Читать книгу Numerical Weather Prediction and Data Assimilation - Petros Katsafados - Страница 2

1  Cover

2  Preface

3  Introduction

4  1 The Primitive Equations 1.1. Wind forecast equations (conservation of momentum) 1.2. Continuity equation (conservation of mass) 1.3. Temperature forecast equation (conservation of energy) 1.4. Moisture forecast equation (conservation of water vapor) 1.5. Synopsis of equations

5  2 Solving Methods in NWP Models 2.1. Decomposition of variables – the perturbation method 2.2. Numerical solutions of partial differential equations 2.3. Time splitting

6  3 Domain Structures and Boundary Conditions 3.1. Horizontal grid structure and resolution 3.2. The vertical coordinate system 3.3. Boundary conditions 3.4. Design of a simulation

7  4 Introduction to Data Assimilation 4.1. Successive correction methods 4.2. Least square method 4.3. Variational approach 4.4. Generalization of the methods

8  5 Desert Dust Modeling 5.1. Dust uptake mechanisms formulation 5.2. Dust advection and deposition 5.3. Parameterization of the dust feedbacks on climate

9  6 Simulations of Extreme Weather and Dust Events 6.1. Case study 1: numerical simulation of a Mediterranean cyclone and its sensitivity on lower boundary conditions 6.2. Case study 2: nowcasting an extreme precipitation event 6.3. Case study 3: seasonal predictability of a large-scale heat wave 6.4. Numerical study of a severe desert dust storm over Crete

10  Appendices Appendix 1 Appendix 2

11  References

12  Index

13  End User License Agreement