Attempts to improve distribution of boundary layer clouds in AFES Akira Kuwano-Yoshida, Takeshi Enomoto and Wataru Ohfuchi Earth Simulator Center, JAMSTEC,

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Presentation transcript:

Attempts to improve distribution of boundary layer clouds in AFES Akira Kuwano-Yoshida, Takeshi Enomoto and Wataru Ohfuchi Earth Simulator Center, JAMSTEC, GCSS-GPCI/BLCI-RICO workshop, NASA/GISS, New York, USA, September 2006

Outline 1.Introduction of AFES2 2.Problems of clouds in AFES2 3.Improvements 4.Results 5.Summary

AFES2 AGCM for Earth Simulator version 2 (Enomoto et al. 2006) Spectral, Eulerian and primitive-equation AGCM based on CCSR/NIES AGCM Vertical coordinates: Sigma = P/Ps Convection: Emanuel (1991) scheme Grid condensation: Le Treut and Li (1991) & Smith (1990) Cumulus cloud fraction: Teixeira and Hogan (2002) (but 2D fraction, not 3D) Vertical diffusion: Mellor-Yamada level 2

Final object of our group is to try seasonal prediction experiments using a high resolution coupled AOGCM (CFES, Atmos. : T239 and Ocean: 0.25 degree, Komori et al. 2006). But, there are some many biases in AFES2, especially for clouds, and lead to ocean biases when coupled simulation. Motivation

Advertisement A book including AFES2 and CFES descriptions and biases will be published soon from St. Broadway. You can

Advertisement Wataru, who is a tally of the editors and our group leader, is writing its introduction.

This study To test a new grid scale condensation using GPCI setting.

AFES original grid scale condensation Statistical method by Uniform (Top Hat) PDF (Le Treut and Li 1991). A PDF’s standard deviation is proportional to Blackadar (1962) mixing length. This is same as the IPCC model.

Low cloud fraction : JJA 1998 ISCCP AFES2 T79L72 Too much clouds around Antarctic and over Arctic Less over Southeastern Pacific and southern Indian Ocean

New scheme Yamada and Mellor (1979) scheme with gaussian PDF. Standard deviation of PDF is diagnosed by Mellor-Yamada Level 2 scheme. Non-local mixing length (Sun and Chang 1986) is used within boundary layer.

Model Setting Resolution: –T79L72 (about 1.5 degree, 26 layers within 0.7 – 1 sigma) –T79L96 (50 layers within sigma) –T239L96 (about 0.5 degree) Initial condition: –JRA25 data (1.25 degree) provided by JMA SST: – NOAA OISST (1 degree weekly)

Comparison in GPCI region 4 cases are compared at JJA –T79L72OLD –T79L72NEW –T79L96NEW –T239L96NEW

OLD versus NEW Clouds around Antarctic become better. But, clouds are less over southern Pacific and Atlantic.. T79L72OLDT79L72NEW

Why? Standard deviation estimated by turbulent scheme is too small, because vertical resolution is coarser than 100 m. So, we tried 96 layers, which has 50 layers within 0.7 – 1 sigma which is 2 times more than in 72 layers.

L72 NEWL96 NEW ISCCPL72 OLD

Impact of Horizontal Resolution

T79L96NEWT239L96NEW ISCCP Cloud locations become better

PRECIPITATION T72L96NEWT239L96NEW GPCP

Detailed topography makes more real wind field. U10, V10, mag(U10, V10), Topography T79L96NEWT239L96NEW

Cross sections

Cloud fraction become better, but cloud water is less than observation. So, effect on surface shortwave radiation is small.

Other problems T239L96NEWISCCP HIGH CLOUD MIDDLE CLOUD

JJA average

Summary New grid condensation scheme needs higher vertical resolution < 100 m, not only for estimating standard deviation of PDF but also vertical mixing making better boundary layer structure. Higher horizontal resolution with detailed topography makes more realistic 3D wind fields and results in improvements of clouds and precipitation locations. Biases of much high cloud and less middle cloud still remain.