模拟的对流细胞和系统生长偏差对大气不稳定性和模型分辨率的依赖性
Zhixiao Zhang1,2, Adam C Varble1,3, Zhe Feng3
1Department of Atmospheric Sciences University of Utah Salt Lake City UT USA.
概括
天气模拟通过产生太多的浅细胞来高估对流降雨,这阻碍了分层形式的降雨形成. 改善对流细胞预测需要的不仅仅是更高的模型分辨率.
科学领域:
- 大气科学 大气科学
- 气象学 天气学
- 天气预报天气预报
背景情况:
- 流动和层状降雨是降水系统的关键组成部分.
- 准确模拟对流电细胞特性对于理解降雨动态至关重要.
- 在RELAMPAGO-CACTI实地活动中,为评估天气模型提供了有价值的数据.
研究的目的:
- 在允许对流的天气模型模拟中评估对流细胞特性.
- 分析模拟的对流电池与降雨类型 (对流与分层) 之间的关系.
- 调查模型分辨率对对流动和层状降雨偏差的影响.
主要方法:
- 在阿根廷中部利用了一个长期的对流允许WRF模拟.
- 模拟输出与雷达,卫星和无线电探测器数据进行了比较,这些数据来自RELAMPAGO-CACTI运动.
- 分析了对流细胞的特性 (数量,深度,生长) 以及它们与降雨分区的联系.
主要成果:
- 该模型高估了对流雨量 (+43%) 和低估了分层雨量 (-46%).
- 确定了沉对流细胞 (2.6x观察到) 的显著过度生产,特别是浅细胞.
- 增加模型分辨率并没有大大减少细胞特性或降雨分区的偏差.
结论:
- 浅层对流细胞的严重过度生产导致了过于高效的降水和降低了分层雨量.
- 电流可用的潜在能量 (CAPE) 影响细胞偏差,但仅仅通过分辨率改进无法解决分区问题.
- 准确预测对流性质可能取决于横格距离之外的因素,例如微物理或参数化.
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