基于GNSS的MODIS大气可降水量校正模型  被引量:6

A correction model for MODIS precipitable water vapor based on GNSS data

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作  者:马赛 岳迎春[1] 上官明 邹玉学 丁茂华 MA Sai;YUE Yingchun;SHANGGUAN Ming;ZOU Yuxue;DING Maohua(School of Geography and Information Engineering,China University of Geosciences,Wuhan 430074;College of Hydraulic Science and Engineering,Yangzhou University,Yangzhou 225009)

机构地区:[1]中国地质大学地理与信息工程学院,武汉430074 [2]扬州大学水利科学与工程学院,扬州225009

出  处:《南京信息工程大学学报(自然科学版)》2021年第2期154-160,共7页Journal of Nanjing University of Information Science & Technology(Natural Science Edition)

基  金:国家自然科学基金(41904023)。

摘  要:MODIS大气可降水量(PWV)空间分辨率高但易受云雨等环境因素影响,精度不高.GNSS PWV空间分辨率较低但具有全天候、不受天气影响、精度高的优点.研究表明两者存在显著的线性相关性,结合两者的优点,基于GNSS PWV校正MODIS PWV可获取大面积高精度的PWV.针对传统的线性回归校正模型没有考虑云、气溶胶等的影响使两种数据线性相关性变差的问题,本文在传统的线性校正模型上增加了使用年积日的非线性周期项的方法来构建校正模型.利用2017-2019年香港地区GNSS对流层延迟与MODIS近红外数据,使用频谱分析线性残差项,结果表明残差具有显著的年周期.对比传统模型,本文模型的平均绝对误差、平均相对误差、均方根误差和拟合度都有明显的改善,表明本文模型可行有效且精度较高.MODIS Precipitable Water Vapor(PWV)has high spatial resolution but is easily affected by environ-mental factors such as clouds and rain,and its accuracy is not high.GNSS PWV has low spatial resolution but has advantages of all-weather,weather-free,and high accuracy.Previous researches have shown a significant linear corre-lation between the two.Combining the advantages of both,correcting MODIS PWV based on GNSS PWV data can obtain PWV for large area with high precision.Yet traditional linear regression correction model does not take into account the deterioration of the linear correlation due to influences from environmental factors such as clouds and aerosols.To address this,a non-linear term of Day of Year is added to traditional linear model thus construct a new correction model.The GNSS tropospheric delay and MODIS near-infrared data in Hong Kong during 2017-2019 are used to verify the proposed correction model,and the result of linear residual spectrum shows a significant annual cycle.Compared with traditional correction model,the new model is significantly improved in aspects of average ab-solute error,average relative error,root mean square error,and fitting,which verifies the new model in feasibility and accuracy for MODIS PWV correction.

关 键 词:全球导航卫星系统(GNSS) MODIS数据 大气可降水量 线性回归 频谱分析 非线性校正模型 

分 类 号:P407[天文地球—大气科学及气象学] P426

 

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