本研究利用中壢電離層觀測站發射天線與新屋氣象站接收天線組成之雙態流星雷 達系統，進行流星回波辨識與定位，並依此進行中高層(Mesosphere and Lower Thermosphere， MLT)大氣水平風場分析及中氣層頂(mesopause)溫度反演。 研究分析民國 114 年 7 月 24 號到 9 月 18 日流星雷達所觀測之低密度流星尾回波，比較由相關法(correlation method)和頻譜法(spectrum method)在目標辨識與定位結果之差異，並和雷達系統廠商之軟體結果進行比對。 本研究透過流星回波之徑向速度與定位資訊，採用動窗法(sliding window)推算80 至110公里高度之水平風場，並經由調和分析(harmonic analysis)與頻譜分析(spectrum analysis)探討大氣潮汐及相位變化，進一步與水平風場模式(HWM14， Horizontal Wind Model)及雷達系統廠商之軟體結果進行比對。 最後，本研究統計流星回波振幅之衰減時間來計算擴散係數，並推導其隨高度之變 化關係式，並參考 Hocking (1999)之方式進行溫度計算。因為流星隨高度分布會呈現常 態分布，本研究進行高斯擬合以取得半峰全寬(Full Width at Half Maximum， FWHM)，參考 Lee et al. (2016)之架構與 Aura/MLS 資料進行迴歸分析(regression analysis)，獲得中氣層頂溫度之日變化圖，並與 Aura/MLS 觀測資料進行比對驗證。;This study utilizes a bistatic meteor radar system configured with a transmitting antenna at the Zhongli Ionospheric Observatory and a receiving antenna at the Xin Wu Weather Station to perform meteor echo identification and localization， and subsequently to analyze horizontal wind fields and derived mesopause temperatures. Observations of underdense meteor trail echoes collected from July 24 to September 18， 2025， are analyzed. The identification and location results derived from the Correlation Method and the Spectrum Method are compared， and both are further evaluated against the outputs provided by the radar system manufacturer’s software. Using the radial velocities (Doppler velocities) and positional information of meteor echoes， the horizontal wind field at altitudes between 80 and 110 km is estimated using the sliding window method. Harmonic analysis and spectrum analysis are applied to investigate atmospheric tides and phase variations， with findings compared to the Horizontal Wind Model (HWM14) and the radar manufacturer’s software. Finally， the ambipolar diffusion coefficient is calculated from the decay time of meteor echo amplitudes to derive its relationship with altitude. Temperature estimation was conducted following the methodology of Hocking (1999). Since the meteor height distribution follows a normal distribution， a Gaussian fit is performed to obtain the full width at half maximum (FWHM). Following the framework of Lee et al. (2016) and integrating Aura/MLS data， regression analysis is conducted to derive the diurnal variation of mesopause temperature， which is then validated against Aura/MLS observations.
