A nowcasting approach for low Earth orbit hyperspectral infrared soundings within the convective environment

IF 3 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
B. Kahn, E. Berndt, J. Case, P. Kalmus, M. Richardson
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引用次数: 0

Abstract

Low Earth orbit (LEO) hyper-spectral infrared (IR) sounders have significant yet untapped potential for characterizing thermodynamic environments of convective initiation and ongoing convection. While LEO soundings are of value to weather forecasters, the temporal resolution needed to resolve the rapidly evolving thermodynamics of the convective environment is limited. We have developed a novel nowcasting methodology to extend snapshots of LEO soundings forward in time up to six hours to create a product available within National Weather Service systems for user assessment. Our methodology is based on parcel forward-trajectory calculations from the satellite observing time to generate future soundings of temperature (T) and specific humidity (q) at regularly gridded intervals in space and time. The soundings are based on NOAA-Unique Combined Atmospheric Processing System (NUCAPS) retrievals from the Suomi NPP and NOAA-20 satellite platforms. The tendencies of derived convective available potential energy (CAPE) and convective inhibition (CIN) are evaluated against gridded, hourly accumulated rainfall obtained from the Multi-Radar Multi-Sensor (MRMS) observations for 24 hand-selected cases over the Contiguous United States. Areas with forecast increases in CAPE (reduced CIN) are shown to be associated with areas of precipitation. The increases in CAPE and decreases in CIN are largest for areas that have the heaviest precipitation and are statistically significant compared to areas without precipitation. These results imply that adiabatic parcel advection of LEO satellite sounding snapshots forward in time are capable of identifying convective initiation over an expanded temporal scale compared to soundings used only during the LEO satellite overpass time.
对流环境下近地轨道高光谱红外探测的临近预报方法
近地轨道(LEO)高光谱红外(IR)探测仪在表征对流起始和持续对流的热力学环境方面具有重要的尚未开发的潜力。虽然近地轨道探测对天气预报员很有价值,但解决对流环境快速演变的热力学所需的时间分辨率是有限的。我们开发了一种新颖的临近预报方法,将低空探测的快照时间向前延长至6小时,从而在国家气象局系统中创建一个可供用户评估的产品。我们的方法是基于卫星观测时间的包裹前向轨迹计算,以在空间和时间上有规律的网格间隔产生温度(T)和比湿度(q)的未来探测。探测数据基于noaa -独特联合大气处理系统(NUCAPS)从索米核电站和NOAA-20卫星平台检索的数据。本文利用多雷达多传感器(MRMS)观测得到的网格化每小时累积降雨量,对美国连续地区24个人工选择的案例进行了推导对流有效势能(CAPE)和对流抑制(CIN)的趋势评估。预测CAPE增加的地区与降水有关。在降水最强烈的地区,CAPE的增加和CIN的减少最大,与无降水地区相比具有统计学意义。这些结果表明,与仅在LEO卫星立交桥时间内使用的探测数据相比,在扩大的时间尺度上,LEO卫星探测快照的绝热包裹平流能够识别对流的开始。
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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来源期刊
Weather and Forecasting
Weather and Forecasting 地学-气象与大气科学
CiteScore
5.20
自引率
17.20%
发文量
131
审稿时长
6-12 weeks
期刊介绍: Weather and Forecasting (WAF) (ISSN: 0882-8156; eISSN: 1520-0434) publishes research that is relevant to operational forecasting. This includes papers on significant weather events, forecasting techniques, forecast verification, model parameterizations, data assimilation, model ensembles, statistical postprocessing techniques, the transfer of research results to the forecasting community, and the societal use and value of forecasts. The scope of WAF includes research relevant to forecast lead times ranging from short-term “nowcasts” through seasonal time scales out to approximately two years.
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