2004
DOI: 10.1023/b:boun.0000020164.04146.98
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An Improved Mellor–Yamada Level-3 Model with Condensation Physics: Its Design and Verification

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Cited by 665 publications
(391 citation statements)
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“…z*-coordinate levels) was 50 in all experiments. Sub-grid turbulence was considered by an improved Mellor-Yamada level-3 scheme (Nakanishi and Niino, 2004) in the experiments at resolution ≥ 1 km (except for D-100), and a large eddy simulation scheme of Deardorff (1973) was adopted in D-100. The 6-category single moment bulk microphysics but double moments for only cloud ice (Ikawa and Saito 1991) was used for cloud microphysical processes.…”
Section: -Second-update 100-m-mesh Data Assimilation Experimentsmentioning
confidence: 99%
“…z*-coordinate levels) was 50 in all experiments. Sub-grid turbulence was considered by an improved Mellor-Yamada level-3 scheme (Nakanishi and Niino, 2004) in the experiments at resolution ≥ 1 km (except for D-100), and a large eddy simulation scheme of Deardorff (1973) was adopted in D-100. The 6-category single moment bulk microphysics but double moments for only cloud ice (Ikawa and Saito 1991) was used for cloud microphysical processes.…”
Section: -Second-update 100-m-mesh Data Assimilation Experimentsmentioning
confidence: 99%
“…The Kain-Fritsch convection scheme (Kain and Fritsch 1990;Kain 2004;Kato et al 2010) is included as a cumulus scheme. For a planetary boundary layer scheme, the Mellor-Yamada-NakanishiNiino Level 3 scheme (Nakanishi and Niino 2004) are employed. For radiation, a clear-sky radiation scheme (Yabu et al 2005) and a cloud radiation scheme (Kitagawa 2000) are used.…”
Section: Methodsmentioning
confidence: 99%
“…Variables in italics indicate that they were also swept in the CGCM runs a Chikira and Sugiyama (2010) b Wilson and Ballard (1999) c Takemura et al (2005Takemura et al ( , 2009 d Nakanishi and Niino (2004) e Takata et al (2003) and Watanabe et al (2010) f ''alb'' indicates a collection of 8 parameters corresponding to albedo for ice and snow over sea and land g Because the standard values are the maximum, we performed AGCM runs with two lower value sets…”
Section: Efficient Sampling Of the Influential Parameter Combinationsmentioning
confidence: 99%