000 02214nam a22003258i 4500
001 CR9780511812590
003 UkCbUP
005 20200124160330.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 101021s2007||||enk o ||1 0|eng|d
020 _a9780511812590 (ebook)
020 _z9780521865401 (hardback)
020 _z9780521126762 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aQC996
_b.S74 2007
082 0 4 _a551.634
_222
100 1 _aStensrud, David J.,
_eauthor.
245 1 0 _aParameterization schemes :
_bkeys to understanding numerical weather prediction models /
_cDavid J. Stensrud.
264 1 _aCambridge :
_bCambridge University Press,
_c2007.
300 _a1 online resource (xviii, 459 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520 _aNumerical weather prediction models play an increasingly important role in meteorology, both in short- and medium-range forecasting and global climate change studies. The most important components of any numerical weather prediction model are the subgrid-scale parameterization schemes, and the analysis and understanding of these schemes is a key aspect of numerical weather prediction. This book provides in-depth explorations of the most commonly used types of parameterization schemes that influence both short-range weather forecasts and global climate models. Several parameterizations are summarised and compared, followed by a discussion of their limitations. Review questions at the end of each chapter enable readers to monitor their understanding of the topics covered, and solutions are available to instructors at www.cambridge.org/9780521865401. This will be an essential reference for academic researchers, meteorologists, weather forecasters, and graduate students interested in numerical weather prediction and its use in weather forecasting.
650 0 _aNumerical weather forecasting.
776 0 8 _iPrint version:
_z9780521865401
856 4 0 _uhttps://doi.org/10.1017/CBO9780511812590
999 _c522516
_d522514