Title :
Climatology databases using neural networks: Application to global temperature profiles
Author_Institution :
German Aerosp. Center (DLR), Wessling
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;
Conference_Titel :
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1820-6
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2008.4634259
