欢迎访问中国科学院大学学报,今天是
综述

短期气候模式中积云参数化方案的选取及其效能的检验

  • 平凡 ,
  • 高守亭
展开
  • 中国科学院大气物理研究所, 北京 100029

收稿日期: 2003-06-24

  修回日期: 2003-08-12

  网络出版日期: 2004-05-10

基金资助

国家自然科学基金重点项目 (40035010);中国科学院海外杰出学者基金项目 (200212)资助

Study on the Chosen Parameterized Schemes of Cumulus Convection and the Test of their Simulated Effects in the Short-Term Climate

  • PING Fan ,
  • GAO ShouTing
Expand
  • Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China

Received date: 2003-06-24

  Revised date: 2003-08-12

  Online published: 2004-05-10

摘要

利用中国国家气候中心的全球T63谱模式,以中国典型的旱涝年夏季(6-8月)降水为检验的个例,分别采取原来模式中的Kuo型积云参数化方案和UKMOUnified的Gregory积云参数化方案,进行了整个夏季的逐月降水预报的对比试验。结果表明,Gregory质量通量方案能给出较Kuo型方案更加合理的降水落区,并且对降水量的预报也有显著的改进。从整个夏季的预报来看,Gregory参数化方案较Kuo型方案能更好地模拟出中国区域降水的总体趋势。但是与实况相比,仍存在着一定的误差,需要进一步改进。

本文引用格式

平凡 , 高守亭 . 短期气候模式中积云参数化方案的选取及其效能的检验[J]. 中国科学院大学学报, 2004 , 21(3) : 366 -373 . DOI: 10.7523/j.issn.2095-6134.2004.3.013

Abstract

The NCC T63L20 model of the National Climate Center, China Meteorological Administration is employed to simulate the summer (June-August) flood during the characteristic years. This model utilizes Kuo type parameterized scheme and Gregory parameterized scheme respectively. The simulations show that the Gregory parameterized scheme, which is still used in the United Kingdom Meteorological Office routine model, simulates more reasonable rainfall area amount and distribution compared to the Kuo type scheme. Moreover, the Gregory scheme better simulates the rainfall amount than the Kuo type scheme. On the whole, the Gregory scheme provides a good simulation of the main features of the seasonal precipitation and general circulation in China, although the simulated result still exhibits some departures from the observations and the scheme needs to be improved further.

参考文献

[1] Mintz Y, Arakawa A. Northern ecosystem initiative climate change bibliography. Technical Report about Moscow Related Studies, 1965, 3:60-66

[2] Manabe S. Simulated climatology of a general circulation model with a hydrologic cycle. Mon. Wea. Rev., 1965, 93: 769-798

[3] Ooyama K. A dynamical model for the study of tropical cyclone development. Geofis. Intern.,1964, 4:187-198

[4] Kuo HL. On formation and intensification of tropical cyclones through latent heat release by cumulus convection. J. Atmos. Sci.,1965, 22:40-63

[5] Kuo HL. Further studies of the parameterization of the influence of cumulus convection on large-scale flow. J. Atmos. Sci., 1974,31: 1232-1240

[6] Arakawa A, W H Schubert. Interactionof a cumulus cloud ensemble with the large-scale environment. Part I. J. Atmos. Sci., 1974,31: 674-701

[7] Gregory D,P R R Rowntree.A mass flux convection scheme with representation of cloud ensemble characteristics and stability dependent closure.Mon. Wea. Rev., 1990, 118: 1483-1506

[8] Gregory D, MJ Miller.A numerical studyof the parameterizationof deep tropical convection. Quart. J. Roy. Meteor. Soc., 1989, 115:1209-1241

[9] Albrecht B A, V Ramanathan, B A Boville. The effects of cumulus moisture transports on the simulation of climate with a general circulation model. J. Atmos. Sci., 1986, 43: 2443-2462

[10] Bougeault Ph. A simple parameterization of the large-scale effects of cumulus convection. Mon. Wea. Rev.,1985, 113: 2108-2121

[11] Tiedtke M. A comprehensive mass flux scheme for cumulus parameterization in large-scale models. Mon. Wea. Rev., 1989,117: 1779-1800

文章导航

/