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Volume 1 Issue 1

Jan.  1984

Article Contents

SIMPLIFIED DYNAMICAL ANOMALY MODEL FOR LONG-RANGE NUMERICAL FORECASTS


doi: 10.1007/BF03187614

  • In this atmosphere-ocean-land coupled model, two basic ideas are developed, One is that the observational climate field is utilized and only the anomalous components are predicted. The other is that the transient Rossby wave is treated as the meteorological noise on the long-term variation that must be predicted in a climate forecasting. According to the latter, the transient Rossby wave can be filtered by omitting the partial derivative with respect to time in the atmospheric vorticity equation. But the time derivative term is still kept in the thermal equation for underlying ocean and land. With this assumption, the vorticity equation becomes time-independent, i.e. it is only a balance relationship between the anomaly geopotential height field and earth's surface heating field. This model is different from the usual GCM, so it may be called as the filtered anomaly model (FAM).A dozen examples of one month prediction are summarized in this report.
  • [1] Wang Shaowu, 1984: THE RHYTHM IN THE ATMOSPHERE AND OCEANS IN APPLICATION TO LONG-RANGE WEATHER FORECASTING, ADVANCES IN ATMOSPHERIC SCIENCES, 1, 7-29.  doi: 10.1007/BF03187612
    [2] Shao Demin, Zhang Wei, Shen Aihua, Cheng Xueqing, Fu Zhemin, He Zhenzhen, 1992: An Analysis of the Air Parcel Trajectories of Long-Range Transport at Shanghai, ADVANCES IN ATMOSPHERIC SCIENCES, 9, 346-350.  doi: 10.1007/BF02656944
    [3] Chao Jiping, WangXiaoxi, Chen Yingyi, Wang Lizhi, 1986: MONTHLY AND SEASONAL NUMERICAL FORECASTS BY USING THE ANOMALY OCEAN-ATMOSPHERE COUPLED FILTERED MODEL, ADVANCES IN ATMOSPHERIC SCIENCES, 3, 139-149.  doi: 10.1007/BF02682548
    [4] LI Qian, SUN Shufen, DAI Qiudan, 2009: The Numerical Scheme Development of a Simplified Frozen Soil Model, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 940-950.  doi: 10.1007/s00376-009-7174-z
    [5] Zhenxi ZHANG, Wen ZHOU, Mark WENIG, Liangui YANG, 2017: Impact of Long-range Desert Dust Transport on Hydrometeor Formation over Coastal East Asia, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 101-115.  doi: 10.1007/s00376-016-6157-0
    [6] Shi Neng, Chen Jiyi, 1986: QUADRATIC DISCRIMINATION THROUGH ORTHOGONAL TRANSFORMATION AND ITS APPLICATION TO LONG-RANGE FORECASTING OF DROUGHT AND EXCESSIVE RAINFALL, ADVANCES IN ATMOSPHERIC SCIENCES, 3, 125-133.  doi: 10.1007/BF02680051
    [7] Ji Jinjun, 1986: A SIMPLIFIED MODEL STUDY ON THE SHORT-TERM CLIMATIC EFFECT OF SNOWFALL ANOMALY IN MID-HIGH LATITUDES, ADVANCES IN ATMOSPHERIC SCIENCES, 3, 443-453.  doi: 10.1007/BF02657934
    [8] Zhao Shengju, Zhou Chaodong, 1986: MODELS FOR MEDIUM- AND LONG-RANGE FORECAST-ING OF THE AMOUNT OF MIGRATION OF FIRST-GENERATION MOTHS INTO THE OUTBREAKING AREA OF THE SECOND- GENERATION ARMYWORM, ADVANCES IN ATMOSPHERIC SCIENCES, 3, 379-384.  doi: 10.1007/BF02678658
    [9] A.C.Yih, J. E. Walsh, 1991: Sensitivities of Numerical Model Forecasts of Extreme Cyclone Events, ADVANCES IN ATMOSPHERIC SCIENCES, 8, 51-66.  doi: 10.1007/BF02657364
    [10] DAI Qiudan, SUN Shufen, 2007: A Simplified Scheme of the Generalized Layered Radiative Transfer Model, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 213-226.  doi: 10.1007/s00376-007-0213-8
