Introduction to Global Spectral Modeling

T.N. Krishnamurti is professor of meteorology at Florida State University. He obtained his PhD in 1959 at the University of Chicago. His research interests are in the following areas: high resolution hurricane forecast (tracks, landfall, and intensity), monsoon forecasts on short, medium range, and monthly time scale and studies of interseasonal and interannual variability of the tropical atmosphere. As a participant in the meteorology team in tropical field projects, he has been responsible for the acquisition and analysis of meteorological data, which extends over most of the tropical atmosphere over several years and is now being assembled and analyzed. These data are unique; it is unlikely that a meteorological data record will be available for decades. Phenomenological interests include hurricanes, monsoons, jet streams, and the meteorology of arid zones. H.S. Bedi is affiliated with Florida State University. V.M. Hardiker is a research associate at Florida State University. L. Ramaswamy is a graduate research assistant in the Department of Meteorology at Florida State University.

James Russell Carr in Mathematical Geology, Vol. 31, No. 8, 1999 on the book's first edition: In summary, the mathematical treatment is quite intense and demands patience of readers, at least in the case of this one. But if at all intrigued by how sophisticated weather forecasting has become (certainly strom forecasting) then a reader will find this book not only interesting, but thorough enough to enable model development if that is a goal. Problems are presneted at the end of each chapter, so this book can be used as a texct in the class room. Reserachers involved in the modeling of turbulence, ocean systems and tectonic systems may also value the presentation of this book.

• An Introduction to Finite Differencing.- Time-Differencing Schemes.- What Is a Spectral Model?.- Lower-Order Spectral Model.- Mathematical Aspects of Spectral Models.- Multilevel Global Spectral Model.- Physical Processes.- Initialization Procedures.- Spectral Energetics.- Limited Area Spectral Model.- Ensemble Forecasting.- Adaptive Observational Strategies.