Impact of Urban Representation on Simulation of Hurricane Rainfall
Impact of Urban Representation on Simulation of Hurricane Rainfall
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DOI：
10.1029/2023gl104078
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发表时间：
2023-11
影响因子：
5.2
通讯作者：
Pratiman Patel;Kumar Ankur;S. Jamshidi;Alka Tiwari;R. Nadimpalli;N. Busireddy;Samira Safaee;K. Osuri;S. Karmakar;Subimal Ghosh;Daniel Aliaga;James Smith;Frank Marks;Zong‐Liang Yang;D. Niyogi
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作者：
Pratiman Patel;Kumar Ankur;S. Jamshidi;Alka Tiwari;R. Nadimpalli;N. Busireddy;Samira Safaee;K. Osuri;S. Karmakar;Subimal Ghosh;Daniel Aliaga;James Smith;Frank Marks;Zong‐Liang Yang;D. Niyogi
以2018年卡罗莱纳州飓风佛罗伦萨和2017年德克萨斯州墨西哥湾沿岸飓风哈维为例，本研究试图了解SLAB、单层城市冠层模型(UCM)和建筑环境参数化(BEP)在使用天气研究和预报(WRF)模型模拟飓风降雨方面的表现。WRF模式的模拟结果表明，对于像飓风这样的大范围强事件，模式城市区域的定量降水预报对模式城市物理很敏感。使用改进的Kling-Gupta效率和基于对象的诊断和评估方法进行的时空验证表明，UCM的性能优于BEP方案。此外，在UCM上使用BEP城市物理方案模拟登陆飓风降雨有助于模拟暴雨热点。
Taking the examples of Hurricane Florence (2018) over the Carolinas and Hurricane Harvey (2017) over the Texas Gulf Coast, the study attempts to understand the performance of slab, single‐layer Urban Canopy Model (UCM), and Building Environment Parameterization (BEP) in simulating hurricane rainfall using the Weather Research and Forecasting (WRF) model. The WRF model simulations showed that for an intense, large‐scale event such as a hurricane, the model quantitative precipitation forecast over the urban domain was sensitive to the model urban physics. The spatial and temporal verification using the modified Kling‐Gupta efficiency and Method for Object based Diagnostic and Evaluation in Time Domain suggests that UCM performance is superior to the BEP scheme. Additionally, using the BEP urban physics scheme over UCM for landfalling hurricane rainfall simulations has helped simulate heavy rainfall hotspots.