By Topic

A hybrid approach to improving rainfall forecasts

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Gainguly, A.R. ; Massachusetts Inst. of Technol., MA

High-resolution rainfall forecasting has important benefits, such as enabling flood prediction, yet little progress has been made toward developing an effective strategy. The hybrid approach presented here combines weather physics, statistics, and artificial neural networks. The strategy is able to draw on all available information, account for and use aspects of the domain physics that are better understood, and exploit the strengths of the available data-dictated tools

Published in:

Computing in Science & Engineering  (Volume:4 ,  Issue: 4 )