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卫星风推导和应用综述
Status Review on Atmospheric Motion Vectors-derivation and Application
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摘要: 该文介绍了卫星风推导和应用的进展, 包括卫星风的算法, 卫星风在数值天气预报中的应用, 卫星风在天气分析和预报中的应用以及卫星风的研究工作动向。目前各个卫星数据处理中心卫星风的算法大体一致和稳定。风矢量的追踪用相关匹配法, 而风矢量的高度指定依靠双通道物理方法。卫星风的质量是从图像定位和定标开始的许多工作阶段的综合结果, 确保每个工作段的高质量对于风矢量的计算都十分重要。卫星风的高度指定仍然是最有挑战性的课题。因为物理定高方法进展不明显, 近期内尤其要重视几何定高技术的研究和使用。静止气象卫星的风对数值预报的影响在热带和南半球是正反馈; 由于在极地地区各种资料都十分匮乏, 极地卫星风对数值天气预报有非常明显的正反馈。卫星风与云图叠合显示, 在主要雨带、副热带高压、强对流和热带气旋的诊断、分布、预报中十分有用。Abstract: Atmospheric Motional Vector (AMV) derived from continuous satellite images, their derivations and applications in Numerical Weather Prediction, weather analyses and forecasting as well as the recent research development are introduced and reviewed. At present, the algorithms of AMV derivation are basically identical among different satellite data processing centers. AMV image matching is used with correlation method, while AMV height assignment is physically based on one window channel and one absorption channel. The quality of AMVs derivation depends on the entire procedure of the data processing. Therefore, it is very important to guarantee the high performance of each step in data processing. Height assignment is still a challenging issue at present. Since physical height assignment does not turn out ideal results, attentions ought to be paid to the test on geometric way. Geostationary AMV gives positive contribution in tropics and southern hemisphere in NWP. Because of the lack of various types data in the polar zones, polar AMV has positive feed back in NWP. Feed back from MODIS polar winds is quite encouraging. Overlapping display of AMVs and satellite images give forecasters a unique tool at weather analysis and forecasting. It is especially useful for diagnosis of major rain belt, subtropical ridge, severe convections and tropical cyclones.
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表 1 比较要素 (i)、函数 (φ) 和权重 (W) 的定义 (根据Holmlund等[33]修正)
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[1] Menzel W P.Application with Meteorological Satellites, WMO Technical Document No.1078, SAT-28, 2001. [2] Leese J A, Novak S, Clark B. An automatic technique for obtaining cloud motion from Geosynchronous Satellite data using cross correction. J Appl Meteor, 1971, 10:118-132. doi: 10.1175/1520-0450(1971)010<0118:AATFOC>2.0.CO;2 [3] Nieman S J, Menzel W P, Hayden C M, et al. Fully automatic cloud-drift winds in NESDIS operations. Bull Amer Meteor Soc, 1997, 78(6):1121-1133. doi: 10.1175/1520-0477(1997)078<1121:FACDWI>2.0.CO;2 [4] Schmetz J, Holmlund K, Hoffman J, et al. Operational cloud motion winds from Meteosat infrared images.J Appl Meteor, 1993, 32(7):1206-1225. doi: 10.1175/1520-0450(1993)032<1206:OCMWFM>2.0.CO;2 [5] Xu J, Holmlund K, Zhang Q, et al.Comparison of two schemes for derivation of atmospheric motion vectors. J Geophys Res, 2002, 107(D14). http://adsabs.harvard.edu/abs/2002JGRD..107.4196X [6] Xu Jianmin, Zhang Qisong.Calculation of Cloud Motion Wind with GMS-5 Images