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首页> 外文期刊>Remote Sensing >Using the Himawari-8 AHI Multi-Channel to Improve the Calculation Accuracy of Outgoing Longwave Radiation at the Top of the Atmosphere
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Using the Himawari-8 AHI Multi-Channel to Improve the Calculation Accuracy of Outgoing Longwave Radiation at the Top of the Atmosphere

机译:使用Himawari-8 AHI多通道提高大气层顶部长波辐射的计算精度

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In this study, Himawari-8 Advanced Himawari Imager (AHI) longwave channel data that is sensitive to clouds and absorption gas were used to improve the accuracy of the algorithm used to calculate outgoing longwave radiation (OLR) at the top of the atmosphere. A radiative transfer model with a variety of atmospheric conditions was run using Garand vertical profile data as input data. The results of the simulation showed that changes in AHI channels 8, 12, 15, and 16, which were used to calculate OLR, were sensitive to changes in cloud characteristics (cloud optical thickness and cloud height) and absorption gases (water vapor, O 3 , CO 2 , aerosol optical thickness) in the atmosphere. When compared to long-term analysis OLR data from 2017, as recorded by the Cloud and Earth’s Radiant Energy System (CERES), the OLR calculated in this study had an annual mean bias of 2.28 Wm ?2 and a root mean square error (RMSE) of 11.03 Wm ?2 . The new calculation method mitigated the problem of overestimations in OLR in mostly cloudy and overcast regions and underestimated OLR in cloud-free desert regions. It is also an improvement over the result from the existing OLR calculation algorithm, which uses window and water vapor channels.
机译:在这项研究中,使用了对云和吸收气体敏感的Himawari-8 Advanced Himawari Imager(AHI)长波通道数据,以提高用于计算大气层顶部长波辐射(OLR)的算法的准确性。使用Garand垂直剖面数据作为输入数据,运行了具有多种大气条件的辐射传递模型。仿真结果表明,用于计算OLR的AHI通道8、12、15和16的变化对云特征(云光学厚度和云高度)和吸收气体(水蒸气,O在大气中为3(CO 2,气溶胶光学厚度)。与云和地球辐射能系统(CERES)记录的2017年长期分析OLR数据相比,本研究计算的OLR的年平均偏差为2.28 Wm?2,均方根误差(RMSE) )11.03 Wm?2。新的计算方法缓解了大部分多云和阴天地区OLR的高估问题,以及无云沙漠地区OLR的低估问题。这也是对使用窗口和水蒸气通道的现有OLR计算算法的结果的改进。

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