Downscaling GCMs using the Smooth Support Vector Machine method to predict daily precipitation in the Hanjiang Basin
Author:
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
http://link.springer.com/content/pdf/10.1007/s00376-009-8071-1.pdf
Reference49 articles.
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3. Campolo, M., P. Andreussi, and A. Soldati, 1999: River flow forecasting with a neural network model. Water Resour. Res., 35, 1191–1197.
4. Chen, H., S. L. Guo, C-Y. Xu, and V. P. Singh, 2007: Historical temporal trends of hydro-climatic variables and runoff response to climate variability and their relevance in water resource management in the Hanjiang basin. J. Hydrol., 334, 171–184.
5. Conway, D., R. L. Wilby, and P. D. Jones, 1996: Precipitation and air flow indices over the British Isles. Climate Research, 7(2), 169–183.
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