NEURAL NETWORK FOR THE SATELLITE RETRIEVAL OF PRECIPITABLE WATER VAPOR OVER LAND

被引：2

作者：

Mattioli, Vinia ^{[1
]}

Bonafoni, Stefania ^{[1
]}

Basili, Patrizia ^{[1
]}

Carlesimo, G. ^{[2
]}

Ciotti, Piero ^{[2
]}

Pulvirenti, L. ^{[3
]}

Pierdicca, N. ^{[3
]}

机构：

[1] Univ Perugia, Elect & Informat Engn Dept, I-06100 Perugia, Italy

[2] Univ Laquila, Elect & Informat Engn Dept, Laquila, Italy

[3] Univ Roma La Sapienza, Dept Elect Engn, Rome, Italy

来源：

2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2010年

关键词：

Precipitable water vapor; microwave radiometer; neural network; SURFACE; SSM/I; EMISSIVITY;

D O I：

10.1109/IGARSS.2010.5650528

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

A multilayer neural network has been developed to retrieve IPWV over land from brightness temperatures measured by the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) on board the Aqua satellite. Our study was optimized over two areas in Northern and Central Italy. Good agreements on the order of 0.24 cm and 0.33 cm rms, respectively, were found between neural network retrievals and ECMWF IPWV data for clear-sky. In the presence of clouds, an rms of the order of 0.38 cm was found for both areas.

引用

页码：2960 / 2963

页数：4

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