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气象:2017,43(5):573-580
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基于FY-3C/MWTS-II数据估计西北太平洋热带气旋强度
(中国气象局中国遥感卫星辐射测量和定标重点开放实验室,国家卫星气象中心, 北京 100081)
Estimating Intensity of Tropical Cyclone over the Western North Pacific Based on FY 3C/MWTS II Data
(Key Lab of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Centre, Beijing 100081)
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投稿时间:2016-01-15    修订日期:2017-02-10
中文摘要: 文章利用FY 3C新型微波温度计(MWTS II)数据估计发生在西北太平洋的热带气旋强度。首先对与热带气旋最强暖核位置相重合的通道5~8进行临边订正,取得了较好的效果,订正偏差均小于各通道的探测灵敏度;之后利用热带气旋微波亮温距平分布分析了热带气旋在对流层中、上层的增暖特征,发现热带气旋中心的增暖强度、形状特征与热带气旋的强度相关,强度较强的气旋中心增温较强,其暖核结构清楚而完整;最后利用通道6和通道7最强亮温距平中的最大值建立了热带气旋强度估计模型,独立样本检验的标准偏差为13.0 hPa,进行扫描角度修正后的标准偏差为12.0 hPa,引入纬度因子后的标准偏差为11.1 hPa,估计精度得到一定程度的改善。
Abstract:A technique for estimating tropical cyclone (TC) intensity over the Western North Pacific utilizing FY 3C Microwave Temperature Sounding (MWTS II) data was developed. First, the limb adjustment was conducted to correct the data of Channels 5-8 to the values they would have in a vertical view, and the corrected deviations were all smaller than the instrument sensitivity. Then the radiance anomaly (core value minus an average environmental value) was used to analyze the characteristics of the TC warm core, and the magnitude and shape feature of the warm core were found related to the TC intensity. As TC intensity gets stronger, the magnitude increases and the shape feature gets clearer and more complete. Finally, an estimation model was estabished using the maximun radiance anomaly of Channel 6 and Channel 7. The standard deviation was 13.0 hPa. After the correction of the bias resulted from the unevenly distribution of MWTS II footprints, the standard deviation was reduced to 12.0 hPa, and, then further reduced to 11.1 hPa after the latitude was taken into account.
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基金项目:国家重点研发计划重点专项(2016YFA0600101)和国家自然科学基金青年基金项目(41605028)共同资助
引用文本:
张淼,覃丹宇,邱红,2017.基于FY-3C/MWTS-II数据估计西北太平洋热带气旋强度[J].气象,43(5):573-580.
ZHANG Miao,QIN Danyu,QIU Hong,2017.Estimating Intensity of Tropical Cyclone over the Western North Pacific Based on FY 3C/MWTS II Data[J].Meteor Mon,43(5):573-580.