{"product_id":"numerical-weather-prediction-and-data-assimilation-hardback-9781786301413","title":"Numerical Weather Prediction and Data Assimilation (Hardback) 9781786301413","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eNumerical Weather Prediction and Data Assimilation\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003ePetros Katsafados (Author), Elias Mavromatidis (Author), Christos Spyrou (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781786301413, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 31 July 2020\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e224 pages\u003cbr\u003e23.6 x 16 x 2 cm, 0.499 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eThis 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.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface vii\u003c\/p\u003e \u003cp\u003eIntroduction ix\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1. The Primitive Equations \u003c\/b\u003e\u003cb\u003e1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1. Wind forecast equations (conservation of momentum) 1\u003c\/p\u003e \u003cp\u003e1.1.1. Real forces 6\u003c\/p\u003e \u003cp\u003e1.1.2. Apparent forces 14\u003c\/p\u003e \u003cp\u003e1.1.3. Equation of motion 17\u003c\/p\u003e \u003cp\u003e1.2. Continuity equation (conservation of mass) 19\u003c\/p\u003e \u003cp\u003e1.3. Temperature forecast equation (conservation of energy) 21\u003c\/p\u003e \u003cp\u003e1.4. Moisture forecast equation (conservation of water vapor) 26\u003c\/p\u003e \u003cp\u003e1.5. Synopsis of equations 26\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2. Solving Methods in NWP Models \u003c\/b\u003e\u003cb\u003e31\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1. Decomposition of variables – the perturbation method 31\u003c\/p\u003e \u003cp\u003e2.1.1. Synoptic scale equations 39\u003c\/p\u003e \u003cp\u003e2.1.2. Mesoscale equations 40\u003c\/p\u003e \u003cp\u003e2.2. Numerical solutions of partial differential equations 43\u003c\/p\u003e \u003cp\u003e2.2.1. Computations by finite difference schemes 44\u003c\/p\u003e \u003cp\u003e2.2.2. Derivation of finite difference representations 46\u003c\/p\u003e \u003cp\u003e2.2.3. Methods for solving the advection–diffusion equation 50\u003c\/p\u003e \u003cp\u003e2.3. Time splitting 63\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3. Domain Structures and Boundary Conditions \u003c\/b\u003e\u003cb\u003e67\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1. Horizontal grid structure and resolution 68\u003c\/p\u003e \u003cp\u003e3.2. The vertical coordinate system 71\u003c\/p\u003e \u003cp\u003e3.2.1. Terrain-following coordinate system 72\u003c\/p\u003e \u003cp\u003e3.3. Boundary conditions 86\u003c\/p\u003e \u003cp\u003e3.3.1. Lateral boundary conditions 88\u003c\/p\u003e \u003cp\u003e3.3.2. Upper (top) boundary conditions 90\u003c\/p\u003e \u003cp\u003e3.3.3. Lower (bottom) boundary conditions 90\u003c\/p\u003e \u003cp\u003e3.4. Design of a simulation 99\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4. Introduction to Data Assimilation \u003c\/b\u003e\u003cb\u003e101\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1. Successive correction methods 102\u003c\/p\u003e \u003cp\u003e4.2. Least square method 103\u003c\/p\u003e \u003cp\u003e4.3. Variational approach 108\u003c\/p\u003e \u003cp\u003e4.4. Generalization of the methods 114\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5. Desert Dust Modeling \u003c\/b\u003e\u003cb\u003e119\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1. Dust uptake mechanisms formulation 121\u003c\/p\u003e \u003cp\u003e5.2. Dust advection and deposition 127\u003c\/p\u003e \u003cp\u003e5.3. Parameterization of the dust feedbacks on climate 132\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6. Simulations of Extreme Weather and Dust Events \u003c\/b\u003e\u003cb\u003e143\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1. Case study 1: numerical simulation of a Mediterranean cyclone and its sensitivity on lower boundary conditions 143\u003c\/p\u003e \u003cp\u003e6.1.1. Description of the synoptic conditions 143\u003c\/p\u003e \u003cp\u003e6.1.2. Design of the simulations 145\u003c\/p\u003e \u003cp\u003e6.1.3. Analysis of the numerical simulations 147\u003c\/p\u003e \u003cp\u003e6.2. Case study 2: nowcasting an extreme precipitation event 151\u003c\/p\u003e \u003cp\u003e6.2.1. Synoptic analysis of the event 151\u003c\/p\u003e \u003cp\u003e6.2.2. Nowcasting methodology and results 153\u003c\/p\u003e \u003cp\u003e6.3. Case study 3: seasonal predictability of a large-scale heat wave 157\u003c\/p\u003e \u003cp\u003e6.3.1. Description of the synoptic conditions 158\u003c\/p\u003e \u003cp\u003e6.3.2. Model description and methodology 159\u003c\/p\u003e \u003cp\u003e6.3.3. Predictability assessment 161\u003c\/p\u003e \u003cp\u003e6.4. Numerical study of a severe desert dust storm over Crete 163\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendices \u003c\/b\u003e\u003cb\u003e169\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAppendix 1 171\u003c\/p\u003e \u003cp\u003eAppendix 2 179\u003c\/p\u003e \u003cp\u003eReferences 197\u003c\/p\u003e \u003cp\u003eIndex 207\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mathematics [\u003ca title=\"See our other books on Mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mathematics%20%5BPB%5D%22\"\u003ePB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-ISTE","offers":[{"title":"Brand New","offer_id":52446342971672,"sku":"9781786301413","price":103.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781786301413.jpg?v=1785111374","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/numerical-weather-prediction-and-data-assimilation-hardback-9781786301413","provider":"Freshly Printed Books","version":"1.0","type":"link"}