A Scheme for Objective Analysis of Wind Field Incorporating Multi—Weighting Functions in the Optimum Interpolation Method

1989 ◽  
Vol 6 (4) ◽  
pp. 435-446 ◽  
Author(s):  
S. K. Sinha ◽  
D. R. Talwalkar ◽  
S. G. Narkhedkar ◽  
S. Rajamani
Keyword(s):  
Wind Field ◽  
Interpolation Method ◽  
Objective Analysis ◽  
Weighting Functions ◽  
Optimum Interpolation

A Flow-Condition-Based Interpolation Method Combined with Splitting Algorithm for Wind Field Calculation

2013 ◽  
Vol 671-674 ◽  
pp. 1578-1582
Author(s):  
Bo Su ◽  
Xiang Ke Han
Keyword(s):  
Wind Field ◽  
Flow Condition ◽  
Interpolation Method ◽  
Solution Procedure ◽  
Field Calculation ◽  
Splitting Algorithm ◽  
One Dimensional ◽  
Advection Diffusion Equation ◽  
Finite Element Procedure ◽  
Interpolation Functions

Wind field calculation is a research focus for wind disaster prevention in Civil Engineering. A new finite element procedure using flow-condition-based interpolation method combined with splitting algorithm is proposed in the paper. It used the analytical solution of one-dimensional advection–diffusion equation, and naturally introduced upwind effect in element interpolation functions. Further, combined with splitting algorithm, the element interpolation functions of velocity and pressure have concise format without meet Babuska-Brezzi condition. A two dimension four-node bilateral fluid element was constructed using flow-condition-based interpolation method and a corresponding program was developed. The solution procedure was discussed in detail and the numerical example solution was given to illustrate the capabilities of the procedure

The Impact of Synoptic Observing and Analysis Systems on Flow Pattern Forecasts

1976 ◽  
Vol 57 (10) ◽  
pp. 1225-1240 ◽  
Author(s):  
Norman A. Phillips
Keyword(s):  
Negative Impact ◽  
Positive Impact ◽  
Interpolation Method ◽  
Forecast Error ◽  
Observational Error ◽  
Optimum Interpolation ◽  
Error Covariance ◽  
Analysis Scheme ◽  
Observational Errors ◽  
The Impact

A linear dynamical prediction model is combined with a linear analysis scheme to give a formula for the expected squared forecast error, as a function of space and time, given a knowledge of observational error covariance and spectrum of the true field. The formula is applied with a two-layer geostrophic model to estimate the maximum impact of tropospheric temperatures derived from satellite radiances over oceanic areas on the accuracy of 500 mb forecasts over North America. The results show a positive impact if the observations are analyzed by an unrealistically efficient optimum interpolation method, but they show a negative impact at all but the smallest satellite error values if the observations are analyzed by a method that ignores observational errors. Eight conclusions are reached concerning routine numerical forecasts and the First GARP Global Experiment.

Impact of Monex-79 data on the objective analysis of the wind field over the Indian region

1982 ◽  
Vol 120 (3) ◽  
pp. 422-436 ◽  
Author(s):  
S. Rajamani ◽  
D. R. Talwalkar ◽  
P. U. Upasani ◽  
D. R. Sikka
Keyword(s):  
Wind Field ◽  
Indian Region ◽  
Objective Analysis
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