An impact study of GPS radio occultation observations on frontal rainfall prediction with a local bending angle operator

NCUIR > Research Center > Global Atmosphere Observation and Data Application Research Center > journal & Dissertation > Item 987654321/103122

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/103122

Title:	An impact study of GPS radio occultation observations on frontal rainfall prediction with a local bending angle operator
Authors:	陳舒雅;Huang, Ching-Yuang;Chen, Shu-Ya;Rao Anisetty, S. K. A. V. Prasad;Yang, Shu-Chih;Hsiao, Ling-Feng
Contributors:	全球大氣觀測與資料應用研究中心
Keywords:	Data assimilation;Data collection;Global positioning systems;GPS;Innovations;Ionosphere;Meteorology;Radios;Rain;Rainfall;Refractivity;Studies
Date:	2016-01-01
Issue Date:	2026-04-23 11:23:48 (UTC+8)
Publisher:	American Meteorological Society;Boston: American Meteorological Society
Abstract:	摘要： The impact of global positioning system (GPS) radio occultation (RO) soundings on the prediction of severe mei-yu frontal rainfall near Taiwan in June 2012 was investigated in this study using a developed local bending angle (LBA) operator. Two operators for local refractivity (REF) and nonlocal refractivity [excess phase (EPH)] were also used for comparisons. The devised LBA simplifies the calculation of the Abel transform in inverting model local refractivity without a loss of accuracy. These operators have been implemented into the three-dimensional variational data assimilation system of the Weather Research and Forecasting (WRF) Model to assimilate GPS RO soundings available from the Formosa Satellite Mission 3/Constellation Observing Systems for Meteorology, Ionosphere and Climate (FORMOSAT-3/COSMIC). The RO data are found to be beneficial to the WRF forecast of local severe rainfall in Taiwan. Characteristics of assimilation performance and innovation for the three operators are discussed. Both of the local operators performing assimilation at observation levels appear to produce mostly larger positive moisture increments than do the current nonlocal operators performing assimilation on the mean height of each model vertical level. As the information of the initial increments has propagated farther south with the frontal flow, the simulation for LBA shows better prediction of rainfall peaks in Taiwan on the second day than both REF and EPH, with a maximum improvement of about 25%. The positive impact of the RO data results partially from several RO observations near Mongolia and north China. This study provides an intercomparison among the three RO operators, and shows the feasibility of regional assimilation with LBA. 出版者： Boston: American Meteorological Society 出版日期： 2016-02-01 出處： Weather and forecasting, 2016-02, Vol.31 (1), p.129-150 資源來源： Agricultural & Environmental Science Collection 版權： Copyright American Meteorological Society Feb 2016 識別號： ISSN: 0882-8156 識別號： EISSN: 1520-0434 識別號： DOI: 10.1175/WAF-D-15-0085.1 識別號： CODEN: WEFOE3
Appears in Collections:	[Global Atmosphere Observation and Data Application Research Center] journal & Dissertation

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