Title :
Neural network for the satellite retrieval of precipitable water vapor over land
Author :
Mattioli, Vinia ; Bonafoni, Stefania ; Basili, Patrizia ; Carlesimo, G. ; Ciotti, Piero ; Pulvirenti, L. ; Pierdicca, N.
Author_Institution :
Dept. of Electron. & Inf. Eng., Univ. of Perugia, Perugia, Italy
Abstract :
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.
Keywords :
atmospheric boundary layer; atmospheric humidity; atmospheric precipitation; atmospheric techniques; microwave measurement; neural nets; radiometry; AMSR-E; Advanced Microwave Scanning Radiometer; Aqua satellite; ECMWF IPWV data; Earth Observing System; Italy; brightness temperature; multilayer neural network; precipitable water vapor; satellite retrieval; Artificial neural networks; Global Positioning System; Microwave measurements; Microwave radiometry; Ocean temperature; Satellite broadcasting; Satellites; Precipitable water vapor; microwave radiometer; neural network;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5650528
