DocumentCode
2961849
Title
Climatology databases using neural networks: Application to global temperature profiles
Author
Loyola R, D.G.
Author_Institution
German Aerosp. Center (DLR), Wessling
fYear
2008
fDate
1-8 June 2008
Firstpage
3247
Lastpage
3252
Abstract
Climatology databases containing geophysical parameters such as temperature, precipitation, ozone, surface albedo, cloud information, etc., are widely used in remote sensing, atmospheric, oceanographic, climate research, and operational environmental forecasting communities.
Keywords
atmospheric techniques; climatology; database management systems; environmental engineering; geophysics computing; neural nets; oceanographic techniques; remote sensing; atmospheric climate research; climatology databases; geophysical parameters; global temperature profiles; neural networks; oceanographic climate research; operational environmental forecasting; remote sensing; Databases; Neural networks; Temperature;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location
Hong Kong
ISSN
1098-7576
Print_ISBN
978-1-4244-1820-6
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2008.4634259
Filename
4634259
Link To Document