High-Resolution Seismic Stratigraphy Offshore Haeundae Beach in Busan, South Korea

2020 ◽  
Vol 102 (sp1) ◽  
Author(s):  
Dong-Lim Choi ◽  
Dong-Hyeok Shin ◽  
Jae-Youll Jin ◽  
Yong-Kuk Lee ◽  
Byung-Cheol Kum
Keyword(s):  
High Resolution ◽  
South Korea ◽  
Seismic Stratigraphy

High-resolution Climate Data From an Improved GIS-based Regression Technique for South Korea

2018 ◽  
Vol 22 (12) ◽  
pp. 5215-5228 ◽  
Author(s):  
Hyung-Il Eum ◽  
Jong Pil Kim ◽  
Jaepil Cho
Keyword(s):  
High Resolution ◽  
South Korea ◽  
Regression Technique ◽  
Climate Data

High-resolution seismic stratigraphy and morphology of the Scan Basin contourite fan, southern Scotia Sea, Antarctica

2016 ◽  
Vol 378 ◽  
pp. 361-373 ◽  
Author(s):  
Marga García ◽  
Francisco J. Lobo ◽  
Andrés Maldonado ◽  
F. Javier Hernández-Molina ◽  
Fernando Bohoyo ◽  
...  
Keyword(s):  
High Resolution ◽  
Seismic Stratigraphy ◽  
Scotia Sea

Seismic stratigraphy and structural analysis of the western South Korea Plateau (WSKP), East Sea

2015 ◽  
Vol 384 ◽  
pp. 145-159 ◽  
Author(s):  
Deniz Cukur ◽  
Seong-Pil Kim ◽  
Senay Horozal ◽  
Byong-Jae Ryu ◽  
Gil-Young Kim ◽  
...  
Keyword(s):  
Structural Analysis ◽  
South Korea ◽  
Seismic Stratigraphy ◽  
East Sea

scholarly journals Evaluation of Rainfall Forecasts with Heavy Rain Types in the High-Resolution Unified Model over South Korea

2019 ◽  
Vol 34 (5) ◽  
pp. 1277-1293 ◽  
Author(s):  
Hwan-Jin Song ◽  
Byunghwan Lim ◽  
Sangwon Joo
Keyword(s):  
High Resolution ◽  
South Korea ◽  
Korean Peninsula ◽  
Heavy Rainfall ◽  
Rainfall Intensity ◽  
Heavy Rain ◽  
Unified Model ◽  
Moderate Intensity ◽  
Local Data ◽  
Total Rainfall

Abstract Heavy rainfall events account for most socioeconomic damages caused by natural disasters in South Korea. However, the microphysical understanding of heavy rain is still lacking, leading to uncertainties in quantitative rainfall prediction. This study is aimed at evaluating rainfall forecasts in the Local Data Assimilation and Prediction System (LDAPS), a high-resolution configuration of the Unified Model over the Korean Peninsula. The rainfall of LDAPS forecasts was evaluated with observations based on two types of heavy rain events classified from K-means clustering for the relationship between surface rainfall intensity and cloud-top height. LDAPS forecasts were characterized by more heavy rain cases with high cloud-top heights (cold-type heavy rain) in contrast to observations showing frequent moderate-intensity rain systems with relatively lower cloud-top heights (warm-type heavy rain) over South Korea. The observed cold-type and warm-type events accounted for 32.7% and 67.3% of total rainfall, whereas LDAPS forecasts accounted for 65.3% and 34.7%, respectively. This indicates severe overestimation and underestimation of total rainfall for the cold-type and warm-type forecast events, respectively. The overestimation of cold-type heavy rainfall was mainly due to its frequent occurrence, whereas the underestimation of warm-type heavy rainfall was affected by both its low occurrence and weak intensity. The rainfall forecast skill for the warm-type events was much lower than for the cold-type events, due to the lower rainfall intensity and smaller rain area of the warm-type. Therefore, cloud parameterizations for warm-type heavy rain should be improved to enhance rainfall forecasts over the Korean Peninsula.

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