Updates in the NCEP GFS PBL and Convection Models with Environmental Wind Shear Effect and Modified Entrainment and Detrainment Rates and their Impacts on the GFS Hurricane and CAPE Forecasts

Jongil Han, Jiayi Peng, Wei Li, Weiguo Wang, Zhan Zhang, Fanglin Yang, Weizhong Zheng
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Abstract

To reduce hurricane intensity bias, the NCEP Global Forecast System (GFS) planetary boundary layer (PBL) and convection schemes have been updated with a new parameterization for environmental wind shear and enhanced entrainment and detrainment rates with increasing PBL or sub-cloud mean turbulent kinetic energy (TKE) in their updraft and downdraft mass-flux schemes. Tests with the GFS show that the updated schemes significantly reduce the hurricane intensity bias by reducing the momentum transport in the mass-flux schemes. Along with the reduced intensity bias, the hurricane intensity and track errors have also been reduced. On the other hand, to reduce the PBL overgrowth over areas with a higher vegetation fraction or larger surface roughness, the entrainment rate in the PBL mass-flux scheme has also been increased with increasing vegetation fraction or increasing surface roughness. This entrainment rate increase has increased near surface moisture, and as a result, helped to increase the underestimated convective available potential energy (CAPE) forecasts over the continental United States.
NCEP GFS PBL 和对流模型中环境风切变效应和修改后的夹带率和脱附率的更新及其对 GFS 飓风和 CAPE 预测的影响
为了减少飓风强度偏差,NCEP 全球预报系统(GFS)的行星边界层(PBL)和对流方案已经更新,在其上升气流和下沉气流质量通量方案中采用了新的环境风切变参数化和随着 PBL 或亚云平均湍流动能(TKE)增加而增强的夹带率和脱附率。使用 GFS 进行的测试表明,更新后的方案通过减少质量通量方案中的动量传输,大大降低了飓风强度偏差。随着强度偏差的减小,飓风强度和路径误差也有所减小。另一方面,为了减少植被覆盖率较高或表面粗糙度较大地区的 PBL 过度生长,PBL 质量通量方案中的夹带率也随着植被覆盖率的增加或表面粗糙度的增加而增加。这种夹带率的提高增加了近地面湿度,因此有助于提高美国大陆上空被低估的对流可用势能(CAPE)预报。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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