Browse > Article
http://dx.doi.org/10.14191/Atmos.2021.31.1.017

Effect of Model Domain on Summer Precipitation Predictions over the Korean Peninsula in WRF Model  

Kim, Hyeong-Gyu (Department of Atmospheric Science, Kongju National University)
Lee, Hye-Young (Department of Atmospheric Science, Kongju National University)
Kim, Joowan (Department of Atmospheric Science, Kongju National University)
Lee, Seungwoo (Numerical Data Application Division, Numerical Modeling Center, Korea Meteorological Administration)
Boo, Kyung On (Operational Systems Development Department, National Institute of Meteorological Sciences)
Lee, Song-Ee (Department of Atmospheric Science, Kongju National University)
Publication Information
Atmosphere / v.31, no.1, 2021 , pp. 17-28 More about this Journal
Abstract
We investigated the impact of domain size on the simulated summer precipitation over the Korean Peninsula using the Weather Research and Forecasting (WRF) model. Two different domains are integrated up to 72-hours from 29 June 2017 to 28 July 2017 when the Changma front is active. The domain sizes are adopted from previous RDAPS (Regional Data Assimilation and Prediction System) and current LDAPS (Local Data Assimilation and Prediction System) operated by the Korea Meteorological Administration, while other model configurations are fixed identically. We found that the larger domain size showed better prediction skills, especially in precipitation forecast performance. This performance improvement is particularly noticeable over the central region of the Korean Peninsula. Comparisons of physical aspects of each variable revealed that the inflow of moisture flux from the East China Sea was well reproduced in the experiment with a large model domain due to a more realistic North Pacific high compared to the small domain experiment. These results suggest that the North Pacific anticyclone could be an important factor for the precipitation forecast during the summer-time over the Korean Peninsula.
Keywords
Domain size; precipitation; sensitivity test; WRF model; Korean Peninsula;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Chu, Q., Z. Xu, Y. Chen, and D. Han, 2018: Evaluation of the ability of the Weather Research and Forecasting model to reproduce a sub-daily extreme rainfall event in Beijing, China using different domain configurations and spin-up times. Hydrol. Earth Syst. Sci., 22, 3391-3407, doi:10.5194/hess-22-3391-2018.   DOI
2 Jeong, J.-H., D.-I. Lee, and C.-C. Wang, 2016: Impact of the cold pool on mesoscale convective system-produced extreme rainfall over southeastern South Korea: 7 July 2009. Mon. Wea. Rev., 144, 3985-4006, doi:10.1175/MWR-D-16-0131.1.   DOI
3 Kamae, Y., W. Mei, and S.-P. Xie, 2019: Ocean warming pattern effects on future changes in East Asian atmospheric rivers. Environ. Res. Lett., 14, 054019, doi:10.1088/1748-9326/ab128a.   DOI
4 Kim, Y.-J., and A. Arakawa, 1995: Improvement of orographic gravity wave parameterization using a mesoscale gravity wave model. J. Atmos. Sci., 52, 1875-1902.   DOI
5 Kim, E.-H., K.-D. Ahn, H.-C. Lee, J.-C. Ha, and E. Lim, 2015: A study on the effect of ground-based GPS data assimilation into very-short-range prediction model. Atmosphere, 25, 623-637, doi:10.14191/Atmos.2015.25.4.623.   DOI
6 Kwon, Y. C., and S.-Y. Hong, 2017: A mass-flux cumulus parameterization scheme across gray-zone resolutions. Mon. Wea. Rev., 145, 583-598, doi:10.1175/MWR-D-16-0034.1.   DOI
7 Lee, T.-Y., and Y.-H. Kim, 2007: Heavy precipitation systems over the Korean peninsula and their classification. J. Korean Meteor. Soc., 43, 367-396.
