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针对HJ-1B红外相机只有一个热红外通道的特点,本文利用大气辐射传输模型模拟和统计回归方法,发展了一个利用HJ-1B辐射亮温和大气水汽含量反演高分辨率大气下行长波辐射的参数化模型.为了分析模型的适宜性和误差来源,利用模拟数据对模型进行了精度评价,结果表明模型在大多数气候条件下反演结果较好,但在大气水汽含量较高时存在低估现象.误差分析表明,大气水汽含量、传感器辐射亮度、地表与大气的温差等方面的不确定性会对反演结果产生一定的影响.利用2009~2010年HJ-1B数据反演得到黑河流域和海河流域的瞬时下行长波辐射,并利用6个站点的地面观测数据对反演结果进行了验证.结果表明,除花寨子荒漠站外,其他各站点反演值与实测值的一致性较好,均方根误差在20W/m2左右,略好于MODIS数据的反演结果.花寨子站夏季时存在较多的高估现象,主要由地气温差过大引起,经过地气温差校正后,结果得到明显改善.
In view of the characteristics of HJ-1B infrared camera with only one thermal infrared channel, this paper uses atmospheric radiation transmission model simulation and statistical regression method to develop a parameter that uses the bright and mild atmospheric water vapor content of HJ-1B to retrieve longwave long-wave radiation in high-resolution atmosphere In order to analyze the suitability of the model and the source of error, the accuracy of the model was evaluated by simulation data. The results show that the inversion results are good under most climatic conditions, but underestimated when the water vapor content is high. The error analysis shows that the uncertainty of the water vapor content, the brightness of the sensor and the temperature difference between the surface and the atmosphere will have an impact on the inversion results. Using the HJ-1B data from 2009 to 2010, the Heihe River Basin and the Haihe River Basin And the ground observation data of 6 stations are used to verify the inversion results.The results show that the inversion values at all other stations except Huazhaizi Desert Station are in good agreement with the measured values, The root error is about 20W / m2, which is slightly better than the inversion results of MODIS data. There are many over-estimation phenomena in Huazhai Substation in summer, Difference caused by excessive, the temperature difference after correction, results significantly improved.