Empirical Correlation Weighting (ECW) Spatial Interpolation Method for Satellite Aerosol Optical Depth Products by MODIS AOD over Northern China in 2016
Empirical Correlation Weighting (ECW) Spatial Interpolation Method for Satellite Aerosol Optical Depth Products by MODIS AOD over Northern China in 2016
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DOI：
10.3390/rs15184462
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发表时间：
2023-09
期刊：
影响因子：
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通讯作者：
Yang Wang;Xianmei Zhang;Pei Zhou;Meng Fan
中科院分区：
文献类型：
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作者：
Yang Wang;Xianmei Zhang;Pei Zhou;Meng Fan
卫星气溶胶产品在区域空气质量和全球气候变化研究中至关重要。与精确的现场观测相比，卫星测量提供了宝贵的大尺度大气信息。然而，云和反演假设等限制导致大量的卫星气溶胶光学厚度（AOD）产品的缺失值，这严重影响了代表性。为了解决这个问题，有必要对AOD数据进行空间插值，以提高数据覆盖率。利用一年的MODIS C6. 1气溶胶光学厚度观测数据，分析了气溶胶光学厚度的时空相关特征。基于2016年中国北方地区MODIS气溶胶光学厚度数据，将统计参数作为动态插值权重，提出了一种新的插值方法-经验相关加权法（ECW）。ECW内插结果以0.05°分辨率（~5 km）获得。结果表明，深蓝（DB）和暗目标（DT）产品的空间覆盖率分别从43.88%和15.04%增加到70.65%和32.62%。重建的ECW方法示出了良好的协议与原始值在三个情况下，在两个实验区。两个实验的平均绝对误差（MAE）和均方根误差（RMSE）分别为0.1171和0.0809，0.1212和0.0838，表明ECW具有比普通Kriging（OK）和薄板样条（TPS）更好的精度。AERONET的验证结果表明，插值后的RMSE和MAE值略高于插值前，保持相对较低的值，分别为0.241和0.257，0.140和0.150。
Satellite aerosol products are pivotal in studies of regional air quality and global climate change. Compared with accurate in situ observations, satellite measurements provide valuable large-scale atmospheric information. However, limitations such as clouds and retrieval assumptions result in a significant number of missing values in satellite aerosol optical depth (AOD) products, which severely hampers the representativeness. To address this issue, spatial interpolation of the AOD data is necessary to improve data coverage. In this study, one year of AOD observation data from the MODIS C6.1 version was applied to analyze the spatiotemporal correlated characteristics. The statistical parameters were used as dynamic interpolation weights to develop a novel interpolation method called empirical correlation weighting (ECW) based on MODIS AOD over Northern China in 2016. The ECW interpolation results were obtained at a 0.05° resolution (~5 km). The results showed that the spatial coverage of the Deep Blue (DB) and Dark Target (DT) products increased from 43.88% to 70.65% and from 15.04% to 32.62%, respectively. The reconstruction of the ECW method illustrated good agreement with original values in three cases and in two experimental areas. The mean absolute error (MAE) and root mean square error (RMSE) in the two experiments were 0.1171 and 0.0809, and 0.1212 and 0.0838, respectively, indicating that the ECW exhibited the better accuracy than ordinary Kriging (OK) and Thin Plate Spline (TPS). The AERONET validation results indicated that the values of RMSE and MAE were slightly higher after interpolation compared with those before interpolation, maintaining relatively low values, 0.241 and 0.257, 0.140 and 0.150, respectively.