Numerical simulations of heavy rainfall over central Korea on 21 September 2010 using the WRF model

Ui Yong Byun, Jinkyu Hong, Song You Hong, Hyeyum Hailey Shin

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

On 21 September 2010, heavy rainfall with a local maximum of 259 mm d−1 occurred near Seoul, South Korea. We examined the ability of the Weather Research and Forecasting (WRF) model in reproducing this disastrous rainfall event and identified the role of two physical processes: planetary boundary layer (PBL) and microphysics (MPS) processes. The WRF model was forced by 6-hourly National Centers for Environmental Prediction (NCEP) Final analysis (FNL) data for 36 hours form 1200 UTC 20 to 0000 UTC 22 September 2010. Twenty-five experiments were performed, consisting of five different PBL schemes—Yonsei University (YSU), Mellor-Yamada-Janjic (MYJ), Quasi Normal Scale Elimination (QNSE), Bougeault and Lacarrere (BouLac), and University of Washington (UW)—and five different MPS schemes—WRF Single-Moment 6-class (WSM6), Goddard, Thompson, Milbrandt 2-moments, and Morrison 2-moments. As expected, there was a specific combination of MPS and PBL schemes that showed good skill in forecasting the precipitation. However, there was no specific PBL or MPS scheme that outperformed the others in all aspects. The experiments with the UW PBL or Thompson MPS scheme showed a relatively small amount of precipitation. Analyses form the sensitivity experiments confirmed that the spatial distribution of the simulated precipitation was dominated by the PBL processes, whereas the MPS processes determined the amount of rainfall. It was also found that the temporal evolution of the precipitation was influenced more by the PBL processes than by the MPS processes.

Original languageEnglish
Pages (from-to)855-869
Number of pages15
JournalAdvances in Atmospheric Sciences
Volume32
Issue number6
DOIs
Publication statusPublished - 2015 Jun 1

Fingerprint

boundary layer
weather
rainfall
simulation
experiment
temporal evolution
spatial distribution
prediction

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

Cite this

Byun, Ui Yong ; Hong, Jinkyu ; Hong, Song You ; Shin, Hyeyum Hailey. / Numerical simulations of heavy rainfall over central Korea on 21 September 2010 using the WRF model. In: Advances in Atmospheric Sciences. 2015 ; Vol. 32, No. 6. pp. 855-869.
@article{520debd2db3245d8b6b05ef3ac2b2273,
title = "Numerical simulations of heavy rainfall over central Korea on 21 September 2010 using the WRF model",
abstract = "On 21 September 2010, heavy rainfall with a local maximum of 259 mm d−1 occurred near Seoul, South Korea. We examined the ability of the Weather Research and Forecasting (WRF) model in reproducing this disastrous rainfall event and identified the role of two physical processes: planetary boundary layer (PBL) and microphysics (MPS) processes. The WRF model was forced by 6-hourly National Centers for Environmental Prediction (NCEP) Final analysis (FNL) data for 36 hours form 1200 UTC 20 to 0000 UTC 22 September 2010. Twenty-five experiments were performed, consisting of five different PBL schemes—Yonsei University (YSU), Mellor-Yamada-Janjic (MYJ), Quasi Normal Scale Elimination (QNSE), Bougeault and Lacarrere (BouLac), and University of Washington (UW)—and five different MPS schemes—WRF Single-Moment 6-class (WSM6), Goddard, Thompson, Milbrandt 2-moments, and Morrison 2-moments. As expected, there was a specific combination of MPS and PBL schemes that showed good skill in forecasting the precipitation. However, there was no specific PBL or MPS scheme that outperformed the others in all aspects. The experiments with the UW PBL or Thompson MPS scheme showed a relatively small amount of precipitation. Analyses form the sensitivity experiments confirmed that the spatial distribution of the simulated precipitation was dominated by the PBL processes, whereas the MPS processes determined the amount of rainfall. It was also found that the temporal evolution of the precipitation was influenced more by the PBL processes than by the MPS processes.",
author = "Byun, {Ui Yong} and Jinkyu Hong and Hong, {Song You} and Shin, {Hyeyum Hailey}",
year = "2015",
month = "6",
day = "1",
doi = "10.1007/s00376-014-4075-6",
language = "English",
volume = "32",
pages = "855--869",
journal = "Advances in Atmospheric Sciences",
issn = "0256-1530",
publisher = "Science Press",
number = "6",

}

Numerical simulations of heavy rainfall over central Korea on 21 September 2010 using the WRF model. / Byun, Ui Yong; Hong, Jinkyu; Hong, Song You; Shin, Hyeyum Hailey.

