Data assimilation by the variational method with results for the Indian region

Authors

  • ERIK ANDERSSON
  • GRAEME A. KELLY
  • ANDREAS LANZINGER

DOI:

https://doi.org/10.54302/mausam.v48i2.4003

Keywords:

Variational assimilation, Objective analysis, Tropical cyclone analysis, Numerical weather prediction, Asian summer monsoon, Cyclonic Storm

Abstract

ABSTRACT. The variational method for data assimilation as implemented in the operational scheme at ECMWF is briefly presented. The performance of the variational scheme (3D-Var) with respect to tropical cyclones and the Asian summer monsoon is investigated and compared to the Optimum Interpolation scheme. It is found that the analysis of near-surface winds has improved significantly particularly in the vicinity of tropical storms and depressions. The better analyses have led to improvements in the short range forecasts (day 1 to day 3) of such systems.

The summer monsoon appears slightly stronger in the 3D-Var analyses, giving enhanced forecast precipitation over the Western Ghats and over large parts of northern India. Only in the latter of these two areas does this verify with observations. The forecasts for India of geopotential, wind and temperature have improved significantly at all forecast ranges, as verified against own analyses. These results are based on 28 cases in two separate 2-week periods.

 

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Published

01-04-1997

How to Cite

[1]
E. . ANDERSSON, G. A. . KELLY, and A. . LANZINGER, “Data assimilation by the variational method with results for the Indian region”, MAUSAM, vol. 48, no. 2, pp. 213–224, Apr. 1997.

Issue

Section

Research Papers