
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 5, Pp n/a-n/a (2023)
Abstract We extend the previously developed stochastic unified convection scheme (UNICON) for shallow convection to deep convection by parameterizing the impact of mesoscale organized flow on updraft properties. The extended stochastic UNICON paramet
Externí odkaz:
https://doaj.org/article/08110482832b49689cde2b9774614be3
Autor:
Jihoon Shin, Jong‐Jin Baik
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 14, Iss 5, Pp n/a-n/a (2022)
Abstract A stochastic mixing model with a machine learning technique is proposed for mass flux convection schemes. The model consists of the stochastic differential equations (SDEs) for the fractional entrainment rate, fractional detrainment rate, fr
Externí odkaz:
https://doaj.org/article/b8e2e8a4655a4809861f934e33fb66ff
Publikováno v:
Asia-Pacific Journal of Atmospheric Sciences. 59:219-238
The raindrop size distribution observed from ground-based or airborne disdrometers has been widely used to understand the characteristics of clouds and precipitation. However, its variability needs to be studied further and properly considered for im
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 70, Iss 1, Pp 1-16 (2018)
ABSTRACT Dynamical aspects of flows forced by either convective heating or a mountain have been extensively studied, but those forced by both convective heating and a mountain have been less studied. Here, we theoretically examine orographic–convec
Externí odkaz:
https://doaj.org/article/a60c62fcc2964f5dbf25a3cdf2c40048
Autor:
HAN-GYUL JIN1, JONG-JIN BAIK1 jjbaik@snu.ac.kr
Publikováno v:
Journal of the Atmospheric Sciences. Aug2020, Vol. 77 Issue 8, p2885-2903. 19p. 15 Graphs, 1 Map.
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 148:3885-3900
Publikováno v:
Theoretical and Applied Climatology. 150:847-862