Please wait a minute...
img img
高级检索
地球科学进展  2007, Vol. 22 Issue (11): 1185-1190    DOI: 10.11867/j.issn.1001-8166.2007.11.1185
干旱气候变化与可持续发展     
可变分辨率展宽网格在区域物理参数化大气模式中的应用
钱建华
哥伦比亚大学气候与社会国际研究所,美国 纽约,10964
Application of a Variable-Resolution Stretched Grid to a Regional Atmospheric Model with Physics Parameterization
QIAN Jian-hua
International Research Institute for Climate and Society, Columbia University, New York 10964,USA
 全文: PDF(395 KB)  
摘要:

将有限区域展宽网格方法应用于区域物理参数化大气模式中,来检验其模拟湿物理过程的能力。展宽网格模型旨在在一个大的有限空间区域中得到我们所关注的小区域的高分辨率。运用展宽网格模型对南美地区进行模拟的结果表明:当拥有充足的物理参数集时,模型模拟效果良好;并且,如果改进计算机功率,便可得到与始终保持高分辨率模拟具有可比性的输出结果。

关键词: 展宽网格方法区域大气模式物理参数南美地区    
Abstract:

A limited-area stretched-grid method is tested in a regional atmospheric model with physics parameterization to examine its capability to simulate moist physical processes. The stretched-grid model is aimed at achieving high resolution in a small area of interest while covering a large limited-area spatial domain. The simulation of the stretched-grid model over South America shows that it works well when including a full set of physics parameterization and is able to produce comparable results to those in the uniform high-resolution simulation but with improved computational efficiency.

Key words: Stretched-grid method    Physics parameterization    South America.    Regional atmospheric model
收稿日期: 2007-09-20 出版日期: 2007-11-10
:  P435  
通讯作者: QIAN Jian-hua, International Research Institute for Climate and Society (IRI), The Earth Institute at Columbia University, Lamont Campus.E-mail: jqian@iri.columbia.edu     E-mail: jqian@iri.columbia.edu
作者简介: QIAN Jian-hua, International Research Institute for Climate and Society (IRI), The Earth Institute at Columbia University, Lamont Campus, 61 Route 9W, Palisades, NY 10964, USA.E-mail: jqian@iri.columbia.edu
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
钱建华

引用本文:

钱建华. 可变分辨率展宽网格在区域物理参数化大气模式中的应用[J]. 地球科学进展, 2007, 22(11): 1185-1190.

QIAN Jian-hua. Application of a Variable-Resolution Stretched Grid to a Regional Atmospheric Model with Physics Parameterization. Advances in Earth Science, 2007, 22(11): 1185-1190.

链接本文:

http://www.adearth.ac.cn/CN/10.11867/j.issn.1001-8166.2007.11.1185        http://www.adearth.ac.cn/CN/Y2007/V22/I11/1185

[1]Qian J H, Giorgi F, Fox-Rabinovitz M S. Regional stretched grid generation and its application to the NCAR RegCM[J].Journal of Geophysical Research,1999,104:6 501-6 513.
[2]Giorgi  F,  Marinucci  M R,  Bates  G T.  Development  of  a  second  generation  regional climate  model  (RegCM).  Part  II:  convective  processes  and  assimilation  of  lateral boundary conditions[J].Monthly Weather Review,1993,121:2 814-2 832.
[3]Pal J S, Giorgi F, Bi X, et al. Regional Climate Modeling for the Developing World:  The ICTP RegCM3 and RegCNET[J].Bulletin of the American Meteorological Society,2007,88:1 395-1 409.
[4]Qian J H, Tao W K, Lau K M. Mechanisms for torrential rain associated with theMei-yu development during SCSMEX 1998 [J].Monthly Weather Review,2004,132:3-27.
[5]Kalnay  E, et al. The  NCEP/NCAR  40-year  reanalysis  project [J].Bulletin of the American Meteralogical Society,1996,77: 437-472.
[6]Qian J H, Seth A, Zebiak S E. Reinitialized versus continuous simulations for regional climate downscaling[J]. Monthly Weather Review, 2003, 131: 2 857-2 874.
[7]Betts A K, Miller M J. A new convective adjustment  scheme.  Part II: Single column tests  using  GATE-wave,  BOMEX,  ATEX  and  Arctic  Airmass  data  sets[J].Quartterly Journal of Royal Meteorological Society,1986,112: 693-709.
[8]Adler R F,  Huffman  G J,  Bolvin D T,et al.Tropical rainfall  distributions determined  using  TRMM  combined  with  other  satellite  and  rain  gauge  information[J].Journal of Applied Meteorology,2000,39:2 007-2 023.
[9]Cote J, Gravel S. Methot A, coauthors. The optional CMC-MRB global environmental multiscale (GEM) model[J].Monthly Weather Review,1998, 126:1 373-1 395.
[10]Qian J H,Kasahara  A.Nonhydrostatic  atmospheric  normal  modes  on  beta-planes[J].Pure Applied Geophysics,2003,160:1 315-1 358.

[1] 马雷鸣, 鲍旭炜. 数值天气预报模式物理过程参数化方案的研究进展[J]. 地球科学进展, 2017, 32(7): 679-687.
[2] 栾贻花, 俞永强, 郑伟鹏. 全球高分辨率气候系统模式研究进展[J]. 地球科学进展, 2016, 31(3): 258-268.
[3] 尹金方, 王东海, 翟国庆. 区域中尺度模式云微物理参数化方案特征及其在中国的适用性[J]. 地球科学进展, 2014, 29(2): 238-249.