| 对流参数化与微物理过程的耦合及其对台风预报的影响研究 |
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| 引用本文： | 徐道生,陈子通,钟水新,戴光丰.对流参数化与微物理过程的耦合及其对台风预报的影响研究[J].Acta Meteorologica Sinica,2014,72(2):337-349. |
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| 作者姓名： | 徐道生 陈子通 钟水新 戴光丰 |
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| 作者单位： | 中国气象局广州热带海洋气象研究所区域数值天气预报重点实验室, 广州, 510080;中国气象局广州热带海洋气象研究所区域数值天气预报重点实验室, 广州, 510080;中国气象局广州热带海洋气象研究所区域数值天气预报重点实验室, 广州, 510080;中国气象局广州热带海洋气象研究所区域数值天气预报重点实验室, 广州, 510080 |
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| 基金项目： | 公益性行业（气象）科研专项（GYHY201206010）“热带环流系统的数值天气预报技术研究”、广东省科技计划项目（2011A032100006）“广东省突发灾害性天气应急技术研究中心”和广东省科技计划项目（2012A061400012）。 |
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| 摘 要： | 在SAS（Relaxed Arakawa-schubert Scheme）对流参数化方案中引入对流云和层状云的相互耦合机制，并通过一个台风个例对改进前后两种方案的预报效果进行了比较。试验结果表明：对于台风这种对流云和层状云相互作用非常强烈的天气系统，在对流参数化方案中引入对流云和层状云的耦合机制可以有效地提高模式对台风路径的预报水平，但是对于台风强度的预报效果不明显。考虑对流参数化和微物理过程耦合后模式的参数化降水变弱而格点降水增强，与NCEP再分析资料的对比发现，改进方案对于台风外围的大尺度温度场和湿度场的预报会有所改进，但仍然存在偏干偏冷的现象。对雨和雪的不同处理方式、不同云底条件以及是否考虑雨雪的卷入抬升三个方面进行了敏感性试验，发现72 h内模式预报结果对这些因素的差异不是很敏感。从多个个例的统计结果来看，新方案对台风路径预报的改进效果是比较稳定的。
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| 关 键 词： | 对流参数化 微物理过程 耦合 台风 |
| 收稿时间： | 2013/3/21 0:00:00 |
| 修稿时间： | 2013/11/21 0:00:00 |
Study of the coupling of cumulus convection parameterization with cloud microphysics and its influence on forecast of typhoon |
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| XU Daosheng,CHEN Zitong,ZHONG Shuixin and DAI Guangfeng.Study of the coupling of cumulus convection parameterization with cloud microphysics and its influence on forecast of typhoon[J].Acta Meteorologica Sinica,2014,72(2):337-349. |
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| Authors: | XU Daosheng CHEN Zitong ZHONG Shuixin and DAI Guangfeng |
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| Institution: | Key Laboratory of Regional Numerical Weather Prediction, Guangzhou Institute of Tropical and Marine Meteorology, CMA, Guangzhou 510080, China;Key Laboratory of Regional Numerical Weather Prediction, Guangzhou Institute of Tropical and Marine Meteorology, CMA, Guangzhou 510080, China;Key Laboratory of Regional Numerical Weather Prediction, Guangzhou Institute of Tropical and Marine Meteorology, CMA, Guangzhou 510080, China;Key Laboratory of Regional Numerical Weather Prediction, Guangzhou Institute of Tropical and Marine Meteorology, CMA, Guangzhou 510080, China |
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| Abstract: | The two-way interactions between cloud microphysics and cumulus convection are introduced into the Relaxed Arakawa-schubert Scheme (SAS) convection scheme, the improved scheme is tested with a typhoon case and, the forecasts are compared with those of the original SAS scheme. The results show that the track forecast is improved obviously after the inclusion of interactions between convection and large-scale environments while the influence on intensity forecast is not so evident. The grid-scale explicit precipitation gets much stronger and the sub-grid scale precipitation is reduced after coupling convection with cloud microphysics, with the impact on large-scale temperature and humidity also revealed based on the NCEP reanalysis data. A series of experiments are implemented to test the sensitivity of the different treatments of the convective snow, the different cloud-base conditions and the entrainment of snow and rain with the result that 72 h forecast is not sensitive to these factors. The improvement of the revised scheme on typhoon track forecast is reliable as shown by the statistical results from many cases. |
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| Keywords: | Convection parameterization Microphysical process Coupling Typhoon |
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