| 000 | 02407nam a22003255i 4500 | ||
|---|---|---|---|
| 008 | 181022s2019 si 000 0 eng | ||
| 020 |
_a9789811333958 _qhardback _cRM630.06 (PTSL) |
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| 040 |
_aUKM _erda |
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| 090 |
_aQC995 _b.C837 |
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| 245 | 0 | 0 |
_aCurrent trends in the representation of physical processes in weather and climate models / _ceditors, David A. Randall [and three other]. |
| 264 | 1 |
_aNew York, NY : _bSpringer Berlin Heidelberg, _c2018. |
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| 264 | 4 | _c©2018. | |
| 300 |
_axvi, 372 pages : _billustrations ; _c24 cm. |
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| 336 |
_atext _2rdacontent |
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| 337 |
_aunmediated _2rdamedia |
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| 338 |
_avolume _2rdacarrier |
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| 490 | 1 | _aSpringer atmospheric sciences. | |
| 504 | _aIncludes bibliographical references. | ||
| 520 | _aThis book focuses on the development of physical parameterization over the last 2 to 3 decades and provides a roadmap for its future development. It covers important physical processes: convection, clouds, radiation, land- surface, and the orographic effect. The improvement of numerical models for predicting weather and climate at a variety of places and times has progressed globally. However, there are still several challenging areas, which need to be addressed with a better understanding of physical processes based on observations, and to subsequently be taken into account by means of improved parameterization. And this is all the more important since models are increasingly being used at higher horizontal and vertical resolutions. Encouraging debate on the cloud- resolving approach or the hybrid approach with parameterized convection and grid-scale cloud microphysics and its impact on models' intrinsic predictability, the book offers a motivating reference guide for all researchers whose work involves physical parameterization problems and numerical models | ||
| 650 | 0 | _aWeather forecasting. | |
| 650 | 0 |
_aClimatology _xMathematical models. |
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| 700 | 1 |
_aRandall, David A. _q(David Allan), _d1948-, _eeditor. |
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| 907 |
_a.b16803565 _b2020-10-07 _c2020-05-29 |
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| 942 |
_c01 _n0 _kQC995 .C837 |
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| 949 | _o101007072 | ||
| 990 | _aros/jm | ||
| 991 | _aInstitut Perubahan Iklim | ||
| 998 |
_at _b2020-05-29 _cm _da _feng _gsi _y0 _z.b16803565 |
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| 999 |
_c647791 _d647791 |
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