in China. Proceedings of the Third International Winds Workshop, Ascona, 10-12 June 1996, EUMETSAT Publication, EUM P18:45-52. [7] Schejwach G. Determination of semitransparent cirrus cloud temperature from infrared radiances:application to Meteosat. J Appl Meteor, 1982, 21(3):384-393. doi: 10.1175/1520-0450(1982)021<0384:DOSTCC>2.0.CO;2 [8] Menzel W P, Smith W L, Stewart T R.Improved cloud motion wind vector and altitude assignment using VAS. J Climate Appl Meteor, 1983, 22:377-384. doi: 10.1175/1520-0450(1983)022<0377:ICMWVA>2.0.CO;2 [9] Xu Jianmin, Zhang Qisong, Fang Xiang, et al. Cloud Motion Winds from FY-2 and GMS-5 Meteorological Satellites, Proceedings of the 4th International Winds Workshop, Saanenmöser, Switzerland, 20—23 October 1998, EUMETSAT Publication, EUM P24:41-48. https://www.researchgate.net/publication/268358158_CLOUD_MOTION_WINDS_FROM_FY-2_AND_GMS-5_METEOROLOGICAL_SATELLITES [10] 许健民, 张其松, 方翔.用红外和水汽两个通道的卫星测值指定卫星风的高度.气象学报, 1997, 55(4):408-417. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXB704.002.htm [11] Schmetz J, Hinsman D, Menzel W P. Summary of the Fourth International Wind Workshop.Bull Amer Meteor Soc, 1999, 80 (5):893-899. [12] Campbell G G, Holmlund K. Geometric Cloud Heights from Meteosat and AVHRR. Proceedings Fifth International Wind Workshop, Lorne Australia, March 2000, EUM P28:109-115. https://www.researchgate.net/publication/248977451_Geometric_cloud_heights_from_Meteosat [13] Holmlund K.The utilization of statistical properties of satellite-derived atmospheric motion vectors to derive quality indicators. Wea Forecasting, 1998, 13:1093-1104. doi: 10.1175/1520-0434(1998)013<1093:TUOSPO>2.0.CO;2 [14] Nakamura Y, Ozawa E, Onogi K, et al.Impact Experiments on NWP with Rapid Scan AMVs. Proceedings of the 6th International Winds Workshop, Madison, USA, 7—10 May 2002, EUMETSAT Publication, EUM P35:171-178. https://www.researchgate.net/publication/268385205_IMPACT_EXPERIMENTS_ON_NWP_WITH_RAPID_SCAN_AMVS [15] Santek D, Key J, Velden C, et al. Deriving Winds from Polar Orbiting Satellite Data.Proceedings of the 6th International Winds Workshop, Madison, USA, 7—10 May 2002, EUMETSAT Publication, EUM P35:251-261. https://www.researchgate.net/publication/267194853_DERIVING_WINDS_FROM_POLAR_ORBITING_SATELLITE_DATA [16] Ingmann P, Fuchs J. The Atmospheric Dynamics Mission. Proceedings Fifth International Wind Workshop, Lorne Australia, March 2000, EUM P28:267-274. https://www.researchgate.net/publication/295725810_The_atmospheric_dynamics_mission [17] Smith W, Harrison W, Hinton D, et al.GIFTS-A System for Wind Profiling from Geostationary Satellites. Proceedings Fifth International Wind Workshop, Lorne Australia, March 2000, EUM P28:253-258. https://www.researchgate.net/publication/3962379_GIFTS_-_the_precursor_geostationary_satellite_component_of_the_future_Earth_Observing_System [18] Chen J E. China Meteorological Satellite FY-2 Cloud Drift Wind Processing Method. Proceedings of the 2nd International Winds Workshop, Tokyo 13—15 December 1993, EUMETSAT, EUM P14:71-76. [19] Xu J, Fang X, Zhang Q. Developing and Non Developing Tropical Cyclones Revealed by High Density Cloud Motion Winds, Proceedings of the 4th International Winds Workshop, Saanenmöser, Switzerland, 20—23 October 1998, EUMETSAT Publication, EUM P24:147-154. http://mall.cnki.net/magazine/Article/RQXB200101008.htm [20] 方翔, 许健民, 张其松.