Subject Code: CL5L102 Subject Name:   Mathematical and Statistical Methods in Climate Science L-T-P:  3-0-0 Credit: 3
 
Pre-requisite(s):  Nil

Rank and  inverse  of a  matrix,   consistency   of   linear   system   of   equations,   eigenvalues and  eigenfunctions, 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, Time series analysis: Fourier and spectral methods.  Probability, conditional probability, mean, median and variance, analysis of variance distributions.  
Text/Reference Books:

  1. Hans von Storch and Francis W. Zwier, Statistical analysis in climate research.  Cambridge University Press.
  2. W. J. Emery, Richard E. Thomson. Data Analysis Methods in Physical Oceanography.  Elsevier Science 
  3. Trauth, E. Sillmann, R. Gebbers, N. Marwan. MATLAB® Recipes for Earth Sciences, Springer