Atmosphere (대기)

Korean Meteorological Society (한국기상학회)
권호 표지
DOI QR코드

DOI QR Code

Present-Day Climate of the Korean Peninsula Centered Northern East Asia Based on CMIP5 Historical Scenario Using Fine-Resolution WRF

CMIP5 Historical 시나리오에 근거한 WRF를 이용한 한반도 중심의 동북아시아 상세기후

  • Ahn, Joong-Bae (Division of Earth Environmental System, Pusan National University) ;
  • Hong, Ja-Young (Division of Earth Environmental System, Pusan National University) ;
  • Seo, Myung-Suk (Department of Atmospheric Science, Kongju National University)
  • 안중배 (부산대학교 지구환경시스템학부) ;
  • 홍자영 (부산대학교 지구환경시스템학부) ;
  • 서명석 (공주대학교 대기과학과)
  • Received : 2013.09.30
  • Accepted : 2013.10.23
  • Published : 2013.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

In this study, climate over Korea based on the Historical scenario induced by HadGEM2-AO is simulated by WRF. For this purpose, a system that can be used be for numerical integration over the Far East Asian area of the center of the Korean Peninsula with 12.5 km-horizontal resolution was set-up at "Haebit", the early portion of KMA Supercomputer Unit-3. Using the system, the downscaling experiments were conducted for the period 1979-2010. The simulated results of HadGEM2-AO and WRF are presented in terms of 2 m-temperature and precipitation during boreal summer and winter of Historical for the period 1981~2005, compared with observation. As for the mean 2 m-temperature, the general patterns of HadGEM2-AO and WRF are similar with observation although WRF showed lower values than observation due to the systematic bias. WRF reproduced a feature of the terrain-following characteristics reasonably well owing to the increased horizontal resolution. Both of the models simulated the observed precipitation pattern for DJF than JJA reasonably, while the rainfall over the Korean Peninsula in JJA is less than observation. HadGEM2-AO in DJF 2 m-temperature and JJA precipitation has warm and dry biases over the Korean Peninsula, respectively. WRF showed cold bias over JJA 2 m-temperature and wet bias over DJF precipitation. The larger bias in WRF was attributed to the addition of HadGEM2-AO's bias to WRF's systematic bias. Spatial correlation analysis revealed that HadGEM2-AO and WRF had above 0.8 correlation coefficients except for JJA precipitation. In the EOF analysis, both models results explained basically same phase changes and variation as observation. Despite the difference in mean and bias fields for both models, the variabilities of the two models were almost similar with observation in many respects, implying that the downscaled results can be effectively used for the study of regional climate around the Korean Peninsula.

