| FY-3A陆表温度反演及高温天气过程动态监测 |
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| 引用本文： | 董立新,杨虎,张鹏,唐世浩,陆其峰.FY-3A陆表温度反演及高温天气过程动态监测[J].应用气象学报,2012,23(2):214-222. |
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| 作者姓名： | 董立新 杨虎 张鹏 唐世浩 陆其峰 |
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| 作者单位： | 中国遥感卫星辐射测量与定标重点开放实验室 国家卫星气象中心, 北京 100081 |
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| 基金项目： | 公益性行业(气象)科研专项“主要农作物生长参数与环境参数遥感定量反演优化技术研究”(GYHY20090602201)，十一五科技支撑计划重点项目“支撑沙尘暴定量遥感和模式预报技术改进的综合观测”(2008BAC40B05) |
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| 摘 要： | 采用FY-3A/VIRR数据，利用Becker局地分裂窗改进算法反演得到逐日陆表温度 (LST), 对2009年一次高温天气过程进行动态监测, 并分析不同下垫面的热环境变化。结果显示:此过程中可见光红外扫描辐射计 (VIRR) 陆表温度产品在敦煌辐射校正场地两次验证的误差为-0.17 K和1.77 K，与同时间过境的MODIS产品均方根误差为2.64 K，直方图对比陆表温度的频数分布基本一致；对高温天气过程监测发现，此次出现以华北的石家庄、郑州、北京等地和西北地区东部的西安等地为中心的两个陆表温度高值区, 部分地区达到了320.2 K以上；城市剖面资料证实城市热岛现象存在，并发现工矿用地的热岛效应不容忽视，主要是大面积的工矿用地周围植被破坏严重，地表增温更为显著。
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| 关 键 词： | FY-3A/VIRR 陆表温度 局地分裂窗算法 高温天气过程 动态监测 |
| 收稿时间： | 2011-04-25 |
| 修稿时间： | 1/9/2012 12:00:00 AM |
Retrieval of Land Surface Temperature and Dynamic Monitoring of a High Temperature Weather Process Based on FY-3A/VIRR Data |
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| Dong Lixin,Yang Hu,Zhang Peng,Tang Shihao and Lu Qifeng.Retrieval of Land Surface Temperature and Dynamic Monitoring of a High Temperature Weather Process Based on FY-3A/VIRR Data[J].Quarterly Journal of Applied Meteorology,2012,23(2):214-222. |
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| Authors: | Dong Lixin Yang Hu Zhang Peng Tang Shihao and Lu Qifeng |
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| Affiliation: | Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center, Beijing 100081 |
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| Abstract: | Split-window algorithm is mainly used for retrieving land surface temperature in thermal infrared remote sensing.Around seventeen algorithms have been published in recent years,but few have been applied to Chinese meteorological satellite data such as FY-3 series.FY-3A,the first of this series is launched from Taiyuan Satellite Launch Centre in China on 27 May,2008.This new generation satellites series provide three dimensional,quantitative,multi spectrum global remote sensing data under all weather conditions, which will greatly help the operational numerical weather prediction,global change research,climate diagnostics and prediction,and natural disasters monitoring.The visible and infrared scanning radiometer (VIRR),medium resolution spectral imager(MERSI) and microwave imaging instrument (MWRI) aboard this satellite can all be used for retrieving the land surface temperature(LST) and monitoring the process of high temperature weather. Daily LST products are retrieved by the improved Becker algorithm using the FY-3A/VIRR data.And the first process of high temperature weather in 2009 is monitored and the changes of thermal environment in different land types are analyzed.First,a modified Becker’s split window retrieval algorithm is developed using VIRR thermal infrared spectral response function for retrieving LST from the FY-3A/VIRR data. A new set of parameters for Becker’s LST algorithm is proposed.The algorithm is developed from a surface brightness temperature dataset generated from the MODTRAN program,which uses a range of surface parameters(294.2 K,294.2 K±5 K,272.2 K,272.2 K±5 K,287.2 K,287.2 K±5 K,288.2 K, 288.2 K±5 K) and four kinds of atmospheric model(mid-latitude summer atmosphere,mid-latitude winter atmosphere,sub-polar summer atmosphere and American standard atmosphere 1972) as inputs.The daily brightness temperature data of the Channel 4 and Channel 5 of FY-3A/VIRR(1-km resolution) are used to generate the model parameters of Becker’s split window inversion algorithm.Second,as a validation of the algorithm,the retrieved VIRR LST is compared with the instrument measurement data in satellite transit period in Dunhuang radiometric calibration and validation test site and MODIS LST of the same period and area.The results show that the error of LST products is—0.17 K and 1.77 K by two validations in Dunhuang site.The two LST products are found to be consistent,and the root mean square error between FY3A LST and MODIS LST is 2.64 K.By histogram comparison,the two frequency distributions show no difference.Finally,the retrieved daily FY-3A LST is applied to monitor the first high temperature weather process in 2009,indicating two high-value regions;North China(Shijiazhuang,Zhengzhou,Beijing,etc.) and Northwest Territories(Xi’an,etc.).Land surface temperature in some regions exceeds 320.2 K. There are some spatial distribution differences in different urban land types.The profile data of VIRR LST in main cities verify the existence of the phenomenon of urban heat island.And the heat island of industrial mining land is reflected especially clearly in the LST spatial distribution because the vegetation around the industrial mining land is destroyed seriously. These results show VIRR LST production meet the real-time demand of operation.This also would provide scientific basis data for further study of local climate change,and greatly help the operational numerical weather prediction and global change research. |
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| Keywords: | FY-3A/VIRR LST split-window algorithm process of high temperature weather dynamic monitoring |
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