Impact of Urban Representation on Simulation of Hurricane Rainfall

Author:

Patel Pratiman1234ORCID,Ankur Kumar56ORCID,Jamshidi Sajad5ORCID,Tiwari Alka7ORCID,Nadimpalli Raghu8ORCID,Busireddy N. K. R.910ORCID,Safaee Samira5,Osuri Krishna K.11ORCID,Karmakar Subhankar2ORCID,Ghosh Subimal2ORCID,Aliaga Daniel1,Smith James12ORCID,Marks Frank13ORCID,Yang Zong‐Liang4ORCID,Niyogi Dev45ORCID

Affiliation:

1. Department of Computer Sciences Purdue University IN West Lafayette USA

2. IDP in Climate Studies Indian Institute of Technology Bombay Mumbai India

3. Department of Geography National University of Singapore Singapore Singapore

4. Department of Geological Sciences and Department of Civil, Architecture, and Environmental Engineering Jackson School of Geoscience University of Texas at Austin TX Austin USA

5. Department of Agronomy Purdue University IN West Lafayette USA

6. Department of Atmospheric and Earth Science The University of Alabama in Huntsville AL Huntsville USA

7. Purdue Hydrological Impacts Group Department of Agricultural and Biological Engineering Purdue University IN West Lafayette USA

8. India Meteorological Department New Delhi India

9. Typhoon Research Center Jeju National University Jeju Republic of Korea

10. Department of Earth Atmospheric and Planetary Sciences Purdue University IN West Lafayette USA

11. Department of Earth and Atmospheric Sciences National Institute of Technology Rourkela Rourkela India

12. Department of Civil and Environmental Engineering Princeton University NJ Priceton USA

13. NOAA Hurricane Research Division/AOML FL Miami USA

Abstract

AbstractTaking 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.

Funder

National Science Foundation

National Aeronautics and Space Administration

U.S. Department of Energy

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

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