| 基于微波辐射计和探空的FY-4A温度廓线检验 |
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| 引用本文： | 王洪, 周后福, 王琛, 等. 基于微波辐射计和探空的FY-4A温度廓线检验. 应用气象学报, 2023, 34(3): 295-308. DOI: 10.11898/1001-7313.20230304. |
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| 作者姓名： | 王洪 周后福 王琛 夏一楠 |
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| 作者单位： | 1.山东省气象防灾减灾重点实验室, 济南 250031;2.山东省人民政府人工影响天气办公室, 济南 250031;3.安徽省气象科学研究所, 合肥 230031;4.大气科学与卫星遥感安徽省重点实验室, 合肥 230031;5.山东省济南市章丘区气象局, 济南 250200 |
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| 摘 要： | 选取2021年1月1日—2022年3月31日山东济南地区探空、微波辐射计和FY-4A的温度廓线，评估FY-4A温度廓线偏差特征。结果表明：10 km以下，FY-4A温度比探空偏小0.51℃，两者偏差的标准差为0.50℃；FY-4A温度比微波辐射计偏大0.53℃，两者偏差的标准差为0.75℃。FY-4A与探空在00：00(世界时，下同)和12：00的温度偏差趋势一致；相对于00：00，12：00的FY-4A与探空温度偏差的离散程度较小。有降水时，600 m高度以上微波辐射计与FY-4A的温度偏差逐渐增大，在1500 m高度附近偏差达到最大值(约为9.35℃)，在3000~8500 m高度内偏差为1.35~5.10℃，偏差的标准差为1.41~4.99℃。有降水时，FY-4A与探空的温度偏差和标准差在不同高度上不同，偏差变化范围为-0.31~3.60℃。有云时，微波辐射计与FY-4A的温度偏差为-0.40℃，偏差的标准差为3.79℃；探空与FY-4A的温度偏差为0.31℃，偏差的标准差为2.66℃。相对于有云时，晴空背景下FY-4A与另外两种设备的温度偏差和标准差均较小。
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| 关 键 词： | FY-4A 微波辐射计 探空 温度廓线 偏差特征 |
| 收稿时间： | 2023-01-14 |
| 修稿时间： | 2023-02-28 |
Accuracy Validation of FY-4A Temperature Profile Based on Microwave Radiometer and Radiosonde |
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| Wang Hong, Zhou Houfu, Wang Chen, et al. Accuracy validation of FY-4A temperature profile based on microwave radiometer and radiosonde. J Appl Meteor Sci, 2023, 34(3): 295-308. DOI: 10.11898/1001-7313.20230304. |
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| Authors: | Wang Hong Zhou Houfu Wang Chen Xia Yinan |
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| Affiliation: | 1. Key Laboratory for Meteorological Disaster Prevention and Mitigation of Shandong, Jinan 250031;2. Shandong Weather Modification Office, Jinan 250031;3. Anhui Institute of Meteorological Sciences, Hefei 230031;4. Anhui Key Laboratory of Atmospheric Science and Satellite Remote Sensing, Hefei 230031;5. Zhangqiu Meteorological Bureau of Shandong Province, Jinan 250200 |
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| Abstract: | To take full advantage of FY-4A temperature profile data to understand the evolutions of weather processes and nowcasting, based on the atmospheric temperature profile of radiosonde, microwave radiometer and FY-4A satellite from 1 January 2021 to 31 March 2022, 897 samples are matched and their deviation characteristics are evaluated. The results show that the correlation coefficient between FY-4A satellite temperature and that of microwave radiometer is 0.9891, and the correlation coefficient between FY-4A satellite temperature and that of radiosonde is 0.9820. The mean temperature of FY-4A satellite is 0.51℃ smaller than that of the radiosonde below 10 km height, and the standard deviation is 0.50℃. The mean temperature of FY-4A satellite is 0.53℃ larger than that of the microwave radiometer below 10 km, and the standard deviation is 0.75℃. FY-4A temperature is consistent with the mean deviation trend of the radiosonde at 0000 UTC and 1200 UTC. Compared with 0000 UTC, the deviation sample of FY-4A at 1200 UTC is less discrete. When there is precipitation, the temperature deviation of microwave radiometer and FY-4A gradually increases above 600 m height, and the deviation reaches the maximum (about 9.35℃) near 1500 m height. In the range of 3000-8500 m height, the deviation ranges from 1.35℃ to 5.10℃, and the standard deviation ranges from 1.41℃ to 4.99℃. In the case of precipitation, the deviation values and standard deviations of FY-4A temperature and radiosonde are small. Although the deviation values and standard deviations of FY-4A temperature and radiosonde are different at different heights in the whole layer, the deviation is between -0.31 and 3.60℃. When there are clouds, the mean deviation between FY-4A temperature and that of microwave radiometer is -0.40℃, and the mean standard deviation is 3.79℃. The overall mean deviation between FY-4A temperature and radiosonde is 0.31℃, and the mean standard deviation is 2.66℃. Both the deviation and standard deviation between FY-4A temperature and that of microwave radiometer are larger than those between FY-4A and radiosonde when there are clouds. The deviation and standard deviation of microwave radiometer temperature and that of radiosonde with FY-4A are small in clear sky. The above conclusions can provide reference for the further use of FY-4A satellite data, as well as for the quality control of FY-4A satellite data and its application in weather analysis and forecast. |
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| Keywords: | FY-4A microwave radiometer radiosonde temperature profile deviation characteristics |
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