Course Details
Subject {L-T-P / C} : ER6025 : Statistical Methods in Atmospheric Science { 3-0-0 / 3}
Subject Nature : Theory
Coordinator : Prof. Krishna Kishore Osuri
Syllabus
Rank and inverse of a matrix, consistency of linear system of equations, eigenvalues and eigen functions, orthonormal systems. Taylor’s theorem and infinite series, functions of several variables, maxima and minima, ordinary differential equations, series solution of Legendre and Bessel equations, Laplace transforms. Initial and boundary value problems, complex analysis periodic, even and odd functions Fourier and spectral methods. Probability: conditional probability, mean, median and variance, analysis of variance distributions. Statistical Forecasting Time Series Analysis
Course Objectives
- Methods that used for preparation of analyses, validation and post-processing weather and climate data are discussed.
Course Outcomes
Students are trained for different methods to prepare analyses for forecast models, validation and post-processing weather and climate data.
Essential Reading
- Daniel Wilks, Statistical Methods in the Atmospheric Sciences, Academic Press , Third Edition, 2011
- Hans von Storch and Francis W. Zwier, Statistical analysis in climate research, Cambridge University Press , 2001
Supplementary Reading
- W. J. Emery, Richard E. Thomson, Data Analysis Methods in Physical Oceanography, Elsevier Science , Second and revised Edition, 2001
- Trauth, E. Sillmann, R. Gebbers, N. Marwan, MATLAB® Recipes for Earth Sciences, Springer , Fourth Edition