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Please use this identifier to cite or link to this item: http://hdl.handle.net/2014/38197

Title: An analytical upper-bound on the benefits of short-term weather forecasting for Ka-band (32 GHz)
Authors: Shambayati, Shervin
Keywords: weather forecasting
Ka-band
Issue Date: Mar-2004
Publisher: Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2004.
Citation: IEEE Aerospace Conference, Big Sky, MT, March 6, 2004
Abstract: In this paper, an analytical method for comparing the performance of an ideal forecasting algorithm to the best statistical methods in terms of average data return is derived.
URI: http://hdl.handle.net/2014/38197
Appears in Collections:JPL TRS 1992+

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