Open AccessSpatial Interpolation of Surface Air Temperatures Using Artificial Neural Networks: Evaluating Their Use for Downscaling GCMs
Author(s) -
Seth E. Snell,
Sucharita Gopal,
Robert K. Kaufmann
Publication year - 2000
Publication title -
journal of climate
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.315
H-Index - 287
eISSN - 1520-0442
pISSN - 0894-8755
DOI - 10.1175/1520-0442(2000)013<0886:siosat>2.0.co;2
Subject(s) - downscaling , benchmark (surveying) , interpolation (computer graphics) , artificial neural network , multivariate interpolation , computer science , gcm transcription factors , environmental science , meteorology , climatology , general circulation model , climate change , precipitation , machine learning , artificial intelligence , geology , geography , geodesy , oceanography , computer vision , bilinear interpolation , motion (physics)