Keywords

References

  1. Ahn, J.-B., J.-Y. Hong, and K.-M. Shim, 2010: Agro-climate indices changes over the korean peninsula in $CO_2$ doubled climate induced by atmosphere-oceanland-ice coupled general circulation model. Korean J. Agr. Forest Meteor., 12, 11-22 (in Korean with English abstract). https://doi.org/10.5532/KJAFM.2010.12.1.011
  2. Baek, H.-J., C.-H. Cho, W.-T. Kwon, S.-K. Kim, J.-Y. Cho, and Y. Kim, 2011: Development strategy for new climate change scenarios based on RCP. Climate Change Res., 2, 55-68 (in Korean with English abstract). https://doi.org/10.3724/SP.J.1248.2011.00055
  3. Boo, K.-O., W.-T. Kwon, and J.-K. Kim, 2005: Vegetation changes in the regional surface climate over East Asia due to global warming using BIOME4. Il Nuovo Cimento, 27, 317-327.
  4. Chang, C.-P., 2004: East Asian Monsoon, World Scientific, 564 pp.
  5. Chen, F., and J. Dudhia, 2001: Coupling an advanced landsurface/hydrology model with the Penn State/NCAR MM5 modeling system. Part I: Model description and implementation. Mon. Wea. Rev., 129, 569-585. https://doi.org/10.1175/1520-0493(2001)129<0569:CAALSH>2.0.CO;2
  6. Chen, T.-C., S.-Y. Wang, W.-R. Huang, and M.-C. Yen, 2004: Variation of the East Asian Summer Monsoon Rainfall*. J. Climate, 17, 744-762. https://doi.org/10.1175/1520-0442(2004)017<0744:VOTEAS>2.0.CO;2
  7. Choi, S.-J., D.-K. Lee, and S.-G. Oh, 2011: Regional climate simulations over East-Asia by using SNURCM and WRF forced by HadGEM2-AO. J. Korean Earth Sci. Soc., 32, 750-760 (in Korean with English abstract). https://doi.org/10.5467/JKESS.2011.32.7.750
  8. Collins, W. D., J. K. Hackney, and D. P. Edwards, 2002: An updated parameterization for infrared emission and absorption by water vapor in the National Center for Atmospheric Research Community Atmosphere Model. J. Geophys. Res., 107, 1-20. doi:10.1029/2001JD001365.
  9. Collins, W. J., and Coauthors, 2011: Development and evaluation of an Earth-system model - HadGEM2. Geosci. Model Dev. Discuss., 4, 997-1062, doi:10.5194/gmdd-4-997-2011.
  10. Harris, I., P. D. Jones, T. J. Osborn, and D. H. Lister, 2013: Updated high-resolution grids of monthly climatic observations - the CRU TS3.10 Dataset. Int. J. Climatol. doi: 10.1002/joc.3711.
  11. Hong, S.-Y., and E.-C. Chang, 2012: Spectral nudging sensitivity experiments in a regional model. Asia-Pac. J. Atmos. Sci., 48, 457-463. https://doi.org/10.1007/s13143-012-0041-3
  12. 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. https://doi.org/10.1175/1520-0493(2004)132<0103:ARATIM>2.0.CO;2
  13. Hong, S.-Y., S.-K. Oh, M.-S. Suh, D.-K. Lee, J.-B. Ahn, and H.-S. Kang, 2013: Future climate changes over North-East Asian region simulated by RegCM4 based on the RCP scenarios. J. Climate Res., 8, 27-44 (in Korean with English abstract).
  14. Hong, S.-Y., Y. Noh, and J. Dudhia, 2006: A new vertical diffusion package with an explicit treatment of entrainment processes. Mon. Wea. Rev., 134, 2318-2341. https://doi.org/10.1175/MWR3199.1
  15. Hori, M. E., and H. Ueda, 2006: Impact of global warming on the East Asian winter monsoon as revealed by nine coupled atmosphere-ocean GCMs. Geophys. Res. Lett., 33, L03713, doi:10.1029/2005GL024961.
  16. Jimenez, P. A., J. Dudhia, J. F. Gonzalez-Rouco, J. Navarro, J. P. Montavez, and E. Garcia-Bustamante, 2012: A revised scheme for the WRF surface layer formulation. Mon. Wea. Rev., 140, 898-918. https://doi.org/10.1175/MWR-D-11-00056.1
  17. Kain, J. S., 2004: The Kain-Fritsch convective parameterization: An update. J. Appl. Meteorol., 43, 170-181. https://doi.org/10.1175/1520-0450(2004)043<0170:TKCPAU>2.0.CO;2
  18. Kim, E.-J., and S.-Y. Hong, 2010: Impact of air-sea interaction on East Asian summer monsoon climate in WRF. J. Geophys. Res., 115, D19118, doi:10.1029/2009JD013253.
  19. Meinshausen, M., and Coauthors, 2011: The RCP greenhouse gas concentrations and their extension from 1765 to 2300. Climatic Change, 109, 213-241. https://doi.org/10.1007/s10584-011-0156-z
  20. Oh, S.-G., M.-S. Suh, D.-H. Cha, and S.-J. Choi, 2011: Simulation skills of RegCM4 for regional climate over CORDEX East Asia driven by HadGEM2-AO. J. Korean Earth Sci. Soc., 32, 732-749 (in Korean with English abstract). https://doi.org/10.5467/JKESS.2011.32.7.732
  21. Park, I.-H., S.-Y. Hong, and W.-T. Kwon, 2005: Characteristics of East-Asia regional climate simulated by RegCM3. Proceeding of Spring meeting of KMS, 254-255.
  22. Qian, W., H.-S. Kang, and D.-K. Lee, 2002: Distribution of seasonal rainfall in the East Asian monsoon region. Theor. Appl. Climatol., 73, 151-168. https://doi.org/10.1007/s00704-002-0679-3
  23. Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, D. M. Barker, M. G. Duda, X.-Y. Huang, W. Wang, and J. G. Powers, 2008: A description of the advanced research WRF version 3. NCAR Technical Note, NCAR/TN-475+STR, 125 pp. DOI: 10.5065/D68S4MVH.
  24. Suh, M.-S., S.-G. Oh, D.-K. Lee, D.-H. Cha, S.-J.Choi, C.-S. Jin, and S.-Y. Hong, 2012: Development of new ensemble methods based on the performance skills of regional climate models over South Korea. J. Climate, 25, 7067-7082. https://doi.org/10.1175/JCLI-D-11-00457.1
  25. Wang, B., Z. Wu, C.-P. Chang, J. Liu, J. Li, and T. Zhou, 2010: Another look at interannual to interdecadal variations of the East Asian winter monsoon: The Northern and Southern temperature modes. J. Climate, 23, 1495-1512. https://doi.org/10.1175/2009JCLI3243.1

Cited by

  1. Regional climate projection over South Korea simulated by the HadGEM2-AO and WRF model chain under RCP emission scenarios vol.63, pp.3, 2015, https://doi.org/10.3354/cr01292
  2. Performance Evaluation of CMIP5 GCMs using CSEOF Analysis vol.16, pp.1, 2016, https://doi.org/10.9798/KOSHAM.2016.16.1.265
  3. The Use and Abuse of Climate Scenarios in Agriculture vol.18, pp.3, 2016, https://doi.org/10.5532/KJAFM.2016.18.3.170
  4. Assessment and prediction of the first-flowering dates for the major fruit trees in Korea using a multi-RCM ensemble vol.37, pp.3, 2016, https://doi.org/10.1002/joc.4800
  5. ) in Sanjiangyuan National Park, China pp.2045-7758, 2019, https://doi.org/10.1002/ece3.5780