《Advances in rainfall-runoff modelling and numerical weather》是2014年科學出版社出版的圖書。
基本介紹
- 中文名：Advances in rainfall-runoff modelling and numerical weather
- 作者：劉佳
- 出版時間：2014年
- 出版社：科學出版社
- ISBN：9787030409492
- 類別：地球科學
- 開本：16 開
- 裝幀：精裝
內容簡介,圖書目錄,
內容簡介
本書針對洪水預報的預見期短、預報精度低等問題，介紹了解決方案即構建基於數據同化技術的陸氣耦合實時洪水預報系統所涉及的關鍵技術問題，包括中尺度數值大氣模式的降雨預報、數據同化技術與同化方案、流域水文模型及實時校正方法及構建陸氣耦合洪水預報系統等，本書探索了利用氣象與水文的跨學科交叉優勢，在中尺度WRF模式與流域水文模型的耦合過程中，實現基於變分同化技術的數據同化方案，開發了一套完整的基於數據同化的陸氣耦合實時預報技術體系，以提高WRF模式的降雨預報精度，延長洪水預報的預見期。研究成果對提高我國實時洪水預報水平，並可為我國洪水風險管理和防洪減災提供重要的理論和技術支撐
圖書目錄
PART I Introduction and the study site
Chapter 1 Introduction
1.1 Background and motivation
1.2 Scope and aim of the book
1.3 Layout and structure
Chapter 2 Study site and data sources
2.1 The Brue catchment
2.2 The HYREX experiment
2.3 Weather radar and rain gauge network
2.4 Input to the mesoscale NWP model
2.5 Data utilisation and treatment of invalid data in the book
PART II Data mining issues for rainfall-runoff modelling
Chapter 3 Calibration data selection of the rainfall-runoff model
3.1 Introduction
3.2 Probability Distributed Model
3.3 Spectral analysis methods and the ICF index
3.4 Calibration methods and scenario design
3.5 Model performances of different calibration scenarios
3.6 Similarity between the calibration and validation data
3.7 Conclusions
Chapter 4 Optimal data time interval for real-time flood forecasting
4. 1 Introduction
4.2 Observed rainfall-runoff data with different time intervals
4.3 Real-time updating scheme: the ARMA model
4.4 Impact of time interval on real-time flood forecasting by case studies
4.5 Hypothetical pattern for the selection of the optimal time interval
4. 6 Conclusions
PART III Rainfall prediction using the mesoscale NWP model
Chapter 5 Numerical weather prediction and the WRF model
5. 1 Introduction
5.2 The development of numerical weather prediction
5.3 Principles and functions of the NWP model
5.4 The mesoscale NWP model
5.5 Weather Research and Forecasting model
5.6 Conclusions
Chapter 6 Sensitivity of the WRF model to domain configurations and storm types
6.1 Introduction
6.2 WRF configuration and verification
6.3 Data and experiment design
6.4 Sensitivity of the WRF model in rainfall simulation
6.5 Uncertainties in the sensitivity analyses
6.6 Conclusions
Chapter 7 Variational data assimilation system for the WRF model
7. I Introduction
7.2 Principles of the variational data assimilation system for WRF
7.3 Observation pre-proeessing (OBSPROC)
7.4 Running WRF-3DVar in cold-start and cycling mode
7.5 Updating WRF boundary, conditions (WRFBC)
7.6 Generating background error (GENBE)
7.7 Assimilating weather radar data
7.8 Conclusions
Chapter 8 Rainfall forecasting with data assimilation by WRF-3DVar
8.1 Purpose
8.2 ECMWF forecast products, stoma events and WRF configurations
8.3 Observational data assimilated by WRF-3DVar
8.4 Rainfall forecasting results for 24h storm events of four types
8.5 Quantification of errors of using 24h rainfall accumulations
8.6 Limitations of the radar correction ratio
8.7 Conclusions
PART IV The Integrated real-time flood forecasting system and conclusions
Chapter 9 Real-time flood forecasting using the WRF forecasted rainfall
9.1 Introduction
9.2 Real-time forecasting system by integrating WRF, PDM and ARMA
9.3 Forecast design and system identification
9.4 Performance testing of the real-time forecasting system
9.5 Evaluation of the WRF forecasted rainfall for flood forecasting
9.6 Conclusions
Chapter 10 Conclusions and recommendations
10.1 Conclusions
10.2 Limitations and recommendations for future work
References
Appendix
