《電子技術(shù)應(yīng)用》
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多源極軌衛(wèi)星微波溫度計(jì)資料實(shí)時(shí)區(qū)域同化系統(tǒng)
電子技術(shù)應(yīng)用
希爽1,2,3,4,于天雷3,4,5,任素玲2,3,4,張里陽2,3,4,唐世浩2,3,4
1.中國(guó)氣象局地球系統(tǒng)數(shù)值預(yù)報(bào)中心 衛(wèi)星資料同化室,北京 100086;2.國(guó)家衛(wèi)星氣象中心 遙感室,北京 100081; 3.許健民氣象衛(wèi)星創(chuàng)新中心,北京100081;4.中國(guó)氣象局 中國(guó)遙感衛(wèi)星輻射測(cè)量和定標(biāo)重點(diǎn)開放實(shí)驗(yàn)室,北京100081; 5.國(guó)家衛(wèi)星氣象中心 衛(wèi)星氣象研究所,北京 100081
摘要: 基于中尺度數(shù)值預(yù)報(bào)模式WRF和WRFDA同化系統(tǒng),實(shí)現(xiàn)多源極軌衛(wèi)星微波溫度計(jì)資料實(shí)時(shí)區(qū)域同化,并對(duì)同化產(chǎn)品進(jìn)行評(píng)估和應(yīng)用。2018年同化試驗(yàn)結(jié)果表明:通過質(zhì)量控制和偏差訂正,AMSU-A資料第5~9通道亮溫觀測(cè)增量O-B(觀測(cè)值O和背景場(chǎng)的正演輻射模擬值B的差值)的標(biāo)準(zhǔn)差有效降低,同化后各通道亮溫分析殘差O-A(觀測(cè)值O和分析場(chǎng)的正演輻射模擬值A(chǔ)的差值)的標(biāo)準(zhǔn)差有效降低。同化預(yù)報(bào)產(chǎn)品被應(yīng)用在暴雨強(qiáng)對(duì)流個(gè)例和臺(tái)風(fēng)個(gè)例中,取得良好效果。
中圖分類號(hào):P445 文獻(xiàn)標(biāo)志碼:A DOI: 10.16157/j.issn.0258-7998.234606
中文引用格式: 希爽,于天雷,任素玲,等. 多源極軌衛(wèi)星微波溫度計(jì)資料實(shí)時(shí)區(qū)域同化系統(tǒng)[J]. 電子技術(shù)應(yīng)用,2024,50(3):86-91.
英文引用格式: Xi Shuang,Yu Tianlei,Ren Suling,et al. A real-time regional assimilation system of multi-source data of microwave temperature sounder onboard polar-orbiting satellites[J]. Application of Electronic Technique,2024,50(3):86-91.
A real-time regional assimilation system of multi-source data of microwave temperature sounder onboard polar-orbiting satellites
Xi Shuang1,2,3,4,Yu Tianlei3,4,5,Ren Suling2,3,4,Zhang Liyang2,3,4,Tang Shihao2,3,4
1.Satellite Assimilation Division, Center for Earth System Modelling and Prediction of CMA, Beijing, 100086, China; 2.Office of Remote Sensing Application, National Satellite Meteorological Center, Beijing 100081, China; 3.Innovation Center for Fengyun Meteorological Satellite, Beijing 100081, China; 4.Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration, Beijing 100081, China; 5.Satellite Meteorological Research Division, National Satellite Meteorological Center,Beijing 100081, China
Abstract: A real-time assimilation was realized, based on the meso-scale numerical prediction model WRF and WRFDA assimilation system,for data of microwave temperature sounder onboard polar-orbiting satellites, along with preliminary evaluation and application of the assimilation products. The results of assimilation experiments in 2018 show that: the standard deviations of O-B (the differences between observations and the forward radiative transfer model simulations of background) of channels 5~9 of AMSU-A data are reduced effectively. After assimilation, the standard deviations of O-A (the differences between observations and the forward radiative transfer model simulations of analysis) for each channel are also decreased. The application results of the outputs of assimilation and forecast are satisfactory on heavy rain and severe convection cases and typhoon cases.
Key words : satellite data assimilation;regional numerical weather prediction;polar-orbiting meteorological satellite;satellite microwave observation

引言

我國(guó)數(shù)值天氣預(yù)報(bào)業(yè)務(wù)部門普遍對(duì)極軌衛(wèi)星資料對(duì)全球數(shù)值預(yù)報(bào)模式的作用認(rèn)知度很高,但在我國(guó)區(qū)域模式[1-7]中,極軌衛(wèi)星資料并沒有得到普遍應(yīng)用。因?yàn)閰^(qū)域模式啟動(dòng)時(shí)間快、資料截?cái)鄷r(shí)間短。如快速更新循環(huán)同化系統(tǒng)[8-13]要求截?cái)鄷r(shí)間更短(如70 min),只有高時(shí)效資料才能進(jìn)入同化系統(tǒng)。全球(整軌)極軌衛(wèi)星資料一般時(shí)效為3 h~6 h,不能滿足要求。

本文提出采用多源極軌衛(wèi)星資料來解決以上問題:首先挖掘使用大量時(shí)效很高的區(qū)域轉(zhuǎn)發(fā)資料,滿足區(qū)域模式對(duì)資料的時(shí)效要求;然后利用搭載在不同平臺(tái)的多源衛(wèi)星資料,提高過境資料量。


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作者信息:

希爽1,2,3,4,于天雷3,4,5,任素玲2,3,4,張里陽2,3,4,唐世浩2,3,4

1.中國(guó)氣象局地球系統(tǒng)數(shù)值預(yù)報(bào)中心 衛(wèi)星資料同化室  2.國(guó)家衛(wèi)星氣象中心 遙感室  3.許健民氣象衛(wèi)星創(chuàng)新中心  4.中國(guó)氣象局 中國(guó)遙感衛(wèi)星輻射測(cè)量和定標(biāo)重點(diǎn)開放實(shí)驗(yàn)室  5.國(guó)家衛(wèi)星氣象中心 衛(wèi)星氣象研究所


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