# Contents * the following line creates the automatic table of contents {:toc} ## Idea ## This page is about meteorology, the study of the atmosphere and short term weather forecasting. ## Details ## ### Scales ### Meteorology is subdivided into specialist field concentrating on phenomena at certain length scales $L$. There are different classifications, a simple one is this: * microscale: $\lt$ 20 km * mesoscale: 20 km $\lt$ L $\lt$ 1000 km * synoptic (large) scale: L $\gt$ 1000 km ### Forecast Validation ### Forecast validation is an important topic in meteorology, since a huge part of the subject is concerned with prediction more or less extraordinary weather events. For more details, see * I. T. Jolliffe and David B. Stephenson: _Forecast verification: a practitioner's guide in atmospheric science_ (John Wiley and Sons, 2003) ## Computational and Implementation Issues ## Computational meteorology relies heavily on [[Computational fluid dynamics]]. ### Parameterization ### Numerical [[weather models]] are usually [[grid models]], so that there are usually a lot of important processes that cannot be incorporated into the model directly, because they evolve on a sub-grid scale. Therefore, these processes are approximated by additional parameetrizations, that are influences that act on the model on each grid and depend on a certain set of parameters. For more details, see * David J. Stensrud: _Parameterization schemes: Keys to Understand Numerical Weather Prediction Models_ (Camebridge 2007) ## References ## ###General### * Wikipedia: [Meteorology](http://en.wikipedia.org/wiki/Meteorology) ###Introductory Textbooks### * C.Donald Ahrens: _Meteorology Today_ (Brooks Cole; 9 edition (July 2, 2008) ###Computational Meteorology and Weather Models### * Wilford Zdunkowski and Andreas Bott: _Dynamics of the Atmosphere: A Course in Theoretical Meteorology_ (Cambridge University Press (April 28, 2003) [[!redirects meteorology]] category:area of research