Identifying Low-Dimensional Nonlinear Behavior in Atmospheric Data.

Saved in:
Bibliographic Details
Title: Identifying Low-Dimensional Nonlinear Behavior in Atmospheric Data.
Authors: Patil, D. A. S., Hunt, Brian R., Carton, James A.
Source: Monthly Weather Review. Aug2001, Vol. 129 Issue 8, p2116. 10p. 1 Color Photograph, 2 Diagrams, 3 Graphs.
Subjects: Statistical maps, Atmosphere, Analytical chemistry
Abstract: Provides concrete applications of residual delay maps (RDM) for the analysis of atmospheric data. RDM formulation; Primary uses for RDM; Importance of the short-term predictive model used to calculate the RDM.
Database: Engineering Source
Description
Abstract:Provides concrete applications of residual delay maps (RDM) for the analysis of atmospheric data. RDM formulation; Primary uses for RDM; Importance of the short-term predictive model used to calculate the RDM.
ISSN:00270644
DOI:10.1175/1520-0493(2001)129<2116:ILDNBI>2.0.CO;2