高密度卫星风资料所揭示的发展和不发展热带气旋的对流层上部环流特征.热带气象学报, 2000, 16(3):217-224. http://www.cnki.com.cn/Article/CJFDTOTAL-RDQX200003003.htm [21] Xu J, Lu F, Zhang Q S. Automatic Navigation of FY-2 Geosyncronous Meteorological Satellite Images. Proceedings of the 6th International Winds Workshop, Madison, USA, 7—10 May 2002, EUMETSAT Publication, EUM P35:291-296. [22] 陆风, 许健民, 张其松.风云二号气象卫星姿态和失配角参数对图像影响的模拟研究.应用气象学报, 2001, 12(4):393-398. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20010454&flag=1 [23] Dew G, Holmlund K. Investigations of Cross-correlation and Euclidean Distance Target Matching Techniques in the MPEF Environment. Proceedings of the fifth International Winds Workshop, Lorne, 28 February—3 March 2000, EUMETSAT, EUM P28:235-243. https://www.researchgate.net/publication/237677746_INVESTIGATION_OF_TARGET_TRACKING_TECHNIQUES_IN_THE_MSG_MPEF_ENVIRONMENT [24] Schmetz J, Holmlund K, Hoffman J, et al.Operational cloud motion winds from Meteosat infrared image.J Appl Meteor, 1993, 32:1206-1225. doi: 10.1175/1520-0450(1993)032<1206:OCMWFM>2.0.CO;2 [25] Holmlund K. Current Status of the Meteosat Operational and Future AMV Extraction Facilities. Proceedings of the 6th International Winds Workshop, Madison, USA, 7—10 May 2002, EUMETSAT Publication, EUM P35:45-52. [26] Nieman S J, Schmetz J, Menzel W P.A comparison of several techniques to assign heights to cloud tracers. J Appl Meteor, 1993, 32:1559-1568. doi: 10.1175/1520-0450(1993)032<1559:ACOSTT>2.0.CO;2 [27] Daniels J, Velden C, Bresky W, et al. Status and Development of GOES Wind Products at NOAA/NESDIS. Proceedings of the 6th International Winds Workshop, Madison, USA, 7—10 May 2002, EUMETSAT Publication, EUM P35:71-80. https://ams.confex.com/ams/annual2003/techprogram/paper_53647.htm [28] Coakley J, Bretherton F. Cloud cover from high resolution scanner data:detecting and allowing for partially filled fields of view. J Geophys Res, 1982, 87(C7):4017-4932. doi: 10.1029/JC087iC07p04917/abstract;jsessionid=B447E826E616CCA84F5885F8FDC7663A.f03t04 [29] Hoffman J. Use of Spatial Coherence Method for Cloud Motion Wind Retrieval.The 8th Meteosat Users' Meeting, 1990:97-100. [30] Gustafsson J, De Berg L V, Roveda F, et al. Preprocessing of Atmospheric Motion Vectors from Meteosat Image Data.Proceedings of the 6th International Winds Workshop, Madison, USA, 7—10 May 2002, EUMETSAT Publication, EUM P35:53-62. [31] Inoue T.On the temperature and effective emissivity determination of semi-transparent cirrus clouds by bi-spectral measurements in the 10 μm window region.J Meteor Soc Japan, 1985, 63 (1):88-98. https://www.jstage.jst.go.jp/article/jmsj1965/63/1/63_1_88/_article [32] Velden C S, Hayden C M, Nieman M S J, et al.Upper-tropospheric winds derived from Geostationary satellite water vapour observations. Bull