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基于MODIS数据的青藏高原遥感云量重构

Reconstruction of Remote Sensing Cloud Cover over TibetanPlateau based on MODIS Data
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摘要 云是影响青藏高原能量平衡和地气过程的关键参量之一,研究高原的云量对探讨青藏高原的气候变化具有重要意义。采用2001~2020年的MODIS总云量数据与ERA5、CRA40两套再分析资料的总云量数据,以3~11月份MOD06云量资料为真值,评价不同再分析资料在青藏高原的适用性。利用改进自编码器模型,基于ERA5和MOD06重构了1950~2020年的3~11月的高原云量。结果表明:在高原地区,ERA5的云量值偏高,而CRA40云量值偏低,且ERA5与MOD06的相关性明显优于CRA40与MOD06的相关性;通过相关系数、偏差、平均绝对误差、均方根误差四种评价指标,发现改进自编码器模型在重构云量方面具有良好的效果,且能模拟出青藏高原云量的变化趋势,为研究青藏高原地区云量时空演变规律提供了可靠的长时序数据。 The Tibetan Plateau(TP),with its unique climate characteristics and geographical pattern,plays an important role in global climate change.As an important part of the earth atmosphere system,cloud is key to affecting climate change.Cloud cover can more directly reflect the change of cloud.Therefore,it is of great significance to reconstruct a cloud cover product with longer time series and higher accuracy in the TP.In this paper,Considering the complex underlying surface types and geographical elevations in the TP,We select the cloud cover of MOD06,ERA5 and CRA40 from 2001 to 2020.We take the cloud cover of MOD06 from March to November as the true value and evaluate the applicability of the two reanalysis data in the TP through methods such as climate tendency rate and correlation coefficient.Based on ERA5 and MOD06,the improved auto-encoder model is used to reconstruct the cloud cover of the plateau from March to November of 1950 to 2020.The results show that the cloud cover of ERA5 is higher than that of MOD06,while that of CRA40 is lower than that of MOD06,and the correlation between ERA5 and MOD06 is obviously better than that between CRA40 and MOD06;The improved auto-encoder model evaluated by four evaluation indicators of correlation coefficient(R),bias,Mean Absolute Error(MAE)and Root Mean Square Error(RMSE)has a good effect on cloud amount reconstruction.The correlation coefficient between cloud amount reconstructed by the improved autoencoder model and MOD06 cloud amount data increases by more than 20%on average from March to November,and can simulate the change trend of cloud amount over the TP.The results provide reliable long time series data for studying the temporal and spatial evolution of cloud cover over the TP.
作者 周厚瑀 董庆 孟德利 赵文博 边民 ZHOU Houyu;DONG Qing;MENG Deli;ZHAO Wenbo;Bian Min(Laboratory of Digital Earth Science,Aerospace Information Research Institute,CAS,Beijing 100094 China;University of Chinese Academy of Sciences,Beijing 100049,China;Key Laboratory of Target Microwave Properties of Zhejiang,Deqing Academy of Satellite Applications,Huzhou 313200,China)
出处 《遥感技术与应用》 CSCD 北大核心 2023年第5期1136-1147,共12页 Remote Sensing Technology and Application
基金 国家自然科学基金项目“基于遥感数据的印太暖池区近30a海洋环境参数变化研究”(41876210)。
关键词 青藏高原 云量 MODIS 再分析资料 数据重构 自编码器 Tibetan Plateau(TP) Cloud over MODIS Reanalysis data Data reconstruction Auto-encoder
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