石家庄地区大气水汽的反演模型
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摘要
研究大气水汽的反演及了解其时空变化,对有效评估大气生态服务功能具有重要现实意义。基于石家庄地区CE-318观测的大气水汽数据,结合探空水汽数据和地面水汽压数据,运用传统回归分析、改进型回归分析、分段反演等方法,构建传统回归模型、基于CE-318的大气水汽改进型模型和分季节模型3种大气水汽反演模型,并经过精度对比评估选出适用于研究区的大气水汽最优反演模型。检验结果表明,基于CE-318的大气水汽改进型反演模型的各项精度检验指标均为3个模型中的最佳值,是该地区最优的大气水汽反演模型。
It is of important practical significance for effectively assessing the functions of atmospheric ecological services and strengthening the construction of ecological environment to study the inversion of atmospheric water vapor and understand its spatiotemporal change. Based on the CE-318 observed atmospheric vapor data,sounding data and surface vapor pressure data,the traditional regression model,CE-318-based atmospheric water vapor inversion model and seasonal model were constructed by traditional regression analysis and improved regression analysis. The optimal inversion model of atmospheric vapor over the study area was selected by the accuracy evaluation analysis. The main conclusions are as follows: The inversion results of the three models constructed were all relatively satisfactory,and the inversion results of the atmospheric water vapor inversion model based on CE-318 were the most accurate. Its item inspection indexes were the best values in the accuracy tests of the three models,and the atmospheric water vapor inversion models were optimal for the study area.
It is of important practical significance for effectively assessing the functions of atmospheric ecological services and strengthening the construction of ecological environment to study the inversion of atmospheric water vapor and understand its spatiotemporal change. Based on the CE-318 observed atmospheric vapor data,sounding data and surface vapor pressure data,the traditional regression model,CE-318-based atmospheric water vapor inversion model and seasonal model were constructed by traditional regression analysis and improved regression analysis. The optimal inversion model of atmospheric vapor over the study area was selected by the accuracy evaluation analysis. The main conclusions are as follows: The inversion results of the three models constructed were all relatively satisfactory,and the inversion results of the atmospheric water vapor inversion model based on CE-318 were the most accurate. Its item inspection indexes were the best values in the accuracy tests of the three models,and the atmospheric water vapor inversion models were optimal for the study area.
引文
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[2]王玉丹,陈浩,刘璨然,等.ITPCAS和CMORPH两种遥感降水产品在陕西地区的适用性[J].干旱区研究,2018,35(3):579-588.[Wang Yudan,Chen Hao,Liu Canran,et al.Applicability of ITPCAS and CMORPH precipitation datasets over Shaanxi Province[J].Arid Zone Research,2018,35(3):579-588.]
[3]王永前,施建成,王皓,等.基于多源遥感数据陆面大气水汽反演的物理统计算法研究[J].中国科学:地球科学,2016,46(1):43-56.[Wang Yongqian,Shi Jiancheng,Wang Hao,et al.Physical statistical algorithm for precipitable water vapor inversion on land surface based on multi-source remotely sensed data[J].Scimce China-Earth Sciences,2016,46(1):43-56.]
[4]李慧,杨涛,何祺胜,等.新疆天山山区TRMM卫星降水数据的复合校正方法[J].干旱区研究,2017,34(3):585-590.[Li Hui,Yang Tao,He Qisheng,et al.Composite correction method of TRMM satellite precipitation data in the Tianshan Mountains,Xinjiang[J].Arid Zone Research,2017,34(3):585-590.]
[5]马思琪,周顺武,王毅勇,等.JICA项目地基GPS大气可降水量资料精度检验[J].干旱区研究,2017,34(3):575-584.[Ma Siqi,Zhou Shunwu,Wang Yiyong,et al.Accuracy test of JICAproject ground-based GPS precipitable water vapor[J].Arid Zone Research,2017,34(3):575-584.]
[6]李成,黄秋燕,覃志豪.CE-318太阳光度计及探空数据反演水汽含量与MODIS近红外水汽产品对比[J].地球信息科学学报,2017,19(7):994-1 000.[Li Cheng,Huang Qiuyan,Qin Zhihao.Comparison of water vapor content retrieved by CE-318Sun-photometer,Radiosonde data and MODIS near infrared data[J].Journal of Geo-Information Science,2017,19(7):994-1 000.]