    [11] Jiangshan ZHU, Fanyou KONG, Xiao-Ming HU, Yan GUO, Lingkun RAN, Hengchi LEI, 2018: Impact of Soil Moisture Uncertainty on Summertime Short-range Ensemble Forecasts, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 839-852.  doi: 10.1007/s00376-017-7107-1
    [12] Chen Jiabin, A.J. Simmons, 1990: Sensitivity of Medium-Range Weather Forecasts to the Use of Reference Atmosphere, ADVANCES IN ATMOSPHERIC SCIENCES, 7, 275-293.  doi: 10.1007/BF03179761
    [13] Sun Shufen, Xue Yongkang, 2001: Implementing a New Snow Scheme in Simplified Simple Biosphere Model, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 335-354.  doi: 10.1007/BF02919314
    [14] Wang Weiguo, Xie Yingqi, Qiu Jinhuan, Liu Qing, 1998: The Regional Dynamical Model of the Atmospheric Ozonosphere, ADVANCES IN ATMOSPHERIC SCIENCES, 15, 74-82.  doi: 10.1007/s00376-998-0019-3
    [15] Yang Fanglin, Yuan Chongguang, 1993: Numerical Simulation of Regional Short-Range Climate Anomalies, ADVANCES IN ATMOSPHERIC SCIENCES, 10, 335-344.  doi: 10.1007/BF02658139
    [16] Xiaohao QIN, Wansuo DUAN, Hui XU, 2020: Sensitivity to Tendency Perturbations of Tropical Cyclone Short-range Intensity Forecasts Generated by WRF, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 291-306.  doi: 10.1007/s00376-019-9187-6
    [17] Ye Weizuo, 1990: A Coupled Dynamical-Radiational Model of Stratocumulus, ADVANCES IN ATMOSPHERIC SCIENCES, 7, 197-210.  doi: 10.1007/BF02919158
    [18] Ye Weizuo, 1990: Application of the Coupled Dynamical-Radiational Model of Stratocumulus, ADVANCES IN ATMOSPHERIC SCIENCES, 7, 331-346.  doi: 10.1007/BF03179765
    [19] Zhang Ren, Yu Zhihao, 2000: Numerical and Dynamical Analyses of Heat Source Forcing and Restricting Subtropical High Activity, ADVANCES IN ATMOSPHERIC SCIENCES, 17, 61-71.  doi: 10.1007/s00376-000-0043-4
    [20] Si Gongwang, Donald R. Johnson, 1985: A NUMERICAL EXPERIMENTAL STUDY OF SOME DYNAMICAL EFFECTS ON SOUTHERN ASIATIC HIGH, ADVANCES IN ATMOSPHERIC SCIENCES, 2, 133-146.  doi: 10.1007/BF03179746

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Manuscript History

Manuscript received: 10 January 1984
Manuscript revised: 10 January 1984
通讯作者: 陈斌, bchen63@163.com
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SIMPLIFIED DYNAMICAL ANOMALY MODEL FOR LONG-RANGE NUMERICAL FORECASTS

  • 1. InstituteofAtmosphericPhysics,AcaderaiaSinica,Beijing,InstituteofAtmosphericPhysics,AcaderaiaSinica,Beijing

Abstract: In this atmosphere-ocean-land coupled model, two basic ideas are developed, One is that the observational climate field is utilized and only the anomalous components are predicted. The other is that the transient Rossby wave is treated as the meteorological noise on the long-term variation that must be predicted in a climate forecasting. According to the latter, the transient Rossby wave can be filtered by omitting the partial derivative with respect to time in the atmospheric vorticity equation. But the time derivative term is still kept in the thermal equation for underlying ocean and land. With this assumption, the vorticity equation becomes time-independent, i.e. it is only a balance relationship between the anomaly geopotential height field and earth's surface heating field. This model is different from the usual GCM, so it may be called as the filtered anomaly model (FAM).A dozen examples of one month prediction are summarized in this report.

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