8 Lee, J.-Y., W. Kim, and T.-Y. Lee, 2017: Physical and dynamic factors that drove the heavy rainfall event over the middle Korean Peninsula on 26-27 July 2011. Asia-Pac. J. Atmos. Sci., 53, 101-120, doi:10.1007/s13143-017-0009-4.   DOI
9 Wang, X., P. Steinle, A. Seed, and Y. Xiao, 2016: The sensitivity of heavy precipitation to horizontal resolution, domain size, and rain rate assimilation: case studies with a convection-permitting model. Adv. Meteorol., 2016, 7943845, doi:10.1155/2016/7943845.   DOI
10 Tewari, M., and Coauthors, 2004: Implementation and verification of the unified NOAH land surface model in the WRF model. Extended Abstract, 20th conference on weather analysis and forecasting/16th conference on numerical weather prediction, 14, 11-15 [Available online at https://ams.confex.com/ams/84Annual/techprogram/paper_69061.htm].
11 Yeo, S.-R., M. H. Kwon, and J.-Y. Lee, 2020: The non-linear relationship between the western North Pacific anticyclonic circulation and Korean summer precipitation on subseasonal timescales. Climate Dyn., 54, 525-541, doi:10.1007/s00382-019-05013-7.   DOI
12 Shin, H. H., and S.-Y. Hong, 2015: Representation of the subgrid-scale turbulent transport in convective boundary layers at gray-zone resolutions. Mon. Wea. Rev., 143, 250-271, doi:10.1175/MWR-D-14-00116.1.   DOI
13 Min, J.-S., J.-W. Roh, J.-B. Jee, and S. Kim, 2016: A study on sensitivity of heavy precipitation to domain size with a regional numerical weather prediction model. Atmosphere, 26, 85-95, doi:10.14191/Atmos.2016.26.1.085 (in Korean with English abstract).   DOI
14 Peralta, C., Z. Ben Bouallegue, S. E. Theis, C. Gebhardt, and M. Buchhold, 2012: Accounting for initial condition uncertainties in COSMO‐DE‐EPS. J. Geophys. Res. Atmos., 117, D07108, doi:10.1029/2011JD016581.   DOI
15 Shi, Y., Z. Jiang, Z. Liu, and L. Li, 2020: A Lagrangian analysis of water vapor sources and pathways for precipitation in East China in different stages of the East Asian summer monsoon. J. Climate, 33, 977-992, doi:10.1175/JCLI-D-19-0089.1.   DOI
16 Skamarock, W. C., and Coauthors, 2019: A Description of the Advanced Research WRF Model Version 4. NCAR Tech. Note NCAR/TN-556+STR, 145 pp, doi:10.5065/1dfh-6p97.   DOI
17 Sohn, B. J., G.-H. Ryu, H.-J. Song, and M.-L. Ou, 2013: Characteristic features of warm-type rain producing heavy rainfall over the Korean Peninsula inferred from TRMM measurements. Mon. Wea. Rev., 141, 3873-3888, doi:10.1175/MWR-D-13-00075.1.   DOI
18 Song, H.-J., and B.-J. Sohn, 2015: Two heavy rainfall types over the Korean peninsula in the humid East Asian summer environment: A satellite observation study. Mon. Wea. Rev., 143, 363-382, doi:10.1175/MWR-D-14-00184.1.   DOI
19 Dash, S. K., K. C. Pattnayak, S. K. Panda, D. Vaddi, and A. Mamgain, 2015: Impact of domain size on the simulation of Indian summer monsoon in RegCM4 using mixed convection scheme and driven by HadGEM2. Climate Dyn., 44, 961-975, doi:10.1007/s00382-014-2420-1.   DOI
20 Fasullo, J., and P. J. Webster, 2003: A hydrological definition of Indian monsoon onset and withdrawal. J. Climate, 16, 3200-3211.   DOI
21 Li, Y., G. Lu, Z. Wu, H. He, J. Shi, Y. Ma, and S. Weng, 2016: Evaluation of optimized WRF precipitation forecast over a complex topography region during flood season. Atmosphere, 7, 145, doi:10.3390/atmos7110145.   DOI
