DOI QR코드

DOI QR Code

Future Climate Change Scenarios over Korea Using a Multi-Nested Downscaling System: A Pilot Study

  • Hong, Song-You (Department of Atmospheric Sciences and Global Environment Laboratory, Yonsei University) ;
  • Moon, Nan-Kyoung (Korea Environment Institute) ;
  • Lim, Kyo-Sun Sunny (Department of Atmospheric Sciences and Global Environment Laboratory, Yonsei University) ;
  • Kim, Jong-Won (Korea Environment Institute)
  • Received : 2010.01.14
  • Accepted : 2010.06.05
  • Published : 2010.11.01

Abstract

This study examines a scenario of future summer climate change for the Korean peninsula using a multi-nested regional climate system. The global-scale scenario from the ECHAM5, which has a 200 km grid, was downscaled to a 50 km grid over Asia using the National Centers for Environmental Prediction (NCEP) Regional Spectral Model (RSM). This allowed us to obtain large-scale forcing information for a one-way, double-nested Weather and Research Forecasting (WRF) model that consists of a 12 km grid over Korea and a 3 km grid near Seoul. As a pilot study prior to the multi-year simulation work the years 1995 and 2055 were selected for the present and future summers. This RSM-WRF multi-nested downscaling system was evaluated by examining a downscaled climatology in 1995 with the largescale forcing from the NCEP/Department of Energy (DOE) reanalysis. The changes in monsoonal flows over East Asia and the associated precipitation change scenario over Korea are highlighted. It is found that the RSM-WRF system is capable of reproducing large-scale features associated with the East-Asian summer monsoon (EASM) and its associated hydro-climate when it is nested by the NCEP/DOE reanalysis. The ECHAM5-based downscaled climate for the present (1995) summer is found to suffer from a weakening of the low-level jet and sub-tropical high when compared the reanalysis-based climate. Predicted changes in summer monsoon circulations between 1995 and 2055 include a strengthened subtropical high and an intensified mid-level trough. The resulting projected summer precipitation is doubled over much of South Korea, accompanied by a pronounced surface warming with a maximum of about 2 K. It is suggested that downscaling strategy of this study, with its cloud-resolving scale, makes it suitable for providing high-resolution meteorological data with which to derive hydrology or air pollution models.

