The skillful time scale of climate models

Journal of the Meteorological Society of Japan

Volumn 94A, Issue , 2018, Pages 191-197

  Takayabu, Izuru ^a   Hibino, Kenshi ^b  

^a METEOROLOGICAL RESEARCH INSTITUTE   (Japan)

^b UNIVERSITY OF TSUKUBA   (Japan)

Author keywords

Power spectrum; Precipitation; Probability distribution function; Skillful timescale

Indexed keywords

CLIMATE MODELING; COMPUTER SIMULATION; MONSOON; PRECIPITATION (CLIMATOLOGY); PROBABILITY DENSITY FUNCTION; SPECTRAL RESOLUTION; TIMESCALE;

HONSHU; JAPAN; KANTO; TOKYO [KANTO];

EID: 85016940729     PISSN: 00261165     EISSN: None     Source Type: Journal    
DOI: 10.2151/jmsj.2015-038     Document Type: Article

References (11)

1. Castro, C. L., R. A. Pielke, Sr., and G. Leoncini, 2005: Dynamical downscaling: Assessment of value retained and added using the Regional Atmospheric Modeling System (RAMS). J. Geophys. Res., 110, D05108, doi:10.1029/2004JD004721.
2. Hirai, M., T. Sakashita, H. Kitagawa, T. Tsuyuki, M. Hosaka, and M. Oh’izumi, 2007: Development and validation of a new land surface model for JMA’s operational global model using the CEOP observation dataset. J. Meteor. Soc. Japan, 85A, 1-24.
3. Japan Meteorological Agency, 2007: Outline of the operational numerical weather prediction at the Japan Meteorological Agency. (Appendix to WMO technical report on the global data-processing and forecasting system and numerical weather prediction progress report). Japan Meteorological Agency, 194 pp. [Available at http://www.jma.go.jp/jma/jma-eng/jma-center/nwp/outline-nwp/index.htm.]
4. Kain, J. S., and J. M. Fritsch, 1993: Convective parameterization for mesoscale models: The Kain-Fritsch scheme. The Representation of Cumulus Convection in Numerical Models. Meteor. Monogr., 46, Amer. Meteor. Soc., 165-170.
5. Kimoto, M., N. Yasutomi, C. Yokoyama, and S. Emori, 2005: Projected changes in precipitation characteristics around Japan under the global warming. SOLA, 1, 85-88.
6. Mizuta, R., H. Yoshimura, H. Murakami, M. Matsueda, H. Endo, T. Ose, K. Kamiguchi, M. Hosaka, M. Sugi, S. Yukimoto, S. Kusunoki, and A. Kitoh, 2012: Climate simulation using MRI-AGCM3.2 with 20-km grid. J. Meteor. Soc. Japan, 90A, 233-258.
7. Orlanski, I., 1975: A rational subdivision of scales for atmospheric processes. Bull. Amer. Meteor. Soc., 56, 527-530.
8. Pielke, Sr., R. A., 1984: Mesoscale Meteorological Modeling. Academic Press Inc., 612 pp.
9. Rockel, B., C. L. Castro, R. A. Pielke, Sr., H. von Storch, and G. Leoncini, 2008: Dynamical downscaling: Assessment of model system dependent retained and added variability for two different regional climate models. J. Geophys. Res., 113, D21107, doi:10.1029/2007JD009461.
10. Sasaki, H., A. Murata, M. Hanafusa, M. Oh’izumi, and K. Kurihara, 2011: Reproducibility of present climate in a non-hydrostatic regional climate model nested within an atmosphere general circulation model. SOLA, 7, 173-176.
11. Utsumi, N., S. Seto, S. Kanae, E. E. Maeda, and T. Oki, 2011: Does higher surface temperature intensify extreme precipitation? Geophys. Res. Lett., 38, L16708, doi:10.1029/2011GL048426.