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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Retrieval of outgoing longwave radiation at top-of-atmosphere using Himawari-8 AHI data
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Retrieval of outgoing longwave radiation at top-of-atmosphere using Himawari-8 AHI data

机译:使用HIMAWARI-8 AHI数据在大气中的外向宽波辐射的检索

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AbstractThis study proposes an algorithm to retrieve the outgoing longwave radiation at the top of the atmosphere (TOA OLR) using the advanced Himawari imager (AHI) unit that is a narrowband sensor installed in Himawari-8, a geostationary satellite providing window and water vapor imagery. The outgoing longwave radiation at the top of the atmosphere (TOA OLR) was retrieved by an empirical method where a radiative transfer model (RTM) was used to simulate various atmospheric conditions, such as the surface temperature, water vapor, and cloud characteristics (e.g., cloud optical thickness and cloud height). The results of an algorithm using a single channel (OLR12.4) and two channels (OLR6.2+12.4) were converted into Terra Cloud and Earth's Radiant Energy System (CERES) TOA OLR for the daytime (0105–0135 UTC) and nighttime (1325–1355 UTC) cases of a scene analysis (typhoon Goni on August 18, 2015). Long-term analysis (August 2015–July 2016) and statistical analysis (i.e., mean, bias, root mean square error (RMSE), and correlation coefficient) were conducted. The analysis results showed that the largest error was produced in the cloudy areas (overcast areas), and the minimum RMSE and a high correlation coefficient were observed over an ocean area. In the scene analysis, however, the daytime and nighttime average RMSE of the CERES TOA OLR and OLR6.2+12.4was 12.21Wm?2and showed the correlation coefficient of 0.971. It was an improved result over the RMSE (12.33Wm?2) and correlation coefficient (0.967) shown in the analysis of OLR
机译:<![cdata [ 抽象 本研究提出了一种使用该算法来检索大气顶部(TOA OLR)的输出长波辐射先进的HIMAWARI IMAGER(AHI)单元是一个安装在HIMAWARI-8中的窄带传感器,是一个地静止卫星提供窗口和水蒸气图像。通过使用辐射转移模型(RTM)模拟各种大气条件(例如表面温度,水蒸气和云特性)的经验方法检索大气层顶部(TOA OLR)的外向的长波辐射。 ,云光学厚度和云高度)。使用单个通道的算法(OLR 12.4 )和两个通道(OLR 6.2 + 12.4 )转换为Terra云和地球辐射能量系统(CERES)TOA OLR,用于白天(0105-0135 UTC)和夜间(1325-1355 UTC)场景分析案例(2015年8月18日的台风GONI) 。长期分析(2016年8月至2016年7月)和统计分析(即,平均值,偏置,均方根误差(RMSE)和相关系数)进行。分析结果表明,在多云区域(阴云密布区域)中产生最大的误差,并且在海洋区域观察到最小RMSE和高相关系数。然而,在场景分析中,CERES TOA OLR和OLR的白天和夜间平均RMSE 6.2 + 12.4 为12.21WM 2 并显示相关系数0.971。它是一种改进的RMSE结果(12.33WM ?2 )和相关系数(0.967)所示的olr

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