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首页> 外文期刊>Theoretical and applied climatology >Numerical simulation of the diurnal cycle of rainfall in SW Amazon basin during the 1999 rainy season: the role of convective trigger function
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Numerical simulation of the diurnal cycle of rainfall in SW Amazon basin during the 1999 rainy season: the role of convective trigger function

机译：1999年雨季西南亚马逊河流域降雨日变化周期的数值模拟：对流触发函数的作用

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摘要

In continental areas, the maximum rainfall simulated with the Brazilian developments on the Regional Atmospheric Modeling System (BRAMS) occurs around 4 h earlier than the one observed with rain gauges. This work presents the successful implementation of a new convective trigger function (CTF) in the convective parameterization scheme used in BRAMS that corrects this misfit between model and observations. The importance of the CTF formulation on the diurnal cycle of rainfall over the Amazon Basin is reflected by the following numbers: Over Rondonia (SW Amazonia), the original version of BRAMS simulates the maximum rainfall at 1400 UTC (1000 LST), with the new CTF maximum shifting to 1800 UTC (1400 LST), while the S-band radar rainfall maximum is at 1900 UTC (1500 LST). This is attributed to two factors: (1) the new CTF is now coupled to the sensible and latent heat fluxes at surface; (2) during the early morning, the convective available potential energy is reduced.
机译：在大陆地区，巴西开发的区域大气模拟系统（BRAMS）所模拟的最大降雨量比雨量计观测到的早了约4小时。这项工作介绍了在BRAMS中使用的对流参数化方案中新对流触发函数（CTF）的成功实现，该方案纠正了模型与观测值之间的这种不匹配。以下数字反映了CTF公式对亚马逊河流域降水的昼夜周期的重要性：在Rondonia（西南亚亚马逊）上，BRAMS的原始版本模拟了1400 UTC（1000 LST）下的最大降雨量，而新的CTF最大值移至1800 UTC（1400 LST），而S波段雷达的最大降雨量为1900 UTC（1500 LST）。这归因于两个因素：（1）新的CTF现在耦合到表面的感热通量和潜热通量； （2）在清晨，对流可用势能降低。

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  • 来源
    《Theoretical and applied climatology》 |2012年第4期|p.473-483|共11页
  • 作者

    Claudio Moises Santos e Silva; Saulo Ribeiro de Freitas; Ralf Gielow;

  • 作者单位

    Departamento de Fisica Teorica e Experimental (DFTE), Universidade Federal do Rio Grande do Norte (UFRN), Campus Universitario, s, CEP: 59072-970 Natal, Rio Grande do Norte, RN, Brazil;

    Centre de Previsao de Tempo e Estudos Climaticos (CPTEC), Institute Nacional de Pesquisas Espaciais (INPE), Sao Jose dos Campos, Sao Paulo, Brazil;

    Centre de Previsao de Tempo e Estudos Climaticos (CPTEC), Institute Nacional de Pesquisas Espaciais (INPE), Sao Jose dos Campos, Sao Paulo, Brazil;

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