All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 42 9 1
PDF Downloads 12 3 1

The Conjugate-Gradient Variational Analysis and Initialization Method: An Application to MONEX SOP 2 Data

Mohan K. RamamurthyDepartment of atmospheric Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois

Search for other papers by Mohan K. Ramamurthy in
Current site
Google Scholar
PubMed
Close
and
I. M. NavonDepartment of Mathematics and Supercomputer Computations Research Institute, Florida State University, Tallahassee, Florida

Search for other papers by I. M. Navon in
Current site
Google Scholar
PubMed
Close
Full access

Abstract

A conjugate-gradient variational blending technique, based on the method of direct minimization, has been developed and applied to the problem of initialization in a limited-area model in the summer monsoon region. The aim is to blend gridded winds from a high-resolution limited-area analysis with a lower-resolution global analysis for use in a limited-area model that uses the, global analyst for boundary conditions. The ability of the variational matching approach in successfully blending meteorological analyses of varying resolutions is demonstrated. Reasonable agreement is found between the blended analyses and the imposed weak constraints, together with an adequate rate of convergence in the unconstrained minimization procedure. The technique is tested on the 1979 onset vortex vortex case using data from the FGGE Summer MONEX campaign. The results indicate that the forecasts made from the variationally matched analyses show positive impact and perform better than those from the unblended analyses.

Abstract

A conjugate-gradient variational blending technique, based on the method of direct minimization, has been developed and applied to the problem of initialization in a limited-area model in the summer monsoon region. The aim is to blend gridded winds from a high-resolution limited-area analysis with a lower-resolution global analysis for use in a limited-area model that uses the, global analyst for boundary conditions. The ability of the variational matching approach in successfully blending meteorological analyses of varying resolutions is demonstrated. Reasonable agreement is found between the blended analyses and the imposed weak constraints, together with an adequate rate of convergence in the unconstrained minimization procedure. The technique is tested on the 1979 onset vortex vortex case using data from the FGGE Summer MONEX campaign. The results indicate that the forecasts made from the variationally matched analyses show positive impact and perform better than those from the unblended analyses.

Save