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The Water-Bearing Numerical Model and Its Operational Forecasting Experiments Part I: The Water-Bearing Numerical Model


doi: 10.1007/s00376-998-0041-5

  • In first paper of articles, the physical and calculating schemes of the water-bearing numerical model are des-cribed. The model is developed by bearing all species of hydrometeors in a conventional numerical model in which the dynamic framework of hydrostatic equilibrium is taken. The main contributions are: the mixing ratios of all species of hydrometeors are added as the prognostic variables of model, the prognostic equations of these hydrometeors are in-troduced, the cloud physical framework is specially designed, some technical measures are used to resolve a series of physical, mathematical and computational problems arising from water-bearing; and so on. The various problems (in such aspects as the designs of physical and calculating schemes and the composition of computational programme) which are exposed in feasibility test, in sensibility test, and especially in operational fore?casting experiments are successfully resolved using a lot of technical measures having been developed from researches and tests. Finally, the operational forecasting running of the water-bearing numerical model and its forecasting system is realized stably and reliably, and the fine forecasts are obtained. All of these mentioned above will be described in second paper.
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    [2] 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
    [3] Feifei SHEN, Aiqing SHU, Zhiquan LIU, Hong LI, Lipeng JIANG, Tao ZHANG, Dongmei XU, 2024: Assimilating FY-4A AGRI Radiances with a Channel-Sensitive Cloud Detection Scheme for the Analysis and Forecasting of Multiple Typhoons, ADVANCES IN ATMOSPHERIC SCIENCES.  doi: 10.1007/s00376-023-3072-z
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    [7] Yaodeng CHEN, Ruizhi ZHANG, Deming MENG, Jinzhong MIN, Lina ZHANG, 2016: Variational Assimilation of Satellite Cloud Water/Ice Path and Microphysics Scheme Sensitivity to the Assimilation of a Rainfall Case, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 1158-1170.  doi: 10.1007/s00376-016-6004-3
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    [16] Xi WANG, Zheng GUO, Yipeng HUANG, Hongjie FAN, Wanbiao LI, 2017: A Cloud Detection Scheme for the Chinese Carbon Dioxide Observation Satellite (TANSAT), ADVANCES IN ATMOSPHERIC SCIENCES, 34, 16-25.  doi: 10.1007/s00376-016-6033-y
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Manuscript History

Manuscript received: 10 April 1998
Manuscript revised: 10 April 1998
通讯作者: 陈斌, bchen63@163.com
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The Water-Bearing Numerical Model and Its Operational Forecasting Experiments Part I: The Water-Bearing Numerical Model

  • 1. Beijing Institute of Applied Meteorology, Beijing 100029,Beijing Institute of Applied Meteorology, Beijing 100029

Abstract: In first paper of articles, the physical and calculating schemes of the water-bearing numerical model are des-cribed. The model is developed by bearing all species of hydrometeors in a conventional numerical model in which the dynamic framework of hydrostatic equilibrium is taken. The main contributions are: the mixing ratios of all species of hydrometeors are added as the prognostic variables of model, the prognostic equations of these hydrometeors are in-troduced, the cloud physical framework is specially designed, some technical measures are used to resolve a series of physical, mathematical and computational problems arising from water-bearing; and so on. The various problems (in such aspects as the designs of physical and calculating schemes and the composition of computational programme) which are exposed in feasibility test, in sensibility test, and especially in operational fore?casting experiments are successfully resolved using a lot of technical measures having been developed from researches and tests. Finally, the operational forecasting running of the water-bearing numerical model and its forecasting system is realized stably and reliably, and the fine forecasts are obtained. All of these mentioned above will be described in second paper.

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