首页> 外文期刊>Journal of the Atmospheric Sciences >Diagnosing monthly mean boundary layer properties from reanalysis data using a bulk boundary layer model
【24h】

Diagnosing monthly mean boundary layer properties from reanalysis data using a bulk boundary layer model

机译:使用体边界层模型从重新分析数据诊断月平均边界层属性

获取原文
获取原文并翻译 | 示例
           

摘要

The mixed-layer approach to modeling the planetary boundary layer (PBL) is particularly well suited to inversion-topped PBLs, such as the stratocumulus-topped boundary layer found off the west coast of America in the subtropical Pacific Ocean at northern and southern latitudes. However, a strong temperature inversion near 850 hPa (the trade wind inversion) is not confined to the stratocumulus regimes, but has been observed over most parts of the subtropical-tropical Pacific Ocean. In this paper, the authors test the ability of a simple bulk boundary layer model (BBLM) to diagnose entrainment velocity, cumulus mass flux, and surface latent heat flux from monthly mean reanalysis data. The PBL depth is estimated from Geoscience Laser Altimeter System data. The model is based on the conservation equations for mass, total water mixing ratio, and moist static energy.
机译:行星边界层(PBL)建模的混合层方法特别适合于反演顶部的PBL,例如北美洲和南纬的亚热带太平洋在美国西海岸发现的层积丘顶边界层。但是,在850 hPa附近发生强烈的温度反转(逆风反转)并不局限于平积层,而是在亚热带热带太平洋的大部分地区都观察到了。在本文中,作者测试了一个简单的体边界层模型(BBLM)从每月平均再分析数据诊断夹带速度,积质量通量和表面潜热通量的能力。 PBL深度是根据Geoscience激光测高仪系统数据估算的。该模型基于质量,总水混合比和湿静态能量的守恒方程。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号