[7]胡秀清,张玉香,黄意玢,等.利用太阳辐射计940 nm通道反演大气柱水汽总量[J].气象科技,2001,29(3):12-17.[Hu Xiuqing,Zhang Yuxiang,Huang Yifen,et al.Inversion of atmospheric column water vapor with 940 nm channel of solar radiometer[J].Meteorological Science and Technology,2001,29(3):12-17.]
[8]申彦波,王炳忠,王香云,等.整层大气水汽含量统计外推方法应用讨论[J].高原气象,2016,35(1):181-187.[Shen Yanbo,Wang Bingzhong,Wang Xiangyun,et al.Discussion on application of statistical extrapolation method for whole integrated water vapor content[J].Plateau Meteorology,2016,35(1):181-187.]
[9]李国翠,李国平,刘凤辉,等.华北地区水汽总量特征及其与地面水汽压关系[J].热带气象学报,2009,25(4):488-494.[Li Guocui,Li Guoping,Liu Fenghui,et al.Characteristics of precipitable water vapor and their relationship with surface vapor pressure in North China[J].Journal of Tropical Meteorology,2009,25(4):488-494.]
[10]王研峰,尹宪志,黄武斌,等.黄土高原半干旱地区大气可降水量研究[J].冰川冻土,2015,37(3):643-649.[Wang Yanfeng,Yin Xianzhi,Huang Wubin,et al.Study of the precipitable water over the semi-arid regions of the Loess Plateau[J].Journal of Glaciology and Geocryology,2015,37(3):643-649.]
[11]姚俊强,杨青,胡文峰,等.天山山区空中水汽含量及与气候因子的关系[J].地理科学,2013,33(7):859-864.[Yao Junqiang,Yang Qing,Hu Wenfeng,et al.Characteristics analysis of water vapor contents around tianshan mountains and the relationships with climate factors[J].Scientia Geographica Sinica,2013,33(7):859-864.]
[12]姚俊强,杨青,黄俊利,等.天山山区及周边地区水汽含量的计算与特征分析[J].干旱区研究,2012,29(4):567-573.[Yao Junqiang,Yang Qing,Huang Junli,et al.Computation and analysis of water vapor content in the tianshan mountains and peripheral regions,China[J].Arid Zone Research,2012,29(4):567-573.]
[13]潘韬,吴绍洪,刘玉洁,等.纵向岭谷区地表大气水汽含量的气候学计算[J].地理科学进展,2012,31(3):293-302.[Pan Tao,Wu Shaohong,Liu Yujie,et al.Climatological calculation of land surface atmospheric water vapor content in longitudinal rangegorge region[J].Progress in Geography,2012,31(3):293-302.]
[14]张丹,刘昌明,付永锋,等.基于MODIS数据的中国地面水汽压模拟与分析[J].资源科学,2012,34(1):74-80.[Zhang Dan,Liu Changming,Fu Yongfeng,et al.Estimation and analysis of near surface vapor pressure in China based on MODIS data[J].Resources Science,2012,34(1):74-80.]
[15]李颖,张俊东,罗鹏.大气可降水量估算模型研究[J].气象与环境科学,2013,36(2):21-25.[Li Ying,Zhang Jundong,Luo Peng.Research on estimation model of atmospheric precipitable water vapor[J].Meteorological and Environmental Sciences,2013,36(2):21-25.]
[16]郭洁,李国平.川渝地区大气可降水量的气候特征以及与地面水汽量的关系[J].自然资源学报,2009,24(2):344-350.[Guo Jie,Li Guoping.Climatic characteristics of precipitable water vapor and relations to surface water vapor column in Sichuan and Chongqing region[J].Journal of Natural Resources,2009,24(2):344-350.]
[17]任宜勇,李霞,吕鸣,等.CE318太阳光度计观测资料应用前景及其解读[J].气象科技,2006,34(3):349-352.[Ren Yiyong,Li Xia,LüMing,et al.Application prospect of measurement by sun photometer CE318 and retrieval methodology[J].Meteorological Science and Technology,2006,34(3):349-352.]
[18]Durre I,Vose R S,Wuertz D B.Overview of the integrated global radiosonde archive[J].Journal of Climate,2006,19(1):53-68.
[19]王炳忠,申彦波.我国上空的水汽含量及其气候学估算[J].应用气象学报,2012,23(6):763-768.[Wang Bingzhong,Shen Yanbo.Atmospheric vapor content over china and its climatological evaluation method[J].Journal of Applied Meteorological Science,2012,23(6):763-768.]