References
- Agricultural Technical Institute, 1986: Features of KoreanAgro-climate and Countermeasure of Capital MeteorologicalDisasters. Rural Development Administration,194pp.
- Ahn, J. B., C. K. Park, and E. S. Im, 2002: Reproductionof Regional Scale Surface air Temperature by EstimatingSystematic Bias of Mesoscale Numerical Model. Journal ofKorean Meteorological Society 38(1), 69-80.
- Boo, K. O., W. T. Kwon, J. H. Oh, H. J. Baek, 2004: Responseof global warming on regional climate change overKorea: An experiment with the MM5 model. GeophysicalResearch Letters 31, L21206. https://doi.org/10.1029/2004GL021171
- Dudiha, J., 1989: Numerical study of convection observedduring the winter monsoon experiment using a msoscaletwo-dimensional model. Journal of the AtmosphericSciences 46, 3077-3107. https://doi.org/10.1175/1520-0469(1989)046<3077:NSOCOD>2.0.CO;2
- Ek, M. B., K. E. Mitchell, Y. Lin, E. Rogers, P. Grunmann, V.Koren, G. Gayno, and J. D. Tarpley, 2003: Implementationof Noah land surface model advances in the NationalCenters for Environmental Prediction operational mesoscaleEta model. Journal of Geophysical Research 108(D22),8851pp. https://doi.org/10.1029/2002JD003296
- Fisher, R. A. 1915: Frequency distribution of the values ofthe correlation coefficient in samples of an indefinitelylarge population. Biometrika 10(4), 507-521.
- Hong, S. Y. and H. L. Pan, 1996: Nonlocal boundary layervertical diffusion in a medium-range forecast model.Monthly Weather Review 124, 2322-2339. https://doi.org/10.1175/1520-0493(1996)124<2322:NBLVDI>2.0.CO;2
- Hong, S. Y. and J. Dudhia, 2003: Testing of a new nonlocalboundary layer vertical diffusion scheme in numericalweather prediction applications. 20th Conference on WeatherAnalysis and Forecasting/16th Conference on NumericalWeather Prediction, Seattle, WA, 17.3pp.
- Hong, S. Y., and J. O. J. Lim, 2006: The WRF Single-Moment6-Class Microphysics Scheme (WSM6). Journal of KoreanMeteorological Society 42(2), 129-151.
- Hur, J., J. B. Ahn, and C. Kim, 2009: Reproduction of RegionalScale Climate over Korean Peninsula by CorrectingSystematic Bias of Regional Climate Model. 2009 FallConference, Deagu, Korean Meteorological Society,282-283.
- Im, E. S., J. B. Ahn, A. R. Remedio, and W. T. Kwon, 2008a:Sensitivity of the regional climate of East/Southeast Asiato convective parameterizations in the RegCM3 modellingsystem. Part 1: Focus on the Korean peninsula. InternationalJournal of Climatology 28(14), 1861-1877. https://doi.org/10.1002/joc.1664
- Im, E. S., J. B. Ahn, W. T. Kwon, and F. Giorgi, 2008b:Multi-decadal scenario simulation over Korea using aone-way double-nested regional climate model system.Part 2: future climate projection (2021–2050). ClimateDynamics 30(2/3), 239-254. https://doi.org/10.1007/s00382-007-0282-5
- IPCC, 2007: Climate Change 2007: The Physical ScienceBasis. Contribution of Working Group I to the FourthAssessment Report of the Intergovernmental Panel onClimate Change, S. Solomon, D. Qin, M. Manning, Z.Chen, M. Marquis, K. B. Averyt, M. Tignor and H. L.Miller (Eds.), Cambridge University Press, Cambridge,United Kingdom.
- Jeong K. W., W. K. Kim, J. C. Nam, B. C. Choi, M. Y.Lee, Y. S. Chun, K. B. Yoo, J. T. Choi, J. S. Jeon, J. I.Yun, M. Y. Shin, B. Y. Lee, J. T. Lee, S. H. Kim, M. D.Yong, S. J. Jun, O. H. Kim, and J. H. Yang, 1990:Development of an Operational Weather InformationSystem for Agricultural Applications in Cheju Island(III).Ministry of Science and Technology, 28pp.
- Kain, J. S., and J. M. Fritsch, 1990: A one-dimensionalentraining/ detraining plume model and its application inconvective parameterization. Journal of the AtmosphericSciences 47, 2784-2802. https://doi.org/10.1175/1520-0469(1990)047<2784:AODEPM>2.0.CO;2
- Kain, J. S., and J. M. Fritsch, 1993: Convective parameterizationfor mesoscale models: The Kain-Fritcsh scheme.The representation of cumulus convection in numericalmodels, K. A. Emanuel and D. J. Raymond (Eds.),American Meteor Society, 246 pp.
- Kim, J. H., and J. I. Yun, 2008: On Mapping Growing Degree-Days (GDD) from Monthly Digital Climatic Surfaces forSouth Korea. Korean Journal of Agricultural and ForestMeteorology 10(1), 1-8. https://doi.org/10.5532/KJAFM.2008.10.1.001
- Ministry of Agriculture and Forestry, 2001: Developmentof Regional Climate Prediction and Application Systemfor Agriculture. Ministry of Agriculture and Forestry, 8pp.
- Ministry of Science and Technology, 1990: Development ofan Operational Weather Information System for AgriculturalApplications in Cheju Island(III). Ministry of Scienceand Technology, 28pp.
- Mlawer, E. J., S. J. Taubman, P. D. Brown, M. J. Iacono, and S.A. Clough, 1997: Radiative trans-fer for inhomogeneousatmosphere: RRTM, a validated correlated-k model forthe long-wave. Journal of Geophysical Research 102(D14),16663-16682. https://doi.org/10.1029/97JD00237
- Park, C. K., J. B. Ahn, H. S. Jung, J. T. Lee, and M. K.Kim, 2001: Development of Regional Climate Predictionand Application System for Agriculture. Ministry ofAgriculture and Forestry, 8pp.
- Rural Development Administration, 1986: Feature of Korea’sagricultural climatology and meteorological disastermeasures of capital. Rural Development Administration,194pp.
- Timbal, B., A. Dufour, and B. McAvaney, 2003: An estimateof future climate change for western France using astatistical downscaling technique. Climate Dynamics 20,807-823. https://doi.org/10.1007/s00382-002-0298-9
- Shim, K. M., G. Y. Kim, K. A. Roh, H. C. Jeong, and D. B.Lee, 2008: Evaluation of Agro-Climatic Indices underClimate Change Korean. Korean Journal of Agriculturaland Forest Meteorology 10(4), 113-120. (in Korean withEnglish abstract) https://doi.org/10.5532/KJAFM.2008.10.4.113
- Yun, J. I., 2007: Applications of “High Definition DigitalClimate Maps” in restructuring of Korean agriculture.Korean Journal of Agricultural and Forest Meteorology9, 1-16. (in Korean with English abstract) https://doi.org/10.5532/KJAFM.2007.9.1.001
- http://encyber.com/search_w/reference/bottom1.php?masterno=89142(2003.08.08)
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