Numerical Modelings of the Climatic Effects of the Land-Sea Distribution and Topography

Qian Yongfu; Wang Qianqian

doi:10.1007/BF02656855

Impact Factor: 5.8

Volume 13 Issue 3

Jul. 1996

Article Contents

Article > ADVANCES IN ATMOSPHERIC SCIENCES > 1996 > 13(3): 383-398

Numerical Modelings of the Climatic Effects of the Land-Sea Distribution and Topography

1.
Department of Atmospheric Sciences, Nanjing University, Nanjing 210093,Nanjing Institute of Meteorology, Nanjing 210044

doi: 10.1007/BF02656855

Abstract
References
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Abstract:
The effects of the land-sea contrast and the topography on the climatic properties are simulated in this paper by use of a p- σ incorporated coordinate system model in a zonal domain. In this paper we firstly discuss the statistical features of the model and find that the capability of the model is stable, with the same land-sea distribution and to-pography seven monthly mean climate states are close to one another, their variance is even less than the initial one. Secondly, we focally discuss the effects of the land-sea contrast and the topography on the modeled climate fields, It is pointed out that the land-sea contrast and the topography influence the atmosphere mainly through the heating ef-fect and the former has larger influences on the simulated large scale climate fields than the latter.
- Climate modelings,
- Land-sea contrast and topography
References

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Manuscript History

Manuscript received: 10 July 1996

Manuscript revised: 10 July 1996

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Numerical Modelings of the Climatic Effects of the Land-Sea Distribution and Topography

1. Department of Atmospheric Sciences, Nanjing University, Nanjing 210093,Nanjing Institute of Meteorology, Nanjing 210044

Manuscript received: 1996-07-10
Manuscript revised: 1996-07-10

Abstract: The effects of the land-sea contrast and the topography on the climatic properties are simulated in this paper by use of a p- σ incorporated coordinate system model in a zonal domain. In this paper we firstly discuss the statistical features of the model and find that the capability of the model is stable, with the same land-sea distribution and to-pography seven monthly mean climate states are close to one another, their variance is even less than the initial one. Secondly, we focally discuss the effects of the land-sea contrast and the topography on the modeled climate fields, It is pointed out that the land-sea contrast and the topography influence the atmosphere mainly through the heating ef-fect and the former has larger influences on the simulated large scale climate fields than the latter.

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