Some Experiments with Multivariate Objective Analysis Scheme of Heights and Winds Using Optimum Interpolation

S. K. Sinha; S. G. Narkhedkar; D. R. Talwalkar; S. Rajamani

doi:10.1007/BF02677075

Impact Factor: 5.8

Volume 9 Issue 4

Oct. 1992

Article Contents

Article > ADVANCES IN ATMOSPHERIC SCIENCES > 1992 > 9(4): 431-440

Some Experiments with Multivariate Objective Analysis Scheme of Heights and Winds Using Optimum Interpolation

1.
Indian Institute of Tropical Meteorology, Pune 411008, India,Indian Institute of Tropical Meteorology, Pune 411008, India,Indian Institute of Tropical Meteorology, Pune 411008, India,Indian Institute of Tropical Meteorology, Pune 411008, India

doi: 10.1007/BF02677075

Abstract
References
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Abstract:
A two-dimensional, multitvariate objective analysis scheme for simultaneous analysis of geopotential height and wind fields has been developed over Indian and adjoining region for use in numerical weather prediction. The height-height correlations calculated using daily data of four July months (1976-1979), are used to derive the other autocorrelations and cross-correlations assuming geostropic relationship. A Gaussian function is used to model the autocorrelation function. Since the scheme is multivariate the regression coefficients (weights) are matrix.Near the equator, the geostrophic approximation relating mass and wind is decoupled in a way similar to Bergman (1979). The objective analyses were made over Indian and adjoining region for 850, 700, 500, 300 and 200 hPa levels for the period from 4 July to 8 July 1979, 12 GMT. The analyses obtained using multivariate optimum in-terpolation scheme depict the synoptic situations satisfactorily. The analyses were also compared with the FGGE ana-lyses (from ECMWF) and also with the station observations by computing the root mean square (RMS) errors and the RMS errors are comparable with those obtained in other similar studies.
References

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[2]	S.K. Sinha, D.R. Talwalkar, S.G. Narkhedkar, S. Rajamani, 1989: A Scheme for Objective Analysis of Wind Field Incorporating Multi-Weighting Functions in the Optimum Interpolation Method, ADVANCES IN ATMOSPHERIC SCIENCES, 6, 435-446. doi: 10.1007/BF03342547
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Manuscript History

Manuscript received: 10 October 1992

Manuscript revised: 10 October 1992

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Some Experiments with Multivariate Objective Analysis Scheme of Heights and Winds Using Optimum Interpolation

1. Indian Institute of Tropical Meteorology, Pune 411008, India,Indian Institute of Tropical Meteorology, Pune 411008, India,Indian Institute of Tropical Meteorology, Pune 411008, India,Indian Institute of Tropical Meteorology, Pune 411008, India

Manuscript received: 1992-10-10
Manuscript revised: 1992-10-10

Abstract: A two-dimensional, multitvariate objective analysis scheme for simultaneous analysis of geopotential height and wind fields has been developed over Indian and adjoining region for use in numerical weather prediction. The height-height correlations calculated using daily data of four July months (1976-1979), are used to derive the other autocorrelations and cross-correlations assuming geostropic relationship. A Gaussian function is used to model the autocorrelation function. Since the scheme is multivariate the regression coefficients (weights) are matrix.Near the equator, the geostrophic approximation relating mass and wind is decoupled in a way similar to Bergman (1979). The objective analyses were made over Indian and adjoining region for 850, 700, 500, 300 and 200 hPa levels for the period from 4 July to 8 July 1979, 12 GMT. The analyses obtained using multivariate optimum in-terpolation scheme depict the synoptic situations satisfactorily. The analyses were also compared with the FGGE ana-lyses (from ECMWF) and also with the station observations by computing the root mean square (RMS) errors and the RMS errors are comparable with those obtained in other similar studies.