In: Advances in Atmospheric Sciences, Vol. 32, No. 6, 01.06.2015, p. 855-869.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Numerical simulations of heavy rainfall over central Korea on 21 September 2010 using the WRF model

AU - Byun, Ui Yong

AU - Hong, Jinkyu

AU - Hong, Song You

AU - Shin, Hyeyum Hailey

PY - 2015/6/1

Y1 - 2015/6/1

N2 - On 21 September 2010, heavy rainfall with a local maximum of 259 mm d−1 occurred near Seoul, South Korea. We examined the ability of the Weather Research and Forecasting (WRF) model in reproducing this disastrous rainfall event and identified the role of two physical processes: planetary boundary layer (PBL) and microphysics (MPS) processes. The WRF model was forced by 6-hourly National Centers for Environmental Prediction (NCEP) Final analysis (FNL) data for 36 hours form 1200 UTC 20 to 0000 UTC 22 September 2010. Twenty-five experiments were performed, consisting of five different PBL schemes—Yonsei University (YSU), Mellor-Yamada-Janjic (MYJ), Quasi Normal Scale Elimination (QNSE), Bougeault and Lacarrere (BouLac), and University of Washington (UW)—and five different MPS schemes—WRF Single-Moment 6-class (WSM6), Goddard, Thompson, Milbrandt 2-moments, and Morrison 2-moments. As expected, there was a specific combination of MPS and PBL schemes that showed good skill in forecasting the precipitation. However, there was no specific PBL or MPS scheme that outperformed the others in all aspects. The experiments with the UW PBL or Thompson MPS scheme showed a relatively small amount of precipitation. Analyses form the sensitivity experiments confirmed that the spatial distribution of the simulated precipitation was dominated by the PBL processes, whereas the MPS processes determined the amount of rainfall. It was also found that the temporal evolution of the precipitation was influenced more by the PBL processes than by the MPS processes.

AB - On 21 September 2010, heavy rainfall with a local maximum of 259 mm d−1 occurred near Seoul, South Korea. We examined the ability of the Weather Research and Forecasting (WRF) model in reproducing this disastrous rainfall event and identified the role of two physical processes: planetary boundary layer (PBL) and microphysics (MPS) processes. The WRF model was forced by 6-hourly National Centers for Environmental Prediction (NCEP) Final analysis (FNL) data for 36 hours form 1200 UTC 20 to 0000 UTC 22 September 2010. Twenty-five experiments were performed, consisting of five different PBL schemes—Yonsei University (YSU), Mellor-Yamada-Janjic (MYJ), Quasi Normal Scale Elimination (QNSE), Bougeault and Lacarrere (BouLac), and University of Washington (UW)—and five different MPS schemes—WRF Single-Moment 6-class (WSM6), Goddard, Thompson, Milbrandt 2-moments, and Morrison 2-moments. As expected, there was a specific combination of MPS and PBL schemes that showed good skill in forecasting the precipitation. However, there was no specific PBL or MPS scheme that outperformed the others in all aspects. The experiments with the UW PBL or Thompson MPS scheme showed a relatively small amount of precipitation. Analyses form the sensitivity experiments confirmed that the spatial distribution of the simulated precipitation was dominated by the PBL processes, whereas the MPS processes determined the amount of rainfall. It was also found that the temporal evolution of the precipitation was influenced more by the PBL processes than by the MPS processes.

UR - http://www.scopus.com/inward/record.url?scp=84926334922&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84926334922&partnerID=8YFLogxK

U2 - 10.1007/s00376-014-4075-6

DO - 10.1007/s00376-014-4075-6

M3 - Article

AN - SCOPUS:84926334922

VL - 32

SP - 855

EP - 869

JO - Advances in Atmospheric Sciences

JF - Advances in Atmospheric Sciences

SN - 0256-1530

IS - 6

ER -