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DOI | 10.1175/JAS-D-17-0264.1 |
Assessing Hurricane Rainfall Mechanisms Using a Physics-Based Model: Hurricanes Isabel (2003) and Irene (2011) | |
Lu, Ping1; Lin, Ning1; Emanuel, Kerry2; Chavas, Daniel3; Smith, James1 | |
2018-07-01 | |
发表期刊 | JOURNAL OF THE ATMOSPHERIC SCIENCES
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ISSN | 0022-4928 |
EISSN | 1520-0469 |
出版年 | 2018 |
卷号 | 75期号:7页码:2337-2358 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | We examine a recently developed physics-based tropical cyclone rainfall (TCR) model and apply it to assess the mechanisms that dominate the magnitude and spatial distribution of TC rainfall, with Hurricanes Isabel (2003) and Irene (2011) as study cases. We evaluate the TCR model using Weather and Research Forecasting (WRF) Model simulations. TCR-generated rainfall fields for the two storms compare well with WRF estimates in terms of both azimuthal mean and spatial distributions. When coupled with a hydrologic model, TCR generates flood peaks over the Delaware River basin for Irene as accurately as WRF. TCR accounts for four major rainfall mechanisms: surface frictional convergence, vortex stretching, interaction of the storm with topography, and interaction of the storm with large-scale baroclinity. We show that these rainfall mechanisms affected the rainfall pattern differently for Isabel and Irene. Frictional convergence is the dominant factor, while other mechanisms are also significant. The frictional convergence depends on the boundary layer formulation, which is relatively simple in TCR and may require calibration of boundary layer parameters. Furthermore, we find that the TC rainfall distribution is strongly dependent on the temporal and spatial variation of the TC wind field, mediated by the physical mechanisms represented by TCR. When coupled with various analytical wind models, TCR generally captures the rainfall distribution, with the Holland wind model performing the best. Given its high computational efficiency, TCR can be coupled with an analytical wind model, a hydrological model, and a TC climatology model to generate large numbers of synthetic events to assess the risk associated with TC rainfall and inland flooding. |
英文关键词 | Rainfall Tropical cyclones |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000436788500002 |
WOS关键词 | TROPICAL CYCLONE RAINFALL ; HEIGHT-RESOLVING MODELS ; WESTERN NORTH PACIFIC ; VERTICAL WIND SHEAR ; BOUNDARY-LAYER ; EXTRATROPICAL TRANSITION ; PART I ; UNITED-STATES ; PRECIPITATION DISTRIBUTION ; OROGRAPHIC PRECIPITATION |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/29713 |
专题 | 地球科学 |
作者单位 | 1.Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA; 2.MIT, Dept Earth Atmospher & Planetary Sci, Cambridge, MA USA; 3.Purdue Univ, Dept Earth Atmospher & Planetary Sci, W Lafayette, IN 47907 USA |
推荐引用方式 GB/T 7714 | Lu, Ping,Lin, Ning,Emanuel, Kerry,et al. Assessing Hurricane Rainfall Mechanisms Using a Physics-Based Model: Hurricanes Isabel (2003) and Irene (2011)[J]. JOURNAL OF THE ATMOSPHERIC SCIENCES,2018,75(7):2337-2358. |
APA | Lu, Ping,Lin, Ning,Emanuel, Kerry,Chavas, Daniel,&Smith, James.(2018).Assessing Hurricane Rainfall Mechanisms Using a Physics-Based Model: Hurricanes Isabel (2003) and Irene (2011).JOURNAL OF THE ATMOSPHERIC SCIENCES,75(7),2337-2358. |
MLA | Lu, Ping,et al."Assessing Hurricane Rainfall Mechanisms Using a Physics-Based Model: Hurricanes Isabel (2003) and Irene (2011)".JOURNAL OF THE ATMOSPHERIC SCIENCES 75.7(2018):2337-2358. |
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