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Volume 12 Issue 1

Jan.  1995

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Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 1995 >  12(1): 67-78

A Global Spectral Model and Test of Its Performance

  • 1.

    InstituteofAtmosphericPhysics,ChineseAcademyofSciences,Beijing100080,InstituteofAtmosphericPhysics,ChineseAcademyofSciences,Beijing100080,InstituteofAtmosphericPhysics,ChineseAcademyofSciences,Beijing100080,InstituteofAtmosphericPhysics,ChineseAcademyofSciences,Beijing100080,InstituteofAtmosphericPhysics,ChineseAcademyofSciences,Beijing100080,InstituteofAtmosphericPhysics,ChineseAcademyofSciences,Beijing100080,InstituteofAtmosphericPhysics,ChineseAcademyofSciences,Beijing100080


doi: 10.1007/BF02661288

  • A brief introduction is given of a global spectral model, its dynamical framework and diabatic physical processes involved. A number of real forecasts are shown to illustrate the forecasting capability of the model for various weather processes. It can even manage to predict some of those typical weather processes in summer which used to be difficult to forecasters.
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    [2] Sheng Hua, William Bourke, Terry Hart, 1992: An Impact of Hydrostatic Extraction Scheme on BMRC’s Global Spectral Model, ADVANCES IN ATMOSPHERIC SCIENCES, 9, 269-278.  doi: 10.1007/BF02656937
    [3] ZHAO Bin, ZHONG Qing, 2010: The Development of a Nonhydrostatic Global Spectral Model, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 676-684.  doi: 10.1007/s00376-009-9080-9
    [4] Liao Dongxian, 1989: A Regional Spectral Nested Shallow Water Equation Model, ADVANCES IN ATMOSPHERIC SCIENCES, 6, 393-402.  doi: 10.1007/BF02659074
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    [7] Yifan ZHAO, Xindong PENG, Xiaohan LI, Siyuan CHEN, 2024: Improved Diurnal Cycle of Precipitation on Land in a Global Non-Hydrostatic Model Using a Revised NSAS Deep Convective Scheme, ADVANCES IN ATMOSPHERIC SCIENCES.  doi: 10.1007/s00376-023-3121-7
    [8] Kanghui ZHOU, Jisong SUN, Yongguang ZHENG, Yutao ZHANG, 2022: Quantitative Precipitation Forecast Experiment Based on Basic NWP Variables Using Deep Learning, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 1472-1486.  doi: 10.1007/s00376-021-1207-7
    [9] DAI Tie, SHI Guangyu, Teruyuki NAKAJIMA, 2015: Analysis and Evaluation of the Global Aerosol Optical Properties Simulated by an Online Aerosol-coupled Non-hydrostatic Icosahedral Atmospheric Model, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 743-758.  doi: 10.1007/s00376-014-4098-z
    [10] Huan MEI, Faming WANG, Zhong ZENG, Zhouhua QIU, Linmao YIN, Liang LI, 2016: A Global Spectral Element Model for Poisson Equations and Advective Flow over a Sphere, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 377-390.  doi: 10.1007/s00376-015-5001-2
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    [12] SUN Lan, XUE Yongkang, 2004: Validation of SSiB Model over Grassland with CHeRES Field Experiment Data in 2001, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 547-556.  doi: 10.1007/BF02915722
    [13] Liu Ruizhi, 1985: NUMERICAL EXPERIMENT OF SIX-LEVEL IMPLICIT PRIMITIVE MODEL, ADVANCES IN ATMOSPHERIC SCIENCES, 2, 178-188.  doi: 10.1007/BF03179750
    [14] Liu Hui, Jin Xiangze, Zhang Xuehong, Wu Guoxiong, 1996: A Coupling Experiment of an Atmosphere and an Ocean Model with a Monthly Anomaly Exchange Schem, ADVANCES IN ATMOSPHERIC SCIENCES, 13, 133-146.  doi: 10.1007/BF02656857
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    [16] Runhua YANG, Jing GUO, Lars Peter RIISH?JGAARD, 2006: Application of an Error Statistics Estimation Method to the PSAS Forecast Error Covariance Model, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 33-44.  doi: 10.1007/s00376-006-0004-7
    [17] WANG Xiaocong, LIU Yimin, WU Guoxiong, Shian-Jiann LIN, BAO Qing, 2013: The Application of Flux-Form Semi-Lagrangian Transport Scheme in a Spectral Atmosphere Model, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 89-100.  doi: 10.1007/s00376-012-2039-2
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    • Manuscript History

    Manuscript received: 10 January 1995
    Manuscript revised: 10 January 1995
    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

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    A Global Spectral Model and Test of Its Performance

    • 1. InstituteofAtmosphericPhysics,ChineseAcademyofSciences,Beijing100080,InstituteofAtmosphericPhysics,ChineseAcademyofSciences,Beijing100080,InstituteofAtmosphericPhysics,ChineseAcademyofSciences,Beijing100080,InstituteofAtmosphericPhysics,ChineseAcademyofSciences,Beijing100080,InstituteofAtmosphericPhysics,ChineseAcademyofSciences,Beijing100080,InstituteofAtmosphericPhysics,ChineseAcademyofSciences,Beijing100080,InstituteofAtmosphericPhysics,ChineseAcademyofSciences,Beijing100080
    • Manuscript received: 1995-01-10
    • Manuscript revised: 1995-01-10

    Abstract: A brief introduction is given of a global spectral model, its dynamical framework and diabatic physical processes involved. A number of real forecasts are shown to illustrate the forecasting capability of the model for various weather processes. It can even manage to predict some of those typical weather processes in summer which used to be difficult to forecasters.

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