22 Han, J.-Y., S.-Y. Hong, K.-S. S. Lim, and J. Han, 2016: Sensitivity of a cumulus parameterization scheme to precipitation production representation and its impact on a heavy rain event over Korea. Mon. Wea. Rev., 144, 2125-2135, doi:10.1175/MWR-D-15-0255.1.   DOI
23 Gebhardt, C., S. E. Theis, M. Paulat, and Z. B. Bouallegue, 2011: Uncertainties in COSMO-DE precipitation forecasts introduced by model perturbations and variation of lateral boundaries. Atmos. Res., 100, 168-177, doi:10.1016/j.atmosres.2010.12.008.   DOI
24 Goswami, P., and G. N. Mohapatra, 2014: A comparative evaluation of impact of domain size and parameterization scheme on simulation of tropical cyclones in the Bay of Bengal. J. Geophys. Res. Atmos., 119, 10-22, doi:10.1002/2013JD020592.   DOI
25 Goswami, P., H. Shivappa, and S. Goud, 2012: Comparative analysis of the role of domain size, horizontal resolution and initial conditions in the simulation of tropical heavy rainfall events. Meteor. Appl., 19, 170-178, doi:10.1002/met.253.   DOI
26 Hong, S.-Y., 2004: Comparison of heavy rainfall mechanisms in Korea and the central US. J. Meteorol. Soc. Jpn. Ser. II, 82, 1469-1479.   DOI
27 Hong, S.-Y., and J.-W. Lee, 2009: Assessment of the WRF model in reproducing a flash-flood heavy rainfall event over Korea. Atmos. Res., 93, 818-831.   DOI
28 Hong, S.-Y., J. Choi, E.-C. Chang, H. Park, and Y.-J. Kim, 2008: Lower-tropospheric enhancement of gravity wave drag in a global spectral atmospheric forecast model. Wea. Forecasting, 23, 523-531.   DOI
29 Hong, S.-Y., and J. Jang, 2018: Impacts of shallow convection processes on a simulated boreal summer climatology in a global atmospheric model. Asia-Pac. J. Atmos. Sci., 54, 361-370, doi:10.1007/s13143-018-0013-3.   DOI
30 Hong, S.-Y., J. Dudhia, and S.-H. Chen, 2004: A revised approach to ice microphysical processes for the bulk parameterization of clouds and precipitation. Mon. Wea. Rev., 132, 103-120.   DOI
31 Hong, S.-Y., W. T. Kwon, I. U. Chung, H. J. Baek, Y. H. Byun, and D. H. Cha, 2011: A review of regional climate change in East-Asia and the Korean peninsula based on global and regional climate modeling researches. J. Climate Change Res., 2, 269-281 (in Korean with English abstract).
32 Hong, S.-Y., and Coauthors, 2018: The Korean Integrated Model (KIM) system for global weather forecasting. Asia-Pac. J. Atmos., 54, 267-292, doi:10.1007/s13143-018-0028-9.   DOI
33 Iacono, M. J., J. S. Delamere, E. J. Mlawer, M. W. Shephard, S. A. Clough, and W. D. Collins, 2008: Radiative forcing by long‐lived greenhouse gases: Calculations with the AER radiative transfer mod els. J. Geophys. Res. Atmos., 113, D13103.
34 Aligo, E. A., W. A. Gallus Jr., and M. Segal, 2009: On the impact of WRF model vertical grid resolution on Midwest summer rainfall forecasts. Wea. Forecasting, 24, 575-594.   DOI
35 An, S.-I., K.-J. Ha, K.-H. Seo, S.-W. Yeh, S.-K. Min, and C.-H. Ho, 2011: A review of recent climate trends and causes over the Korean Peninsula. J. Climate Change Res., 2, 237-251 (in Korean with English abstract).
36 Choi, H.-J., and S.-Y. Hong, 2015: An updated subgrid orographic parameterization for global atmospheric forecast models. J. Geophys. Res. Atmos., 120, 12445-12457, doi:10.1002/2015JD024230.   DOI