Keywords

References

  1. Byun, D. W., and K. L. Schere, 2006: Review of the governing equations, computational algorithms, and other components of the models-3 Community Multiscale Air Quality (CMAQ) modeling system. Appl. Mech. Rev., 59, 51-77. https://doi.org/10.1115/1.2128636
  2. Cha, D.-H., and D.-K. Lee, 2009: Reduction of systematic errors in regional climate simulations of the summer monsoon over East Asia and the western North Pacific by applying the spectral nudging technique, J. Geophys. Res, 114, D14108, doi:10.1029/2008JD011176.
  3. Fu, C, S. Wang, Z. Xiong, W. J. Gutowski, D.-K. Lee, J. L. McGregor, Y. Sato, H. Kato, J.-W. Kim, and M.-S. Suh, 2005: Regional climate model intercomparison project for Asia. Bull. Amer. Meteor. Soc., 86, 257-266. https://doi.org/10.1175/BAMS-86-2-257
  4. Giorgi, F., J. W. Hurrell, M. R. Marinucci, and M. Beniston, 1997: Elevation dependence of the surface climate change signal: A model study. J. Climate, 10, 288-296. https://doi.org/10.1175/1520-0442(1997)010<0288:EDOTSC>2.0.CO;2
  5. Ham, S.-R., S.-J. Park, C.-H. Bang, B.-J. Jung, and S.-Y. Hong, 2005: Intercomparison of the East-Asian summer monsoon on 11-18 July 2004, simulated by WRF, MM5, and RSM models. Atmosphere, 15, 91-99. (in Korean with English abstract)
  6. Han, J., and J. Roads, 2004: US climate sensitivity simulated with the NCEP regional spectral model. Climatic Change, 62, 115-154. https://doi.org/10.1023/B:CLIM.0000013675.66917.15
  7. Hong, S.-Y., and A. Leetmaa, 1999: An evaluation of the NCEP RSM for regional climate modeling. J. Climate, 12, 592-609. https://doi.org/10.1175/1520-0442(1999)012<0592:AEOTNR>2.0.CO;2
  8. Hong, S.-Y., H.-M. H. Juang, and D.-K. Lee, 1999: Evaluation of a regional spectral model for the East Asian monsoon case studies for July 1987 and 1988. J. Meteor. Soc. Japan, 77, 553-572. https://doi.org/10.2151/jmsj1965.77.2_553
  9. Hurkmans, R., W. Terink, R. Uijlenhoet, P. Torfs, D. Jacob, and P. A. Troch, 2010: Changes in streamflow dynamics in the Rhine basin under three high-resolution regional climate scenarios. J. Climate, 23, 679-699. https://doi.org/10.1175/2009JCLI3066.1
  10. Im, E.-S., E. Coppola, F. Giorgi, and X. Bi, 2010: Validation of a high resolution regional climate model for the Alpine region and effects of a subgrid-scale topography and land use representation. J. Climate, 23, 1854-1873. https://doi.org/10.1175/2009JCLI3262.1
  11. IPCC, 2007: Climate Change 2007: The Physical Science Basis. Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K. B. Averyt, M. Tigora, and H. L. Miller, Eds., Cambridge University Press, 996 pp.
  12. Juang, H.-M. H., S.-Y. Hong, and M. Kanamitsu, 1997: The NCEP regional spectral model: An update. Bull. Amer. Meteor. Soc., 78, 2125-2143. https://doi.org/10.1175/1520-0477(1997)078<2125:TNRSMA>2.0.CO;2
  13. Kanamaru, H., and M. Kanamitsu, 2007: Scale-selective bias correction in a downscaling of global analysis using a regional model. Mon. Wea. Rev., 135, 334-350. https://doi.org/10.1175/MWR3294.1
  14. Kanamitsu, M., K. Yoshimura, Y.-B. Yhang, and S.-Y. Hong, 2010: Errors of interannual variability and trend in dynamical downscaling of reanalysis. J. Geophys. Res., 115, D17115, doi:10.1029/2009JD013511.
  15. Kang, H., and S.-Y. Hong, 2008: An assessment of the land surface parameters on the simulated regional climate circulations: The 1997 and 1998 East Asian summer monsoon cases. J. Geophys. Res., 113, D15121, doi:10.1029/2007JD009499.
