Subject Code: CL5L202 Subject Name: Numerical Weather Prediction L-T-P:  3-0-0 Credit: 3
Pre-requisite(s):  Nil
Introduction: Overview of numerical weather prediction. Governing equations: continuous equations, map projections, vertical coordinate system, wave oscillations in the atmosphere, filtering approximations. Numerical methods: finite-difference methods, time and space differencing, stability analysis; spectral method, spherical harmonics, boundary conditions. Numerical models: Global models, regional models, mesoscale models. Parameterization of sub-grid scale physical processes: planetary boundary layer, moist microphysics physics, cumulus convection, radiation, air-sea interaction processes, and land surface processes. Data assimilation: Objective analysis schemes, continuous data assimilation techniques - 3D & 4D Variational assimilation; initialization. Predictability and Ensemble forecasting: Fundamental concept about chaotic systems and atmospheric predictability.
Text/Reference Books:
  1. Tim Vasquez Weather Analysis and Forecasting Handbook,  Weather Graphics Technologies
  2. Eugenia Kalnay. Atmospheric modelling, data assimilation and predictability,  Cambridge University Press
  3. Patrick Santurette, Christo Georgiev. Weather Analysis and Forecasting: Applying Satellite Water Vapor Imagery and Potential Vorticity Analysis 1st Edition, Academic Press