| 大气相对湿度资料融合及融合湿度精度检验——基于2013年1月我国中东部地区卫星和探空相对湿度数据 |
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| 引用本文： | 陶听,牛涛,韩永翔.大气相对湿度资料融合及融合湿度精度检验——基于2013年1月我国中东部地区卫星和探空相对湿度数据[J].气候与环境研究,2016,21(1):29-40. |
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| 作者姓名： | 陶听 牛涛 韩永翔 |
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| 作者单位： | 南京信息工程大学大气物理学院, 南京 210044,中国气象科学研究院大气成分研究所, 北京 100081,南京信息工程大学大气物理学院, 南京 210044 |
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| 基金项目： | 国家重点基础研究发展计划(973计划)项目2011CB403404,国家科技支撑计划项目2014BAC16B03 |
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| 摘 要： | 利用2013年1月MODIS(MODerate-resolution Imaging Spectroradiometer)的大气廓线产品计算得到大气相对湿度廓线,并与探空观测得到的相对湿度资料进行对比,发现总体上MODIS反演的相对湿度高于探空值,且在相对湿度较低区域误差较大;需要剔除有云影响的MODIS数据和相对湿度小于5%的探空数据;用平均值订正法对MODIS数据进行均一性修正,采用直接订正法、最大相关系数法开展MODIS和探空相对湿度资料融合试验,对融合结果进行分析对比和精度检验。结果表明:(1)直接订正法融合湿度在相对湿度较低区域高于探空湿度,在相对湿度较高区域低于探空湿度,最大相关系数法融合湿度在高湿区和低湿区均与探空接近;(2)融合结果精度检验表明,直接订正法融合湿度与探空湿度的平均绝对误差在850 hPa不超过10%,在925 hPa不超过12%,在1000 hPa不超过9%;采用最大相关系数法融合得到的相对湿度值在各层与探空湿度的绝对误差均不超过4%。总体来看最大相关系数法比直接订正法融合效果更好。
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| 关 键 词： | 探空 MODIS 相对湿度 资料融合 融合检验 |
| 收稿时间： | 2015/2/16 0:00:00 |
Methods that Amalgamate Relative Humidity Data and Their Validation, Based on Satellite and Sounding Data for Eastern China in January 2013 |
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| TAO Ting,NIU Tao and HAN Yongxiang.Methods that Amalgamate Relative Humidity Data and Their Validation, Based on Satellite and Sounding Data for Eastern China in January 2013[J].Climatic and Environmental Research,2016,21(1):29-40. |
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| Authors: | TAO Ting NIU Tao and HAN Yongxiang |
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| Institution: | School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044,Institute of Atmospheric Composition, Chinese Academic of Meteorological Sciences, Beijing 100081 and School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044 |
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| Abstract: | By contrasting the atmospheric relative humidity data in January 2013 from sounding to that from the MODIS (MODerate-resolution Imaging Spectroradiometer) atmospheric profile product, it is found that MODIS relative humidity data are higher than sounding data. Relative humidity data less than 5% from sounding and relative humidity data affected by cloud from MODIS need to eliminate. Before amalgamation, correcting the systematic error by mean revision is necessary. The direct reduction method and maximum correlation coefficient method were used to fuse the two kinds of relative humidity data. Analyzing the fused results and using cross check, the results show that:(1) Relative humidity data from the direct reduction method are higher than those from sounding when in a low relative humidity area, and the opposite when in a high humidity area; relative humidity data from the maximum correlation coefficient method are close to the sounding data in all areas. (2) Compared with sounding data, the error of the amalgamation result generated by the direct reduction method is no more than 10% at 850 hPa, no more than 12% at 925 hPa, and no more than 9% at 1000 hPa; the error of the amalgamation result generated by the maximum correlation coefficient method is no more than 4% at all levels. Overall, the maximum correlation coefficient method is better than the direct reduction method. |
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| Keywords: | Sounding MODIS Relative humidity Amalgamation Validation |
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