Hindcasts of Sea Surface Wind around the Korean Peninsula Using the WRF Model: Added Value Evaluation and Estimation of Extreme Wind Speeds SCIE SCOPUS

Cited 3 time in WEB OF SCIENCE Cited 3 time in Scopus
Title
Hindcasts of Sea Surface Wind around the Korean Peninsula Using the WRF Model: Added Value Evaluation and Estimation of Extreme Wind Speeds
Author(s)
Kim, Hojin; Heo, Ki-Young; Kim, Nam Hoon; Kwon, Jae Il
KIOST Author(s)
Kim, Ho Jin(김호진)Heo, Ki Young(허기영)Kim, Nam Hoon(김남훈)Kwon, Jae Il(권재일)
Alternative Author(s)
김호진; 허기영; 김남훈; 권재일
Publication Year
2021-07
Abstract
Sea surface wind plays an essential role in the simulating and predicting ocean phenomena. However, it is difficult to obtain accurate data with uniform spatiotemporal scale. A high-resolution (10 km) sea surface wind hindcast around the Korean Peninsula (KP) is presented using the weather research and forecasting model focusing on wind speed. The hindcast data for 39 years (1979-2017) are obtained by performing a three-dimensional variational analysis data assimilation, using ERA-Interim as initial and boundary conditions. To evaluate the added value of the hindcasts, the ASCAT-L2 satellite-based gridded data (DASCAT) is employed and regarded as "True" during 2008-2017. Hindcast and DASCAT data are verified using buoy observations from 1997-2017. The added value of the hindcast compared to ERA-Interim is evaluated using a modified Brier skill score method and analyzed for seasonality and wind intensity. Hindcast data primarily adds value to the coastal areas of the KP, particularly over the Yellow Sea in the summer, the East Sea in the winter, and the Korean Strait in all seasons. In case of strong winds (10-25 m center dot s(-1)), the hindcast performed better in the East Sea area. The estimation of extreme wind speeds is performed based on the added value and 50-year and 100-year return periods are estimated using a Weibull distribution. The results of this study can provide a reference dataset for climate perspective storm surge and wave simulation studies.
ISSN
2073-4433
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/41494
DOI
10.3390/atmos12070895
Bibliographic Citation
ATMOSPHERE, v.12, no.7, 2021
Publisher
MDPI
Subject
BOHAI SEA; STORM-SURGE; YELLOW SEA; CLIMATE; REANALYSIS; SENSITIVITY; SIMULATION; FIELDS
Keywords
hindcast; WRF-ARW; added value; extreme wind speed; Weibull distribution; return period
Type
Article
Language
English
Document Type
Article
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