02970nam a22004695i 4500001001800000003000900018005001700027007001500044008004100059020001800100020001900118024003100137040000900168100003300177245014100210250004100351264004600392300003300438336002600471337002600497338003900523347002400562490006900586505037700655520091301032650002401945650001701969650001701986650002902003650002402032650003902056650003902095650002702134700002902161700002502190700002702215710003402242773002002276776003602296830006902332856009902401978-0-387-32962-8DE-He21320260521091902.0cr nn 008mamaa100301s2006    xxu|    s    |||| 0|eng d  a9780387329628  a997803873296287 a10.1007/0-387-32962-52doi  cCICY1 aKrishnamurti, T. N.eauthor.13aAn Introduction to Global Spectral Modelingh[recurso electrónico] /cby T. N. Krishnamurti, V. M. Hardiker, H. S. Bedi, L. Ramaswamy.  aSecond Revised and Enlarged Edition. 1aNew York, NY :bSpringer New York,c2006.  aIX, 317 p.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  arecurso en líneabcr2rdacarrier  atext filebPDF2rda1 aAtmospheric and Oceanographic Sciences Library,x1383-8601 ;v350 aAn 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.  aNumerical weather prediction is receiving increased attention as weather forecasters aim to improve the numerical models used to forecast the weather. This is a textbook on global spectral modeling, which is an important component for global weather forecasts at numerous operational centers. This book covers all areas of model development including numerical analysis, treatment of clouds, mountains, radiation, precipitation processes, and the surface layers over land and the ocean. The objectives of this book are to provide a systematic and sequential background for students, researchers, and operational weather forecasters in order to develop comprehensive weather forecast models. This is designed for a one semester introductory graduate level course on weather prediction methodologies. As a prerequisite it requires a basic background in meteorology, applied mathematics, and numerical analysis. 0aPHYSICAL GEOGRAPHY. 0aMETEOROLOGY.14aGEOSCIENCES.24aMETEOROLOGY/CLIMATOLOGY.24aGEOPHYSICS/GEODESY.24aMATH. APPLICATIONS IN GEOSCIENCES.24aENVIRONMENTAL MONITORING/ANALYSIS.24aENVIRONMENTAL PHYSICS.1 aHardiker, V. M.eauthor.1 aBedi, H. S.eauthor.1 aRamaswamy, L.eauthor.2 aSpringerLink (Online service)0 tSpringer eBooks08iPrinted edition:z9780387302546 0aAtmospheric and Oceanographic Sciences Library,x1383-8601 ;v3540uhttp://dx.doi.org/10.1007/0-387-32962-5zVer el texto completo en las instalaciones del CICY