JAMSTEC Model Intercomparision Project (JMIP)-Reference-Cited by-同舟云学术

JAMSTEC Model Intercomparision Project (JMIP)

Published:2019-04-01 Issue:0 Volume:28 Page:5-34
ISSN:1880-1153
Container-title:JAMSTEC Report of Research and Development
language:en
Short-container-title:JAMSTEC Rep. Res. Dev.

Author:

Kodama Chihiro¹,Kuwano-Yoshida Akira¹²,Watanabe Shingo¹,Doi Takeshi¹,Kashimura Hiroki³,Nasuno Tomoe¹

Affiliation:

1. Japan Agency for Marine-Earth Science and Technology (JAMSTEC)

2. Disaster Prevention Research Institute, Kyoto University, Japan

3. Department of Planetology/Center for Planetary Science, Kobe University, Japan

Publisher

Japan Agency for Marine-Earth Science and Technology

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.jstage.jst.go.jp/article/jamstecr/28/0/28_5/_pdf

Reference133 articles.

1. Adler, R.F., and Coauthors (2003), The version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979-present), J. Hydrometeorol., 4, 1147-1167, doi:10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2.

2. Bjerknes, J. (1964), Atlantic air-sea interaction, Adv. Geophys., 10, 1-82, doi:10.1016/S0065-2687(08)60005-9.

3. Bjerknes, J. (1969), Atmospheric teleconnections from the equatorial Pacific, Mon. Wea. Rev., 97, 163-172, doi:10.1175/1520-0493(1969)097<0163:ATFTEP>2.3.CO;2.

4. Bodas-Salcedo, A., M.J. Webb, M.E. Brooks, M.A. Ringer, K.D. Williams, S.F. Milton, and D.R. Wilson (2008), Evaluating cloud systems in the Met Office global forecast model using simulated CloudSat radar reflectivities, J. Geophys. Res., 113, D00A13, doi:10.1029/2007JD009620.

5. Brinkop, S. and E. Roeckner (1995), Sensitivity of a general circulation model to parameterizations of cloud-turbulence interactions in the atmospheric boundary layer, Tellus A, 47, 197-220, doi:10.1034/j.1600-0870.1995.t01-1-00004.x.

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