Comparison of Four Cloud Schemes in Simulating the Seasonal Mean Field Forced by the Observed Sea Surface Temperature | Zendy

Akihiko Shimpo | Zendy; Masao Kanamitsu | Zendy; Sam F. Iacobellis | Zendy; SongYou Hong | Zendy

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Comparison of Four Cloud Schemes in Simulating the Seasonal Mean Field Forced by the Observed Sea Surface Temperature

Author(s) -

Akihiko Shimpo,

Masao Kanamitsu,

Sam F. Iacobellis,

SongYou Hong

Publication year - 2008

Publication title -

monthly weather review

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.862

H-Index - 179

eISSN - 1520-0493

pISSN - 0027-0644

DOI - 10.1175/2007mwr2179.1

Subject(s) - cloud cover , environmental science , international satellite cloud climatology project , precipitation , relative humidity , liquid water content , cloud computing , meteorology , cloud height , atmospheric sciences , climatology , climate model , cloud fraction , climate change , geology , geography , computer science , oceanography , operating system

The impacts of four stratiform cloud parameterizations on seasonal mean fields are investigated using the global version of the Experimental Climate Prediction Center (ECPC) global to regional forecast system (G-RSM). The simulated fields are compared,with observation and reanalysis, including the International Satellite Cloud Climatology Project (ISCCP) data for clouds, the Global Precipitation Climatology Project (GPCP) data for precipitation, the Earth Radiation Budget Experiment (ERBE) and the Surface Radiation Budget Project (SRB) data for radiation and the NCEP / Department of Energy (DOE) Reanalysis-2 (R- 2) for temperature. Compared to observation, no stratiform cloud parameterizationperformed better than others in all respects in simulating clouds, temperature, precipitation and radiation fluxes. This result may be caused by the fact that no fine tuning was performed to improve simulation for each stratiform cloud parameterization, together with the fact that the simulation is very sensitive

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