Amer Meteor Soc, 1997, 78:173-195. doi: 10.1175/1520-0477(1997)078<0173:UTWDFG>2.0.CO;2 [33] Holmlund K, Velden C S. Objective Determination of the Reliability of Satellite Derived Atmospheric Motion Vectors.Proceedings of the Fourth International Winds Workshop, Saanenmöser, Switzerland, 20—23 October 1998, EUMETSAT Publication, EUM P24:215-224. https://www.researchgate.net/publication/267998119_OBJECTIVE_DETERMINATION_OF_THE_RELIABILITY_OF_SATELLITE-DERIVED_ATMOSPHERIC_MOTION_VECTORS [34] Grijn G, Garcia-Mendez A.Monitoring of Atmospheric Motion Vectors at ECMWF.Proceedings of the 6th International Winds Workshop, Madison, USA, 7—10 May 2002, EUMETSAT Publication, EUM P35:81-86. [35] Forsythe M, Garcia-Mendez A, Berger H, et al.Status and Development of Satellite Wind Monitoring by the NWP SAF. Proceedings of the 6th International Winds Workshop, Madison, USA, 7—10 May 2002, EUMETSAT Publication, EUM P35:105-112. https://www.researchgate.net/publication/237539690_STATUS_AND_DEVELOPMENT_OF_SATELLITE_WIND_MONITORING_BY_THE_NWP_SAF [36] Bremen L, Thépaut J, Kelly G. Assimilation of Polar Winds and Recent Satellite Winds Impact Studies at ECMWF. Proceedings of the 6th International Winds Workshop, Madison, USA, 7—10 May 2002, EUMETSAT Publication, EUM P35:255-263. https://www.researchgate.net/publication/237348065_ASSIMILATION_OF_POLAR_WINDS_AND_RECENT_SATELLITE_WINDS_IMPACT_STUDIES_AT_ECMWF [37] 周兵, 徐海明, 吴国雄, 等.卫星风资料同化对暴雨预报影响的数值模拟.气象学报, 2002, 60(3):309-317. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXB200203005.htm [38] 张守峰, 王诗文.在台风业务系统中使用卫星云导风资料的试验.气象, 1999, 25(8):22-25. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXX908.004.htm [39] 张守峰, 王诗文.应用卫星云导风进行台风路径预报试验.热带气象学报, 1999, 15(4):347-355. http://www.cnki.com.cn/Article/CJFDTOTAL-RDQX199904007.htm [40] 王峰, 许健民.卫星风资料所揭示的对流层上部环流形势与1998年夏季我国南方雨带的关系∥1998年长江嫩江流域特大暴雨的成因及预报应用研究.北京:气象出版社, 2001:142-147. [41] 侯青, 许健民.卫星导风所揭示的对流层上部环流形势与我国夏季主要雨带之间的关系.应用气象学报, 2006, 17(2):138-144. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20060224&flag=1 [42] Weldon R B, Holmes S J.水汽图像在天气分析和预报中的解释与应用 (中译本).北京:气象出版社, 1994. [43] Schmetz J, Borde R, König M, et al.Upper Tropospheric Fields in a Tropical Convective System Observed with METEOSAT-8. Proceedings of the 6th International Winds Workshop, Madison, USA, 7—10 May 2002, EUMETSAT Publication, EUM P35:359-365. doi: 10.1029/2005GL024371/abstract [44] Charney J G, Eliassen A.On the growth of the hurricane depression. J Atmos Sci, 1964, 21:68-75. doi: 10.1175/1520-0469(1964)021<0068:OTGOTH>2.0.CO;2 [45] Gray W M. Global view of the origin of tropical disturbances and storms. Mon Wea Rev, 1968, 96:669-698. doi: 10.1175/1520-0493(1968)096<0669:GVOTOO>2.0.CO;2 [46] Holland J G. Angular momentum transports in tropical cyclones. Quart J Roy Meteor Soc, 1983, 109:187-209. doi: 10.1002/qj.v109:459 [47] Sadler J C.A role of the tropical upper tropospheric trough in early season typhoon eevelopment. Mon Wea Rev, 1976, 104:1266-1278. doi: 10.1175/1520-0493(1976)104<1266:AROTTU>2.0.CO;2 -
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