  16. Kim, J.-E., and S. -Y. Hong, 2007: Impact of soil moisture anomalies on summer rainfall over East Asia: A regional climate model study. J. Climate, 20, 5732-5743. https://doi.org/10.1175/2006JCLI1358.1
  17. Kleinn, J., C. Frei, J. Gurtz, D. Luthi, P. L. Vidale, and C. Schar, 2005: Hydrologic simulations in the Rhine basin driven by a regional climate model. J. Geophys. Res., 110, D04102, doi:10.1029/2004JD005143.
  18. Koo, M.-S., and S.-Y. Hong, 2010: Diurnal variations of simulated precipitation over East Asia in two regional climate models. J. Geophys. Res., 115, D05105, doi:10.1029/2009JD012574.
  19. Kwadijk, J. C. J., and J. Rotmans, 1995: The impact of climate change on the river Rhine: a scenario study. Climatic Change, 30, 397-425. https://doi.org/10.1007/BF01093854
  20. Leung, L. R., and Y. Qian, 2003: The sensitivity of precipitation and snowpack simulations to model resolution via nesting in regions of complex terrain. J. Hydrometeorol., 4, 1025-1043. https://doi.org/10.1175/1525-7541(2003)004<1025:TSOPAS>2.0.CO;2
  21. Liu, Y.-Q., R. Avissar, and F. Giorgi, 1996: Simulation with the regional climate model RegCM2 of extremely anomalous precipitation during the 1991 East Asian flood: An evaluation study. J. Geophys. Res., 101, 26199-26216. https://doi.org/10.1029/96JD01612
  22. Middelkoop H., K. Daamen, D. Gellens, W. Grabs, J. C. J. Kwadijk, H. Lang, B.W.A.H. Parmet, B. Schadler, J. Schulla, and K. Wilke, 2001: Impact of climate change on hydrological regimes and water resources management in the Rhine basin. Climatic Change, 49, 105-128. https://doi.org/10.1023/A:1010784727448
  23. Nakicenovic, N., and Coauthors, 2000: IPCC Special Report on Emissions Scenarios. Cambridge University Press, 599 pp.
  24. Pielke, R., and R. Avissar, 1990: Influence of landscape structure on local and regional climate. Landscape Ecol., 4, 133-155. https://doi.org/10.1007/BF00132857
  25. Roeckner, E., and Coauthors, 2003: The atmospheric general circulation model ECHAM 5. Part I: Model description. Technical Report 349, Max Planck Institute for Meteorology/MPI-Report 354.
  26. Sasaki, H., H. Kida, T. Koide, and M. Chiba, 1995: The performance of long-term integrations of a limited area model with the spectral boundary coupling method. J. Meteor. Soc. Japan, 73, 165-181. https://doi.org/10.2151/jmsj1965.73.2_165
  27. Seol, K.-H., and S.-Y. Hong, 2009: Relationship between the Tibetan snow in spring and the East Asian summer monsoon in 2003: A global and regional model study. J. Climate, 22, 2095-2110. https://doi.org/10.1175/2008JCLI2496.1
  28. Shin, H., and S.-Y. Hong, 2009: Quantitative precipitation forecast experiments of heavy rainfall over Jeju Island on 14-16 September 2007 using the WRF model. Asia-Pacific J. Atmos. Sci., 45, 71-89.
  29. 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.
  30. Song, J.-H., H.-S., Kang, Y.-H. Byun, and S.-Y. Hong, 2010: Effects of the Tibetan Plateau on the Asian summer monsoon in a regional climate model. Int. J. Climatol., 30, 743-759.
  31. Xie, P., and P. A. Arkin, 1997: Global precipitation: A 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bull. Amer. Meteor. Soc, 78, 2539-2558. https://doi.org/10.1175/1520-0477(1997)078<2539:GPAYMA>2.0.CO;2
  32. Yhang, Y.-B., and S.-Y. Hong, 2008: Improved physical processes in a regional climate model and their impact on the simulated summer monsoon circulations over East Asia. J. Climate, 21, 963-979. https://doi.org/10.1175/2007JCLI1694.1

