| 000 | 03193cam a2200313 a 4500 | ||
|---|---|---|---|
| 001 | 16422934 | ||
| 003 | BD-DhUL | ||
| 005 | 20150730101827.0 | ||
| 008 | 100818s2011 enka b 001 0 eng | ||
| 010 | _a 2010035492 | ||
| 020 | _a9780521513890 (hbk.) | ||
| 040 |
_aDLC _cDLC _dDLC _dBD-DhUL |
||
| 042 | _apcc | ||
| 050 | 0 | 0 |
_aQC996 _b.W37 2011 |
| 082 | 0 | 0 |
_a551.634 _222 _bWAN |
| 100 | 1 | _aWarner, Thomas T. | |
| 245 | 1 | 0 |
_aNumerical weather and climate prediction / _cThomas Tomkins Warner. |
| 260 |
_aCambridge ; _aNew York : _bCambridge University Press, _c2011. |
||
| 300 |
_axxii, 526 p. : _bill. ; _c26 cm. |
||
| 365 |
_aGBP _b45.00 |
||
| 504 | _aIncludes bibliographical references (p. 461-522) and index. | ||
| 505 | 8 | _aMachine generated contents note: Preface; List of acronyms; List of symbols; 1. Introduction; 2. The governing systems of equations; 3. Numerical solutions to the equations; 4. Physical-process parameterizations; 5. Modeling surface processes; 6. Model initialization; 7. Ensemble methods; 8. Predictability; 9. Verification methods; 10. Experimental design in model-based research; 11. Techniques for analyzing model output; 12. Operational numerical weather prediction; 13. Statistical post processing of model output; 14. Coupled special-applications models; 15. Computational fluid-dynamics models; 16. Climate modeling and downscaling; Appendix A. Suggested code structure and experiments for a simple shallow-fluid model; References; Index. | |
| 520 |
_a"This textbook provides a comprehensive yet accessible treatment of weather and climate prediction, for graduate students, researchers, and professionals. It teaches the strengths, weaknesses, and best practices for the use of atmospheric models. It is ideal for the many scientists who use such models across a wide variety of applications. The book describes the different numerical methods, data assimilation, ensemble methods, predictability, land surface modeling, climate modeling and downscaling, computational fluid-dynamics models, experimental designs in model-based research, verification methods, operational prediction, and special applications such as air-quality modeling and flood prediction. The book is based on a course that the author has taught for over 30 years at the Pennsylvania State University and the University of Colorado at Boulder, and also benefits from his wide practical modeling experience at the US National Center for Atmospheric Research. This volume will satisfy everyone who needs to know about atmospheric modeling for use in research or operations. It is ideal both as a textbook for a course on weather and climate prediction and as a reference text for researchers and professionals from a range of backgrounds: atmospheric science, meteorology, climatology, environmental science, geography, and geophysical fluid mechanics/dynamics"-- _cProvided by publisher. |
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| 650 | 0 | _aNumerical weather forecasting. | |
| 650 | 0 |
_aWeather forecasting _xMathematical models. |
|
| 650 | 0 |
_aClimatology _xMathematical models. |
|
| 942 |
_2ddc _cBK |
||
| 955 |
_bxj10 2010-08-18 _cxj10 2010-08-18 ONIX to STM (science) _axe11 2011-04-08 2 copies rec'd., to CIP ver. |
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| 999 |
_c36388 _d36388 |
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