MERRA-2型AOD产品在东海和南海的性能

Shunping Chen, Congming Dai, Nana Liu, Wentao Lian, Cong Zhang, F. Wu, Heli Wei
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引用次数: 0

摘要

气溶胶光学深度(AOD)是分析区域气溶胶物理性质的基本参数之一,但在海洋地区尤其缺乏原位观测或遥感AOD数据集。《现代回顾分析研究与应用》第2版(MERRA-2)再分析的时间跨度最长,其在中国海域的准确性有待评价。基于气溶胶机器人网络(AERONET)对MERRA-2 AOD产品在东海和南海的适用性进行了验证。结果表明,1 h时间分辨率MERRA-2 AOD与时间平均AERONET AOD吻合较好,相关系数为0.887,均方根误差(RMSE)为0.096,平均绝对误差(MAE)为0.056。分析还发现,MERRA-2对AOD存在系统性的低估,当AOD较高时,偏差呈增加趋势,线性拟合斜率为-0.26,但由于AOD集中在0.2以下,测试数据的平均偏差(MB)仅为-0.001。这些结果说明了MERRA-2 AOD产品在中国海域气溶胶研究中的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MERRA-2 AOD product performance in Eastern and Southern China Sea
Aerosol optical depth (AOD) is one of the basic parameters used to analyze physical properties of regional aerosols, but the in-situ observation or remote sensing AOD dataset could be scarce especially in ocean area. The Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) reanalysis has the longest temporal span, and its accuracy in China sea area is to be evaluated. This study provides a validation of MERRA-2 AOD products’ applicability in the eastern and southern China sea based on Aerosol Robotic Network (AERONET). The results indicated that the MERRA-2 AOD with 1-hour temporal resolution agreed with the time averaged AERONET AOD well, for its correlation coefficient is 0.887, root mean square error (RMSE) is 0.096, and mean absolute error (MAE) is 0.056. Presented analysis also revealed a systematic underestimation of AOD that MERRA-2 made, and that deviation tended to increase in higher AOD which demonstrated a slope of -0.26 when utilized linear fitting technics, but the mean bias (MB) of test dataset was only -0.001 because the AOD concentrated on lower than 0.2. These results illustrated the suitability of using MERRA-2 AOD product in aerosol researches of the China sea area.
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