000			05366nam a22004217a 4500
999			_c88705 _d88705
003			CITU
005			20240923092442.0
008			240923b |||||o|||| 00| 0 eng d
020			_a9781119560463 _q(electronic bk. : oBook)
020			_a1119560462 _q(electronic bk. : oBook)
020			_z9781786301413 _q(print)
024	7		_a10.1002/9781119560463 _2doi
035			_a(OCoLC)1183031495
040			_aDG1 _beng _erda _epn _cDG1 _dRECBK _dOCLCF
041			_aeng
050		4	_aQC996
082	0	4	_a551.63/4 _223
100	1		_aKatsafados, Petros, _eauthor.
245	1	0	_aNumerical weather prediction and data assimilation / _cPetros Katsafados, Elias Mavromatidis, Christos Spyrou.
264		1	_aLondon, United Kingdom : _bISTE, Ltd. ; _aHoboken, NJ : _bWiley, _c[2020]
300			_a1 online resource.
336			_atext _btxt _2rdacontent.
337			_acomputer _bc _2rdamedia.
338			_aonline resource _bcr _2rdacarrier.
340			_2rdacc _0http://rdaregistry.info/termList/RDAColourContent/1003.
490	1		_aEngineering, energy and architecture set ; _vvolume 6.
504			_aIncludes bibliographical references and index.
505	0		_aTable of Contents Preface vii Introduction ix Chapter 1. The Primitive Equations 1 1.1. Wind forecast equations (conservation of momentum) 1 1.1.1. Real forces 6 1.1.2. Apparent forces 14 1.1.3. Equation of motion 17 1.2. Continuity equation (conservation of mass) 19 1.3. Temperature forecast equation (conservation of energy) 21 1.4. Moisture forecast equation (conservation of water vapor) 26 1.5. Synopsis of equations 26 Chapter 2. Solving Methods in NWP Models 31 2.1. Decomposition of variables – the perturbation method 31 2.1.1. Synoptic scale equations 39 2.1.2. Mesoscale equations 40 2.2. Numerical solutions of partial differential equations 43 2.2.1. Computations by finite difference schemes 44 2.2.2. Derivation of finite difference representations 46 2.2.3. Methods for solving the advection–diffusion equation 50 2.3. Time splitting 63 Chapter 3. Domain Structures and Boundary Conditions 67 3.1. Horizontal grid structure and resolution 68 3.2. The vertical coordinate system 71 3.2.1. Terrain-following coordinate system 72 3.3. Boundary conditions 86 3.3.1. Lateral boundary conditions 88 3.3.2. Upper (top) boundary conditions 90 3.3.3. Lower (bottom) boundary conditions 90 3.4. Design of a simulation 99 Chapter 4. Introduction to Data Assimilation 101 4.1. Successive correction methods 102 4.2. Least square method 103 4.3. Variational approach 108 4.4. Generalization of the methods 114 Chapter 5. Desert Dust Modeling 119 5.1. Dust uptake mechanisms formulation 121 5.2. Dust advection and deposition 127 5.3. Parameterization of the dust feedbacks on climate 132 Chapter 6. Simulations of Extreme Weather and Dust Events 143 6.1. Case study 1: numerical simulation of a Mediterranean cyclone and its sensitivity on lower boundary conditions 143 6.1.1. Description of the synoptic conditions 143 6.1.2. Design of the simulations 145 6.1.3. Analysis of the numerical simulations 147 6.2. Case study 2: nowcasting an extreme precipitation event 151 6.2.1. Synoptic analysis of the event 151 6.2.2. Nowcasting methodology and results 153 6.3. Case study 3: seasonal predictability of a large-scale heat wave 157 6.3.1. Description of the synoptic conditions 158 6.3.2. Model description and methodology 159 6.3.3. Predictability assessment 161 6.4. Numerical study of a severe desert dust storm over Crete 163 Appendices 169 Appendix 1 171 Appendix 2 179 References 197 Index 207
520			_aThis book has as main aim to be an introductory textbook of applied knowledge in Numerical Weather Prediction (NWP), which is a method of weather forecasting that employs: A set of equations that describe the flow of fluids translated into computer code, combined with parameterizations of other processes, applied on a specific domain and integrated in the basis of initial and domain boundary conditions. Current weather observations serve as input to the numerical computer models through a process called data assimilation to produce atmospheric properties in the future (e.g. temperature, precipitation, and a lot of other meteorological parameters). Various case studies will be also presented and analyzed through this book.
545	0		_aAbout the Author Petros Katsafados, Associate Professor, Department of Geography, Harokopio University, Athens, Greece. Elias Mavromatidis, Research Associate, Department of Geography, Harokopio University, Athens, Greece. Christos Spyrou, Researcher, National and Kapodistrian University of Athens, Athens, Greece.
650		0	_aNumerical weather forecasting. _0http://id.loc.gov/authorities/subjects/sh85093249.
655		4	_aElectronic books.
700	1		_aMavromatidis, Elias, _eauthor.
700	1		_aSpyrou, Christos, _eauthor.
830		0	_aScience, society and new technology series. _pEngineering, energy and architecture set ; _0http://id.loc.gov/authorities/names/no2018059527 _vv. 6.
856	4	0	_uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119560463 _yFull text available at Wiley Online Library Click here to view
942			_2ddc _cER