基于岸基实测数据的FY-3A近红外通道海洋大气水汽反演

利用全自动太阳光度计（CE-318）野外定点长时间序列现场观测数据,验证传统大气水汽反演算法,结果表明,反演结果精度较低,不适于该研究区域大气水汽含量反演.因而给出了近红外波段大气水汽含量探测的原理,对自主卫星FY-3A中分辨率成像光谱仪MERSI（Medium Resolution Spectral Imager）反演大气水汽含量算法作了推导、分析.基于长时间序列现场观测数据集,建立了局地化的FY-3A海洋大气水汽反演算法,并用于研究区实际大气水汽含量反演.通过双通道比值法和三通道比值法反演结果与现场实测数据比较,得出以下结论：模型受下垫面反射率影响较大;三通道比值法较双通道比值法反演结果精...

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Bibliographic Details
Published in红外与毫米波学报 Vol. 31; no. 6; pp. 550 - 555
Main Author 王祥 赵冬至 苏岫 杨建洪 马玉娟
Format Journal Article
LanguageChinese
Published 大连海事大学 环境科学与工程学院,辽宁 大连 116026 2012
中国海洋大学 海洋环境学院,山东 青岛 266100
国家海洋环境监测中心,辽宁 大连 116023%国家海洋环境监测中心,辽宁 大连,116023%国家海洋环境监测中心,辽宁 大连 116023
Subjects
中分辨率成像光谱仪（MERSI）
大气水汽含量
近红外
通道比值法
大气水汽含量
中分辨率成像光谱仪(MERSI)
通道比值法
近红外
Online AccessGet full text
ISSN1001-9014
DOI10.3724/SP.J.1010.2012.00550

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Summary:利用全自动太阳光度计（CE-318）野外定点长时间序列现场观测数据,验证传统大气水汽反演算法,结果表明,反演结果精度较低,不适于该研究区域大气水汽含量反演.因而给出了近红外波段大气水汽含量探测的原理,对自主卫星FY-3A中分辨率成像光谱仪MERSI（Medium Resolution Spectral Imager）反演大气水汽含量算法作了推导、分析.基于长时间序列现场观测数据集,建立了局地化的FY-3A海洋大气水汽反演算法,并用于研究区实际大气水汽含量反演.通过双通道比值法和三通道比值法反演结果与现场实测数据比较,得出以下结论：模型受下垫面反射率影响较大;三通道比值法较双通道比值法反演结果精度更高,双通道比值法误差为16.1%,三通道比值法误差为14.3%;实测数据验证和改进后算法精度更高.
Bibliography:near infrared; precipitable water vapor; medium resolution spectral imager（MERSI）; channel ratio method
31-1577/TN
Traditional method for retrieving precipitable water vapor was evaluated with the data obtained from series of long time in-situ measurements of CE-318.The results show that the method has a low accuracy and is not suitable for applications over this region.In this paper,the theory of precipitable water vapor detection with NIR channels was introduced.Equations of precipitable water vapor remote sensing were derived and analyzed.Retrieving method for FY-3A/MERSI（Medium Resolution Spectral Imager）was proposed.Comparing with the results of CE-318 in-situ measurements in the studied area,it was concluded that precision of the method relied so much on reflectance of the underlying surface.The method of three-channel ratio had better performance than that of two-channel ratio by reducing the errors from 16.1% to 14.3%.
WANG Xiang,ZHAO Dong-Zhi,SU Xiu,YANG Jian-Hong,MA Yu-Juan,（1.College of Environment En
ISSN:1001-9014
DOI:10.3724/SP.J.1010.2012.00550