Ojective analysis of meteorological fields

Syllabus

This course deals with the objective analysis of meteorological data and with data assimilation into numerical weather prediction models. The overview of the methods is aimed at currently used approaches. Besides mathematical description of the methods the course is focussed on their practical application. The attributes of particular methods are illustrated by examples. As a part of the objective analysis the data check procedures are also discussed and basic principles are demonstrated. The methods of data assimilation are described and their relationship to the methods of objective analysis is shown. The aim of the course is to provide an overview of current state-of-art of objective analysis and data assimilation. The texts are available in Microsoft Office PowerPoint.

1. Basic concepts Interpolation and extrapolation, objective analysis of meteorological data, data assimilation into numerical weather prediction models, quality control of observations.

2. Methods of objective analysis Basic methods: polynomial interpolation (extrapolation), correction methods (general correction method, Cressman's method, Barnes's method), optimal (statistical) interpolation, variational method 3D VAR.

3. Optimal interpolation and 3D VAR Derivation of the methods and their numerical applications. The multivariate analysis of geopotential height and horizontal wind components.

4. Data assimilation Overview of the methods (optimal interpolation, nudging, Kalman filter, 3D-Var and 4D-Var) and their attributes. Relationships among the methods of objective analysis and data assimilation.

5. Special methods focused on the interpolation of meteorological data Methods for the interpolation of measured rainfall sums. Methods for wind interpolation in the boundary layer.

6. Quality control of observations Methods and algorithms applied to quality control of observed data.

Annotation

Annotation

Complex analysis of meteorological fields. Assimilation of data into numerical weather prediction models.

Knowledge gained from lecture "Synoptic Meteorology I and II" and "Analysis of weather charts I" is supposed.