Predictability for Heavy Rainfall over the Korean Peninsula during the Summer using TIGGE Model

Atmosphere ◽  
2012 ◽  
Vol 22 (3) ◽  
pp. 287-298 ◽  
Author(s):  
Yoon-Jeong Hwang ◽  
Yeon-Hee Kim ◽  
Kwan-Young Chung ◽  
Dong-Eon Chang
Keyword(s):  
Korean Peninsula ◽  
Heavy Rainfall

scholarly journals An Observational Study of Mesoscale Convective Systems with Heavy Rainfall over the Korean Peninsula

2006 ◽  
Vol 21 (2) ◽  
pp. 125-148 ◽  
Author(s):  
Hyung Woo Kim ◽  
Dong Kyou Lee
Keyword(s):  
Observational Study ◽  
Korean Peninsula ◽  
Wind Shear ◽  
Heavy Rainfall ◽  
Vertical Wind Shear ◽  
Vertical Wind ◽  
Mesoscale Convective Systems ◽  
Low Level ◽  
Convective Systems ◽  
Mesoscale Convective

Abstract A heavy rainfall event induced by mesoscale convective systems (MCSs) occurred over the middle Korean Peninsula from 25 to 27 July 1996. This heavy rainfall caused a large loss of life and property damage as a result of flash floods and landslides. An observational study was conducted using Weather Surveillance Radar-1988 Doppler (WSR-88D) data from 0930 UTC 26 July to 0303 UTC 27 July 1996. Dominant synoptic features in this case had many similarities to those in previous studies, such as the presence of a quasi-stationary frontal system, a weak upper-level trough, sufficient moisture transportation by a low-level jet from a tropical storm landfall, strong potential and convective instability, and strong vertical wind shear. The thermodynamic characteristics and wind shear presented favorable conditions for a heavy rainfall occurrence. The early convective cells in the MCSs initiated over the coastal area, facilitated by the mesoscale boundaries of the land–sea contrast, rain–no rain regions, saturated–unsaturated soils, and steep horizontal pressure and thermal gradients. Two MCSs passed through the heavy rainfall regions during the investigation period. The first MCS initiated at 1000 UTC 26 July and had the characteristics of a supercell storm with small amounts of precipitation, the appearance of a mesocyclone with tilting storm, a rear-inflow jet at the midlevel of the storm, and fast forward propagation. The second MCS initiated over the upstream area of the first MCS at 1800 UTC 26 July and had the characteristics of a multicell storm, such as a broken areal-type squall line, slow or quasi-stationary backward propagation, heavy rainfall in a concentrated area due to the merging of the convective storms, and a stagnated cluster system. These systems merged and stagnated because their movement was blocked by the Taebaek Mountain Range, and they continued to develop because of the vertical wind shear resulting from a low-level easterly inflow.

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.

scholarly journals The scale of typhoon RUSA

2006 ◽  
Vol 3 (5) ◽  
pp. 3147-3182 ◽  
Author(s):  
N. W. Kim ◽  
Y. S. Won ◽  
I. M. Chung
Keyword(s):  
Return Period ◽  
Korean Peninsula ◽  
Heavy Rainfall ◽  
Hydraulic Structure ◽  
Hydrological Variable ◽  
Areal Rainfall ◽  
Qualitative Analyses ◽  
Extensive Damage

Abstract. In August 2002, Typhoon RUSA hit Korea with severe gale and storm, causing extensive damage throughout the whole country and especially in the Gangneung area. Even on a single day, Typhoon RUSA recorded up to 879.5 mm of rainfall in the Gangneung area. Quantitative and qualitative analyses of the scale of Typhoon RUSA are performed in this study. Most of the inland affected by RUSA in the Korean Peninsula recorded heavy rainfall, equivalent to a return period of more than 200 years. Especially, rainfall of 24 h duration exceeded the maxima observed so far. Although areal rainfall showed a rapidly decreasing trend with increasing area, it reached 96 percent of the existing PMP within a 2000 km2 area and recorded the maximum observed value of Korea according to a DAD analysis of rainfall. Re-estimated PMP values obtained from a hydro-meteorological approach compared with existing PMP estimates revealed a discrepancy between the two values, which showed that re-estimated PMP values of 12 to 24 h duration within 2000 km2 exceeded the existing PMP estimates of Korea. Therefore, modification of the existing PMP is required, which is used as a design hydrological variable of hydraulic structure.

scholarly journals The Recent Increase in the Heavy Rainfall Events in August over the Korean Peninsula

2007 ◽  
Vol 28 (5) ◽  
pp. 585-597 ◽  
Author(s):  
Eun-Jeong Cha ◽  
Masahide Kimoto ◽  
Eun-Jeong Lee ◽  
Jong-Ghap Jhun
Keyword(s):  
Korean Peninsula ◽  
Heavy Rainfall ◽  
Rainfall Events ◽  
Recent Increase ◽  
Heavy Rainfall Events

scholarly journals Detection of deterministic and probabilistic convective initiation using Himawari-8 Advanced Himawari Imager data

2016 ◽  
Author(s):  
Sanggyun Lee ◽  
Hyangsun Han ◽  
Jungho Im ◽  
Eunna Jang ◽  
Myong-In Lee
Keyword(s):  
Korean Peninsula ◽  
Time Trends ◽  
Heavy Rainfall ◽  
Lead Times ◽  
Deterministic Models ◽  
Validation Data ◽  
Convective Initiation ◽  
Convective Clouds ◽  
Brightness Temperatures ◽  
The Mean

Abstract. Detection of Convective Initiation (CI) is very important because convective clouds bring heavy rainfall and thunderstorms that typically cause severe socioeconomic damages. In this study, deterministic and probabilistic CI detection models based on decision trees (DT), random forest (RF), and logistic regression (LR) were developed using Himawari-8 Advanced Himawari Imager (AHI) data obtained from June to August 2015 over the Korean Peninsula. We used a total of 12 interest fields that contain brightness temperature, spectral differences of the brightness temperatures, and their time trends to develop CI detection models. While the interest field of 11.2 μm TB was considered the most crucial to detect CI in the deterministic models and the probabilistic RF model, the trispectral difference, i.e., (8.6–11.2 μm) − 11.2–12.4 μm), was determined as the most important one in the LR model. The performance of the four models varied by CI case and validation data. Nonetheless, the DT model typically showed higher POD, while the LR model produced higher OA and CSI and lower FAR than the other models. The CI detection of the mean lead times by the four models were in the range of 32–35 min, which implies that convective clouds can be detected in 30 min advance before precipitation intensity exceeds 35 dBZ over the Korean Peninsula in summer using the Himawari-8 AHI data is possible.

scholarly journals Application of the Quasi Static Variational Assimilation (QSVA) Method to Heavy Rainfall Cases over the Korean Peninsula

SOLA ◽  
2013 ◽  
Vol 9 (0) ◽  
pp. 134-138
Author(s):  
Yonghan Choi ◽  
Gyu-Ho Lim ◽  
Dong-Kyou Lee
Keyword(s):  
Korean Peninsula ◽  
Heavy Rainfall ◽  
Variational Assimilation
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