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Patent Searching and Data


Title:
STATISTICAL PREDICTION FUNCTIONS FOR NATURAL CHAOTIC SYSTEMS SUCH AS GLOBAL CLIMATE MODEL
Document Type and Number:
WIPO Patent Application WO/2012/047874
Kind Code:
A3
Abstract:
Embodiments generally relate to methods of accurately predicting seasonal fluctuations in precipitation or other approximate functionals of a climate state space, such as the number of heating or cooling degree days in a season, maximum river flow rates, water table levels and the like. In one embodiment, a method for predicting climate comprises: deriving a climate attractor from a global climate model, wherein a tuning parameter for the climate attractor comprises a value of total energy for moving air and water on the earth's surface; estimating a predictive function for each of a plurality of computational cells within the global climate model; and predicting an approximate climate functional of interest for a given specific location utilizing a combination of the predictive functions from each of the plurality of computational cells geographically proximate the location, where at all stages, predictive functions are selected in part by comparison to historical data.

Inventors:
LUVALLE MICHAEL (US)
Application Number:
PCT/US2011/054748
Publication Date:
May 24, 2012
Filing Date:
October 04, 2011
Export Citation:
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Assignee:
OFS FITEL LLC (US)
LUVALLE MICHAEL (US)
International Classes:
G01W1/10
Foreign References:
US20040143396A12004-07-22
US20070168155A12007-07-19
US20080167822A12008-07-10
Other References:
FRAEDRICH: "Estimating the Dimensions of Weather and Climate Attractors", 1986 AMERICAN METEOROLOGICAL SOCIETY, 1 March 1986 (1986-03-01), Retrieved from the Internet [retrieved on 20120201]
BARSUGLI ET AL.: "Options for Improving Climate Modeling to Assist Water Utility Planning for Climate Change Final Report", 4 September 2009 (2009-09-04), Retrieved from the Internet [retrieved on 20120202]
SMITH ET AL.: "Improved Surface Temperature Prediction for the Coming Decade from a Global Climate Model", SCIENCE, vol. 317, 10 August 2007 (2007-08-10), Retrieved from the Internet [retrieved on 20120202]
Attorney, Agent or Firm:
LAFEIR, Ann, M. et al. (LLCIntellectual Property Law Division,2000 Northeast Expresswa, Norcross GA, US)
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