지역 기후 모형을 이용한 한반도 강수 모의에서 수평 해상도의 영향
Impact of Horizontal Resolution of Regional Climate Model on Precipitation Simulation over the Korean Peninsula
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조회
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다운로드
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참고문헌
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초록
The impact of horizontal resolution on a regional climate model was investigated by simulating precipitation over the Korean Peninsula. As a regional climate model, the SNURCM(Seoul National University Regional Climate Model) has 21 sigma layers and includes the NCAR CLM(National Center for Atmospheric Research Community Land Model) for land-surface model, the Grell scheme for cumulus convection, the Simple Ice scheme for explicit moisture, and the MRF(Medium-Range Forecast) scheme for PBL(Planetary Boundary Layer) processing. The SNURCM was performed with 20 km resolution for Korea and 60 km resolution for East Asia during a 20-year period (1980-1999). Although the SNURCM systematically underestimated precipitation over the Korean Peninsula, the increase of model resolution simulated more precipitation in the southern region of the Korean Peninsula, and a more accurate distribution of precipitation by reflecting the effect of topography. The increase of precipitation was produced by more detailed terrain data which has a 10 minute terrain in the 20 km resolution model compared to the 30 minute terrain in the 60 km resolution model. The increase in model resolution and more detailed terrain data played an important role in generating more precipitation over the Korean Peninsula. While the high resolution model with the same terrain data resulted in increasing of precipitation over the Korean Peninsula including the adjoining sea, the difference of the terrain data resolution only influenced the precipitation distribution of the mountainous area by increasing the amount of non-convective rain. In conclusion, the regional climate model (SNURCM) with higher resolution simulated more precipitation over the Korean Peninsula by reducing the systematic underestimation of precipitation over the Korean Peninsula.
Abstract
The impact of horizontal resolution on a regional climate model was investigated by simulating precipitation over the Korean Peninsula. As a regional climate model, the SNURCM(Seoul National University Regional Climate Model) has 21 sigma layers and includes the NCAR CLM(National Center for Atmospheric Research Community Land Model) for land-surface model, the Grell scheme for cumulus convection, the Simple Ice scheme for explicit moisture, and the MRF(Medium-Range Forecast) scheme for PBL(Planetary Boundary Layer) processing. The SNURCM was performed with 20 km resolution for Korea and 60 km resolution for East Asia during a 20-year period (1980-1999). Although the SNURCM systematically underestimated precipitation over the Korean Peninsula, the increase of model resolution simulated more precipitation in the southern region of the Korean Peninsula, and a more accurate distribution of precipitation by reflecting the effect of topography. The increase of precipitation was produced by more detailed terrain data which has a 10 minute terrain in the 20 km resolution model compared to the 30 minute terrain in the 60 km resolution model. The increase in model resolution and more detailed terrain data played an important role in generating more precipitation over the Korean Peninsula. While the high resolution model with the same terrain data resulted in increasing of precipitation over the Korean Peninsula including the adjoining sea, the difference of the terrain data resolution only influenced the precipitation distribution of the mountainous area by increasing the amount of non-convective rain. In conclusion, the regional climate model (SNURCM) with higher resolution simulated more precipitation over the Korean Peninsula by reducing the systematic underestimation of precipitation over the Korean Peninsula.
참고문헌 (15)
- Charney, J. G., "Dynamics of deserts and drought in Sahel. Quart", J. Roy. Meteor. Soc., 101, pp.193~202 (1975)
- Dickinson, R. E., "A regional climate model for the western United States", Climatic Change, 15, pp.383~422 (1989)
- Giorgi, F., "Simulation of regional climate using a limited area model nested in a general circulation model", J. Climate, 3, pp.941~963 (1990)
- Giorgi, F., "Introduction to special session: Regional climate modeling revisited", J. Geophys. Res., 104, pp.6335~6352 (1999)
- Grell, G. A., "Prognostic evaluation of assumptions used by cumulus parameterization", Monthly Weather Review, 121, pp.764~787 (1993)
- Hewiston, B., "Regional climates in the GISS general circulation model: Surface air temperature", J. Climate, 7, pp.283~303 (1994)
- IPCC, "Climate Change 2001: The Scientific Basis, Contribution of working group Ⅰ to the Third Assessment Report of the Intergovernmental Panel on Climate Change", pp.881~ (2001), Cambridge University Press
- Latif, M., "A Review of the predictability and prediction of ENSO", J. Geophys. Res, 103, pp.14375~14393 (1998)
- Lee, D.‐K., "Coupling of the NCAR", LSM into the MM5 and Its Application for the East Asian Summer Monsoon, NCAR Mesoscale Model Users’ Workshop, pp.1999[DOI]
- Lee, D.‐K., "Regional Climate Simulation of the 1998 Summer Flood over East Asia", J. Meteor. Soc. Japan, 82, pp.1735~1753 (1998)
- Leung, L.R, "Regional Climate Research", Bull. Amer. Meteor. Soc., 84, pp.89~95 (2003)
- Mo, K. M. Kanamitsu, "Ensemble regional and global climate prediction for the 1997", 1998 winter, 1998, pp.105, 29609~29623
- Nobre, P., "Dynamical Downscaling of Seasonal Climate Prediction over Nordeste Brazil with ECHAM3 and NCEP's Regional Spectral Model sat IRI", Bull. Amer. Meteor. Soc., 82, pp.2787~2796 (2001)
- Phillips, T. J., "Documentation of the AMIP Models on the World Wide Web", Bull. Amer. Meteor. Soc., 77, pp.1191~1196 (1996)
- Robock, A., "Use of general circulation model output in the creation of climate change scenarios for impact analysis", Climatic Change, 23, pp.283~335 (1993)