GOES微下击暴流风速潜势指数
The GOES Microburst Windspeed Potential Index
摘要：
已经开发和评估了一套产品，以评估对流下击暴流对飞行中的飞机造成的危害，这些飞机来自当前一代的地球静止业务环境卫星（GOES）（11 - 12）。GOES微下击暴流产品的现有套件采用GOES探测器计算对流下击暴流生成的有利环境剖面的概念模型的基础上的风险。一个GOES探测器派生的湿微下击暴流严重性指数（WMSI）产品，以评估对流下击暴流的潜在量级，结合对流可用势能（CAPE）以及地面和对流层中层之间的垂直θ-e差（TeD）已经开发和实施。为了补充GOES WMSI产品在美国大平原地区的使用，还开发了GOES混合微下击暴流指数（HMI）产品。HMI产品通过结合云下温度直减率以及对流云底部和云下层的典型水平之间的露点低压差来推断对流边界层的存在。建议将WMSI和HMI合并为微下击暴流风速潜势指数（MWPI）算法，用于在GOES-R高级基线成像仪（ABI）中实现。
英文摘要：
A suite of products has been developed and evaluated to assess hazards presented by convective downbursts to aircraft in flight derived from the current generation of Geostationary Operational Environmental Satellite (GOES) (11-12). The existing suite of GOES microburst products employs the GOES sounder to calculate risk based on conceptual models of favorable environmental profiles for convective downburst generation. A GOES sounder-derived wet microburst severity index (WMSI) product to assess the potential magnitude of convective downbursts, incorporating convective available potential energy (CAPE) as well as the vertical theta-e difference (TeD) between the surface and mid-troposphere has been developed and implemented. Intended to supplement the use of the GOES WMSI product over the United States Great Plains region, a GOES Hybrid Microburst Index (HMI) product has also evolved. The HMI product infers the presence of a convective boundary layer by incorporating the sub-cloud temperature lapse rate as well as the dew point depression difference between the typical level of a convective cloud base and the sub-cloud layer. It is proposed to merge the WMSI and HMI into a Microburst Windspeed Potential Index (MWPI) algorithm for implementation in the GOES-R Advanced Baseline Imager (ABI).
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