Impact of Urban Representation on Simulation of Hurricane Rainfall
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- Department of Computer Sciences Purdue University IN West Lafayette USA, IDP in Climate Studies Indian Institute of Technology Bombay Mumbai India, Department of Geography National University of Singapore Singapore Singapore, Department of Geological Sciences and Department of Civil, Architecture, and Environmental Engineering Jackson School of Geoscience University of Texas at Austin TX Austin USA
- Department of Agronomy Purdue University IN West Lafayette USA, Department of Atmospheric and Earth Science The University of Alabama in Huntsville AL Huntsville USA
- Department of Agronomy Purdue University IN West Lafayette USA
- Purdue Hydrological Impacts Group Department of Agricultural and Biological Engineering Purdue University IN West Lafayette USA
- India Meteorological Department New Delhi India
- Typhoon Research Center Jeju National University Jeju Republic of Korea, Department of Earth Atmospheric and Planetary Sciences Purdue University IN West Lafayette USA
- Department of Earth and Atmospheric Sciences National Institute of Technology Rourkela Rourkela India
- IDP in Climate Studies Indian Institute of Technology Bombay Mumbai India
- Department of Computer Sciences Purdue University IN West Lafayette USA
- Department of Civil and Environmental Engineering Princeton University NJ Priceton USA
- NOAA Hurricane Research Division/AOML FL Miami USA
- Department of Geological Sciences and Department of Civil, Architecture, and Environmental Engineering Jackson School of Geoscience University of Texas at Austin TX Austin USA
- Department of Geological Sciences and Department of Civil, Architecture, and Environmental Engineering Jackson School of Geoscience University of Texas at Austin TX Austin USA, Department of Agronomy Purdue University IN West Lafayette USA
Abstract 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.
- Sponsoring Organization:
- USDOE
- OSTI ID:
- 2205278
- Alternate ID(s):
- OSTI ID: 2263287
- Journal Information:
- Geophysical Research Letters, Journal Name: Geophysical Research Letters Journal Issue: 21 Vol. 50; ISSN 0094-8276
- Publisher:
- American Geophysical Union (AGU)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
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