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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/63416

    Title: Impacts of GPS Radio Occultation Data on Severe Weather Prediction;Anisetty S. K. A. V. P. Rao
    Authors: 安尼舍帝;Rao,Anisetty S. K. A. V. P.
    Contributors: 大氣物理研究所
    Keywords: GPS;Radio Occultation;Mei-Yu Front;SSM/I;QuikSCAT;Cyclone Gonu;Bending Angle;Refractivity;Exess Phase;GPS;Radio Occultation;Mei-Yu Front;SSM/I;QuikSCAT;Cyclone Gonu;Bending Angle;Refractivity;Exess Phase
    Date: 2014-01-28
    Issue Date: 2014-04-02 14:50:29 (UTC+8)
    Publisher: 國立中央大學
    Abstract: ABSTRACT
    Global Position System (GPS) radio occultation (RO) soundings are assimilated to
    explore the impacts of GPS RO data on prediction of severe weather systems such as
    super cyclone Gonu (2007) over the northern Indian Ocean and Mei-yu frontal (2012)
    rainfall over Taiwan. A series of experiments were conducted using the advanced
    Weather Research and Forecasting (WRF) model with three dimensional variational
    method (3DVAR) to assimilate GPS RO refractivity from FORMOSAT-3/COSMIC
    (hereafter refer as GPS) and other datasets in order to verify the relative impact of GPS
    RO soundings.
    For the study of cyclone Gonu, we use Special Sensor Microwave Imager (SSM/I)
    retrieved precipitable water and near-surface oceanic wind speed, and radiosonde
    sounding (GTS), QuikSCAT derived winds, bogus vortex along with GPS RO data.
    Significant differences in cyclone track and intensity prediction are exhibited in
    various assimilations. GPS-cyc (GPS cyclic) outperformed well when compared to all
    other simulations till day 3 with the smallest cross-track error, SSM/I experiment obtains
    the strongest cyclone intensity. Sensitivity tests were also conducted to identify which
    GPS RO sounding plays a more crucial role in track prediction. It was found that the RO
    soundings in the vicinity of Gonu cyclone appear to modify the environmental conditions
    that result in a later development of a couplet of high and low pressure leading to an
    impact on track prediction, but the sounding closest to the cyclone center exhibits the
    largest contribution. Sensitivity experiments indicate that the retrieved GPS data
    information at upper levels with initial colder temperature increments indeed contributes
    more to improvement on track prediction. The improvement will not degrade until only
    the initial RO sounding information above 14 km height is retained in the model.
    Severe rainfall associated with a Mei-yu frontal system in Taiwan is studied using
    three different observational operators such as local bending angle, local refractivity, and
    non-local refractivity. The assimilations of the RO data are found beneficial to the
    forecast of severe rainfall associated with Mei-yu frontal system in Taiwan. Distributions
    of major rainfall in northern Taiwan on the second day, in particular, best benefit the
    performance of the local bending angle operator, followed by local refractivity operator.
    Both the operators appear to produce mostly larger positive moisture increments than the
    non-local operator. We found that the impact of RO data results from several critical RO
    observations near Mongolia and northern China. This study is the first attempt to provide
    an inter-comparison among the three RO operators, and show the feasibility of model
    assimilation with local bending angle.; 摘 要
    全球定位系統掩星(GPS RO)觀測資料於本研究中被同化於模式中,進一
    Research and Forecasting )模式和三維變分資料同化方法(3DVAR),並於研究
    中同化福爾摩沙衛星三號(FORMOSAT-3COSMIC)GPS RO折射率觀測資料和其
    他用來驗證GPS RO的影響的觀測資料。
    於颶風Gonu 的研究中, 我們使用SSM/I 衛星觀測資料(Special Sensor
    Microwave Imager)、傳統觀測資料(GTS)、QuikSCAT衛星觀測資料和包含GPS
    和強度預報有顯著不同,比較所有實驗路徑誤差,其中GPS-cyc(GPS cyclic)之氣
    梅雨(2012)鋒面系統數個實驗中,於模式中同化了GPS 掩星觀測資料並
    使用三個不同的觀測算子如局地折射率(Local Reflectivity 簡稱REF)、局地偏折
    角(Local Bending Angle 簡稱LBA)和非局地折射率(Nonlocal Refractivity 簡稱
    星資料對於梅雨(2012)個案預報結果皆有助益,其中LBA 實驗模擬第二天降雨
    結果最接近觀測,其次為REF 實驗,這兩組實驗的模式初始場水氣增量皆比EPH
    Appears in Collections:[大氣物理研究所 ] 博碩士論文

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