Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Seong-Hee Won"'
Publikováno v:
Meteorological Applications, Vol 31, Iss 2, Pp n/a-n/a (2024)
Abstract An operational scheme for predicting the symmetric R30 and R50 of tropical cyclones (TCs) in the western North Pacific was developed using a statistical regression method and track pattern clustering (four clusters). The statistical–dynami
Externí odkaz:
https://doaj.org/article/ef243f34ed074f62aa05111067b96e19
Publikováno v:
Atmosphere, Vol 14, Iss 1, p 72 (2022)
This study investigates the impact of the sea surface temperature (SST) on the forecast of two typhoons, which consecutively hit South Korea in 2020. SST data were obtained from the Daily Optimum Interpolation Sea Surface Temperature (OISST) version
Externí odkaz:
https://doaj.org/article/2c175f00abc84125b1762b5e087df391
Publikováno v:
Atmosphere, Vol 12, Iss 7, p 802 (2021)
The National Typhoon Center of the Korea Meteorological Administration developed a statistical–dynamical typhoon intensity prediction model for the western North Pacific, the CSTIPS-DAT, using a track-pattern clustering technique. The model led to
Externí odkaz:
https://doaj.org/article/7fc4a30e616943e4aeec0e4c78d42e96
Publikováno v:
Atmosphere, Vol 12, Iss 802, p 802 (2021)
Atmosphere
Volume 12
Issue 7
Atmosphere
Volume 12
Issue 7
The National Typhoon Center of the Korea Meteorological Administration developed a statistical–dynamical typhoon intensity prediction model for the western North Pacific, the CSTIPS-DAT, using a track-pattern clustering technique. The model led to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b421074cb9c540b41a5f1fa2383597e
https://www.mdpi.com/2073-4433/12/7/802
https://www.mdpi.com/2073-4433/12/7/802
Publikováno v:
Journal of Environmental Science International. 21:263-266
To compare the effects of two external forcing on track of typhoon, TWRF(Typhoon WRF) based ensemble experiments are carried out in the case of Typhoon Morako which is the 8th typhoon at Northwest Pacific region in 2009. The two forcing are tropical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2fbc90663df36066b54792dc7faef68
https://doi.org/10.5322/jes.2012.21.2.263
https://doi.org/10.5322/jes.2012.21.2.263
Publikováno v:
Monthly Weather Review. 130:2966-2974
The Geophysical Fluid Dynamics Laboratory (GFDL) hurricane initialization algorithm is implemented in the community fifth-generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model (MM5). This work is applied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9fd5029d579993ead19cfe806f12be7
https://doi.org/10.1175/1520-0493(2002)130<2966:gttiim>2.0.co
https://doi.org/10.1175/1520-0493(2002)130<2966:gttiim>2.0.co
Publikováno v:
Geophysical Research Letters. 34
[1] This paper presents a statistical model to forecast seasonal tropical cyclone activity. In order to give a comprehensive view of seasonal tropical cyclone activity, we include not only the number of total tropical cyclones but also the number of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::514fa1ea05fa93f4bd0144137c8c97ba
https://doi.org/10.1029/2007gl032308
https://doi.org/10.1029/2007gl032308