热带气旋降水模拟研究进展
Review on modeling of tropical cyclone rainfall
查看参考文献76篇
|
文摘
|
中国是遭受热带气旋灾害最为严重的国家之一,准确的降水模拟对于开展热带气旋灾害风险评估有重要意义。本文从热带气旋灾害风险评估的视角,将降水模拟分为基于极值理论的降水极值模拟、基于站点的降水时空模拟和基于热带气旋路径的降水事件模拟3大类;根据风险评估对降水模拟的需求,从模型构建、发展及其特点等方面对3类模型进行分析评述;进而提出面向风险评估的热带气旋降水模拟,应兼顾降水模拟的一般性和热带气旋暴雨模拟的特殊性,平衡处理降水模拟结果的准确性、统计量的可靠性和计算量问题。以极值理论对降水极值模拟为基础,充分发挥降水时空模拟在处理长时间降水序列中的优势,并加强热带气旋降水的理论研究,进一步完善热带气旋降水事件的模拟模型。 |
|
其他语种文摘
|
China is one of the countries severely suffering from tropical cyclone (TC) disaster. Accurate rainfall modeling is of great significance for TC disaster risk assessment. From the perspective of TC disaster risk assessment, the methods of rainfall modeling can be classified into three categories, such as extreme rainfall modeling based on extreme value theory, stochastic space-time rainfall modeling based on ground station data, and TC rainfall event modeling based on stochastic TC tracks. This paper analyzes the demand of rainfall modeling for TC disaster risk assessment, and then reviews the principles, procedures, improvements and features of the three types of models. It is concluded that TC rainfall modeling for disaster risk assessment needs to integrate both the common features in rainfall modeling and the special requirements for TC rainfall simulation, in order to achieve a good balance among accuracy of TC rainfall, reliability of statistical results and computational costs. TC rainfall modeling should be based upon extreme value theory for long-term catastrophe risk analysis, and stochastic models are ideal for site-specific rainfall time series simulation, while stochastic TC rainfall event simulation, as the most advanced method, still needs further study in the areas such as rainfall mechanism and spatial structure, etc. |
|
来源
|
地理科学进展
,2013,32(4):606-617 【核心库】
|
|
关键词
|
热带气旋
;
降水模拟
;
灾害
;
风险评估
|
|
地址
|
1.
北京师范大学民政部-教育部减灾与应急管理研究院, 地表过程与资源生态国家重点实验室, 北京, 100875
2.
北京师范大学民政部-教育部减灾与应急管理研究院, 地表过程与资源生态国家重点实验室;;环境演变与自然灾害教育部重点实验室, 北京, 100875
|
|
语种
|
中文 |
|
文献类型
|
研究性论文 |
|
ISSN
|
1007-6301 |
|
学科
|
大气科学(气象学) |
|
基金
|
国家科技支撑计划项目
;
公益性行业科研专项
|
|
文献收藏号
|
CSCD:4824295
|
参考文献 共
76
共4页
|
|
1.
Alliss R J. Special Sensor Microwave/Imager (SSM/I) observations of hurricane Hugo(1989).
Monthly Weather Review,1992,120(12):2723-2737
|
被引
1
次
|
|
|
|
|
2.
Alliss R J. Applications of SSM/I data in the analysis of hurricane Florence (1988).
Journal of Applied Meteorology,1993,32(10):1581-1591
|
被引
2
次
|
|
|
|
|
3.
Bo Z. Aggregation-disaggregation properties of a stochastic rainfall model.
Water Resources Research,1994,30(12):3423-3435
|
被引
1
次
|
|
|
|
|
4.
Chandler R E. Analysis of rainfall variability using generalized linear models: A case study from the west of Ireland.
Water Resources Research,2002,38(10):1192-1202
|
被引
6
次
|
|
|
|
|
5.
Chen L S. An Overview of Research and Forecasting on Rainfall Associated with Landfalling Tropical Cyclones.
Advances in Atmospheric Sciences,2010,27(5):967-976
|
被引
49
次
|
|
|
|
|
6.
陈明昌. 降水、温度和日照时数的随机生成模型和验证.
干旱地区农业研究,1994,12(2):17-26
|
被引
9
次
|
|
|
|
|
7.
陈朝晖. 台风极值风速的数值模拟及分布模型.
重庆大学学报,2008,31(11):1285-1289
|
被引
10
次
|
|
|
|
|
8.
Cheung K K W. Characteristics of rainfall during tropical cyclone periods in Taiwan.
Natural Hazards and Earth System Sciences,2008,8(6):1463-1474
|
被引
1
次
|
|
|
|
|
9.
Cheung K. A tropical cyclone rainfallclimatologypersistence model for the Taiwan area.
Proceedings of the 27th Conference on Hurricanes and Tropical Meteorology,2006
|
被引
1
次
|
|
|
|
|
10.
丑纪范. 天气和气候的可预报性.
气象科技进展,2011,1(2):11-14
|
被引
7
次
|
|
|
|
|
11.
Coe R. Fitting models to daily rainfall data.
Journal of Applied Meteorology,1982,21(7):1024-1031
|
被引
3
次
|
|
|
|
|
12.
Coles S. A fully probabilistic approach to extreme rainfall modeling.
Journal of Hydrology,2003,273(1/4):35-50
|
被引
3
次
|
|
|
|
|
13.
Cowpertwait P S P. A generalized point process model for rainfall.
Proceedings of the Royal Society of London Series A: Mathematical, Physical and Engineering Sciences,1994,447:23-37
|
被引
2
次
|
|
|
|
|
14.
Cowpertwait P S P. A generalized spatial-temporal model of rainfall based on a clustered point process.
Proceedings of the Royal Society of London Series A: Mathematical, Physical and Engineering Sciences,1995,450:163-175
|
被引
1
次
|
|
|
|
|
15.
Cowpertwait P S P. A Poisson-cluster model of rainfall:High-order moments and extreme values.
Proceedings of the Royal Society of London Series A: Mathematical, Physical and Engineering Sciences,1998,454:885-898
|
被引
2
次
|
|
|
|
|
16.
Dastidar A G. Higher order Markov chain models for monsoon rainfall over West Bengal, India.
India Journal of Radio & Space Physics,2010,39(1):39-44
|
被引
2
次
|
|
|
|
|
17.
DeMaria M. Evaluation of quantitative precipitation forecasts from the GFDL hurricane model.
Precipitation Extremes: Prediction, Impacts, and Responses,2001
|
被引
1
次
|
|
|
|
|
18.
丁裕国. 基于多状态Markov链模式的极端降水模拟试验.
气象学报,2009,67(1):20-27
|
被引
4
次
|
|
|
|
|
19.
丁裕国. 降水量Г分布模式的普适性研究.
大气科学,1994,18(5):552-560
|
被引
24
次
|
|
|
|
|
20.
范丽军. 统计降尺度法对未来区域气候变化情景预估的研究进展.
地球科学进展,2005,20(3):320-329
|
被引
95
次
|
|
|
|
|
了解气象卫星更多信息，请访问