Cited by

  1. Projected Climate Change Scenario over East Asia by a Regional Spectral Model vol.32, pp.7, 2010, https://doi.org/10.5467/jkess.2011.32.7.770
  2. Potential increase of flood hazards in Korea due to global warming from a high-resolution regional climate simulation vol.48, pp.1, 2010, https://doi.org/10.1007/s13143-012-0010-x
  3. 한반도 시공간적 바람정보 생산과 토지피복별 보정 알고리즘 개발 vol.20, pp.3, 2012, https://doi.org/10.7319/kogsis.2012.20.3.019
  4. Spectral nudging sensitivity experiments in a regional climate model vol.48, pp.4, 2012, https://doi.org/10.1007/s13143-012-0033-3
  5. A regression-based statistical correction of mesoscale simulations for near-surface wind speed using remotely sensed surface observations vol.48, pp.4, 2012, https://doi.org/10.1007/s13143-012-0040-4
  6. Mesoscale simulations of multi-decadal variability in the wind resource over Korea vol.49, pp.2, 2010, https://doi.org/10.1007/s13143-013-0019-9
  7. The Global/Regional Integrated Model system (GRIMs) vol.49, pp.2, 2010, https://doi.org/10.1007/s13143-013-0023-0
  8. Future Changes in Surface Runoff over Korea Projected by a Regional Climate Model under A1B Scenario vol.2014, pp.None, 2010, https://doi.org/10.1155/2014/753790
  9. A high-resolution ocean-atmosphere coupled downscaling of the present climate over California vol.42, pp.3, 2014, https://doi.org/10.1007/s00382-013-1670-7
  10. Assessment of future climate change over East Asia due to the RCP scenarios downscaled by GRIMs-RMP vol.42, pp.3, 2010, https://doi.org/10.1007/s00382-013-1841-6
  11. Projected climate change scenario over California by a regional ocean-atmosphere coupled model system vol.122, pp.4, 2010, https://doi.org/10.1007/s10584-013-1025-8
  12. Evaluation of the CORDEX-Africa multi-RCM hindcast: systematic model errors vol.42, pp.5, 2014, https://doi.org/10.1007/s00382-013-1751-7
  13. Projected changes in wind speed over the Republic of Korea under A1B climate change scenario vol.34, pp.5, 2010, https://doi.org/10.1002/joc.3739
  14. Potential for added value to downscaled climate extremes over Korea by increased resolution of a regional climate model vol.117, pp.3, 2010, https://doi.org/10.1007/s00704-013-1034-6
  15. RETRACTED ARTICLE: Changes in the characteristics of atmosphere-ocean interactions over the South China Sea during summer vol.43, pp.7, 2014, https://doi.org/10.1007/s00382-014-2150-4
  16. Assessing the Capabilities of Three Regional Climate Models over CORDEX Africa in Simulating West African Summer Monsoon Precipitation vol.2015, pp.None, 2010, https://doi.org/10.1155/2015/935431
  17. Development and implementation of river-routing process module in a regional climate model and its evaluation in Korean river basins : RIVER DISCHARGE SIMULATION IN RCM vol.120, pp.10, 2010, https://doi.org/10.1002/2014jd022698
  18. Evaluation of climatological tropical cyclone activity over the western North Pacific in the CORDEX-East Asia multi-RCM simulations vol.47, pp.3, 2016, https://doi.org/10.1007/s00382-015-2869-6
  19. Simulation of present-day precipitation over India using a regional climate model vol.128, pp.2, 2010, https://doi.org/10.1007/s00703-015-0409-x
  20. Evidence of the observed change in the atmosphere-ocean interactions over the South China Sea during summer in a regional climate model vol.128, pp.5, 2010, https://doi.org/10.1007/s00703-016-0433-5
  21. Added value of very high resolution climate simulations over South Korea using WRF modeling system vol.54, pp.1, 2010, https://doi.org/10.1007/s00382-019-04992-x
  22. Sensitivity of Summer Precipitation over Korea to Convective Parameterizations in the RegCM4: An Updated Assessment vol.2020, pp.None, 2010, https://doi.org/10.1155/2020/1329071
  23. Evaluation of multi‐RCM high‐resolution hindcast over the CORDEX East Asia Phase II region: Mean, annual cycle and interannual variations vol.40, pp.4, 2010, https://doi.org/10.1002/joc.6323
  24. Synoptic analysis and mesoscale numerical modelling of heavy precipitation: a case study of flash flood event in Kota Kinabalu, Malaysia vol.132, pp.2, 2020, https://doi.org/10.1007/s00703-019-00682-9
  25. CORDEX-동아시아 2단계 영역에 대한 다중 RCM의 모의성능 및 불확실성 평가 vol.30, pp.4, 2010, https://doi.org/10.14191/atmos.2020.30.4.361
  26. Impact of boundary layer simulation on predicting radioactive pollutant dispersion: A case study for HANARO research reactor using the WRF-MMIF-CALPUFF modeling system vol.53, pp.1, 2010, https://doi.org/10.1016/j.net.2020.06.011