双月刊

ISSN 1006-9895

CN 11-1768/O4

联合星载红外成像仪和高光谱探测的三维风场反演
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1.南京信息工程大学;2.南京信息工程大学大气物理学院;3.南京信息工程大学气象灾害预报预警与评估协同创新中心

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国家自然科学基金


3D wind field retrieval by combining space-borne infrared imager and hyperspectral detection
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1.Nanjing University of Information Science &2.Technology;3.Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China

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    摘要:

    风云四号A星(FY-4A)上搭载的地球同步干涉式红外探测仪(GIIRS)是首个静止轨道的红外高光谱探测仪,它可以提供连续的三维大气水汽的观测,通过追踪水汽的移动可以反演得到不同高度的大气水平风场。本研究利用台风玛丽亚(2018年)期间FY- 4A加密观测(15分钟间隔)的GIIRS数据开展晴空和部分云区的三维水平风场算法研究,重点研究如何联合同一卫星平台的多光谱成像仪(AGRI)改进GIIRS部分云区的三维风场反演结果。利用ERA5独立测试集、CRA40再分析和空投探空数据开展对晴空和云区的三维风场反演结果的检验,结果表明:(1)GIIRS亮温信息反演得到对流层水平风场,在晴空区统计均方根误差小于1.5m/s,方向绝对差基本在15°左右,在部分晴空区,统计均方根误差为1.5~1.7m/s,方向绝对差基本在20°左右。与传统光流法相比,基于GIIRS亮温的直接反演表现出更好的优势,其统计均方根误差和方向绝对差明显小于光流法;(2)按云量和云顶高度分类后,表现出云量越多、云顶高度越高则RMSE越大。在部分云覆盖区,进一步在模型输入中加入云量和云高信息后,RMSE有所减小,表明更高空间分辨率的AGRI产品可以改进GIIRS部分云覆盖区的风场反演精度;(3)基于GIIRS亮温信息反演的风廓线与CRA40再分析、空投探测风廓线有较好的一致性,表明利用红外高光谱亮温反演风场的合理性和可行性。

    Abstract:

    The Geosynchronous interferometric infrared sounder (GIIRS) onboard the Fengyun-4A (FY-4A) is the first geostationary hyperspectral infrared detector.It can provide continuous three-dimensional observations of atmospheric water vapor, and the atmospheric horizontal wind field at different heights can be retrieved by tracking the movement of water vapor. In this study, GIIRS data from FY-4A encrypted observations (30-minute intervals) during Typhoon Maria (2018) were used to carry out 3D horizontal wind field algorithm research in clear sky and partially cloud area, with the focus on how to improve the 3D wind field retrieval from partially cloud filled GIIRS footprints by combining with the Advanced Geostationary Radiation Imager (AGRI) of the same satellite platform. ERA5 independent test dataset, CRA40 analysis and radiosonde data were used to verify the 3D wind field retrieval results in clear sky and partially cloud area. The results indicated that: (1) the tropospheric wind field could be obtained from GIIRS brightness temperature measurements. In the clear skies, RMSE was less than 1.5m/s, and the absolute direction difference between retrieval and reference data was about 15°; under some clear skies, RMSE was 1.5~1.7m/s, and the absolute direction difference was about 20°. Compared with the traditional optical flow method, GIIRS brightness temperature based direct retrieval shows better accuracy with RMSE and direction absolute difference smaller than those from optical flow method. (2) When subdivided byScloud coverage (CC) and cloud-top pressure (CTP), it is shown that the more cloud cover and cloud top height, the greater RMSE. When CC and CTP are added to GIIRS brightness temperature based 3D wind retrieval, RMSE decreases, indicating that higher spatial resolution AGRI products can improve wind field retrieval accuracy in some cloud covered areas. (3) The wind profile retrieval from GIIRS brightness temperatures is consistent with the WIND profile of CRA40 analysis and dropsonde data, indicating the feasibility of deriving 3D wind from geostationary hyperspectral infrared brightness temperature measurements.

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  • 收稿日期:2022-05-31
  • 最后修改日期:2022-09-07
  • 录用日期:2022-10-09
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