多传感器预测分层可降水产品在运行预报环境中的应用

IF 0.8 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of Operational Meteorology Pub Date : 2018-06-15 DOI:10.15191/NWAJOM.2018.0606
Christopher M. Gitro, Kansas City Nws, Missouri Pleasant Hill, Michael L. Jurewicz, S. Kusselson, J. Forsythe, S. Kidder, E. Szoke, D. Bikos, Andrew S. Jones, Chad Gravelle, C. Grassotti
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引用次数: 7

摘要

大气研究合作研究所通过联合极地卫星系统试验场开发了一种平流混合分层可降水产品,该产品描绘了整个网格在同一时间的湿度剖面。利用美国国家海洋和大气管理局极地轨道航天器上微波综合检索系统(MiRS)的水蒸气剖面检索,ALPW产品能够描绘四个大气层的水分分布。使用全球预报系统模型风,ALPW层每3小时提前一次。随着卫星带状线和数据不连续性的大幅消除,平流混合减少了传统非平流分层预沉淀水(LPW)图像的视觉局限性。新的ALPW产品具有与LPW图像相同的时间分辨率,提供了这四个大气层(表面850 hPa、850–700 hPa、700–500 hPa和500–300 hPa)中水分分布的更连续和完整的图像。预报员也更容易将平差产品解释为在公共时间和网格上的分析,使ALPW产品与运营模型指南具有可比性。本文通过强调与最近三次高影响山洪事件相关的环境,展示了ALPW产品作为态势感知工具的实用性。初步发现表明,ALPW数据提高了追踪来自远离山洪暴发位置的源区的深对流层湿气羽流的探测能力。摘要(手稿于2017年12月18日收到;审查于2018年5月11日完成)
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Using the Multisensor Advected Layered Precipitable Water Product in the Operational Forecast Environment
The Cooperative Institute for Research in the Atmosphere, via the Joint Polar Satellite System Proving Ground, developed an advectively blended layered precipitable water (ALPW) product that portrays moisture profiles at a common time across the grid. Using water vapor profile retrievals from the National Oceanic and Atmospheric Administration’s Microwave Integrated Retrieval System (MiRS) aboard polar-orbiting spacecraft, the ALPW product is able to depict the moisture distribution for four atmospheric layers. The ALPW layers are advected forward in time every 3-h using Global Forecast System model winds. Advective blending offers a reduction to the visual limitations seen with traditional non-advected layered precpitable water (LPW) imagery, as satellite swath lines and data discontinuities largely are removed. Having the same temporal resolution as LPW imagery, the new ALPW product offers a more continuous and complete picture of the moisture distribution in these four atmospheric layers (surface–850 hPa, 850–700 hPa, 700–500 hPa, and 500–300 hPa). The advected product also is easier for forecasters to interpret as the analysis at a common time and grid makes the ALPW product comparable to operational model guidance. This paper demonstrates the utility of the ALPW product as a situational awareness tool by highlighting the environments associated with three recent high-impact flash flood events. Initial findings indicate that ALPW data have improved the detection capability for tracking deep tropospheric moisture plumes from source regions well-removed from the flash flood locations. ABSTRACT (Manuscript received 18 December 2017; review completed 11 May 2018)
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来源期刊
Journal of Operational Meteorology
Journal of Operational Meteorology METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
2.40
自引率
0.00%
发文量
4
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