Published September 22, 2021 | Version 2

High resolution WRF simulation of Hurricane Florence (2018) and Harvey (2017) during Landfall

Description

A high-resolution simulation of Hurricane Florence (2018) and Harvey (2017) is performed using the Weather Research and Forecasting (WRF) model version 4.3. The WRF model was configured by three nested domains with a horizontal grid spacing of 12, 4, and 1.33 km, respectively, and 60 vertical levels.  The common physics options used in the simulations are the Thompson microphysics scheme (Thompson et al., 2008); RRTMG as shortwave and long-wave schemes (Iacono et al., 2008); Mellor–Yamada–Janjic Scheme as Planetary Boundary Layer (Janjic, 1994;Mesinger, 1993); Unified Noah land surface model (Tewari et al., 2004); Tiedtke Scheme (Tiedtke, 1989; Zhang et al., 2011) as cumulus parameterization scheme only for the first domain. The simulations were performed considering (a) a control experiment with an urban slab model (NUCM), (b) a single-layer UCM, and (c) multi-layer BEP urban physics (BEP). All other physics schemes remain the same for the simulations. The simulations for Hurricane Florence start on 2018-09-12 at 12:00 UTC and end on 2018-09-18 at 00:00 UTC, and for Hurricane Harvey simulations start on 2017-08-24 at 12:00:00 UTC and end on 2017-08-29 at 00:00:00 UTC.

The data herein presents the model output of 3-hour for domain one and 1-hour for domain three. The format is NetCDF, containing detailed metadata. Three-dimensional meteorological field variables include three wind components (u, v, and w), potential temperature, water vapour mixing ratio, and atmospheric pressure. Two-dimensional variables include horizontal wind components at 10 m AGL, potential temperature and water vapour mixing ratio at 2 m AGL, atmospheric pressure at the surface, terrain height, planetary boundary layer height, total accumulated rainfall, latent heat flux, sensible heat flux, and the Coriolis sine latitude term. The outputs are provided for NUCM, UCM and BEP simulations.

Notes

The authors acknowledge the financial support provided by US NSF 1902642, and the NASA CyGNSS 80NSSC21K1008, NASA Interdisciplinary Sciences 80NSSC20K1262 and 80NSSC20K1268, DoE ASCR DE‐SC 00221, DoE Urban Integrated Field Labs, the University of Texas William Stamps Farish Chair Professorship, the SERB ‐ Purdue OVDF program (SB/S9/Z‐03/2017), and THUMP project (MoES/16/09/2018-RDEA-STHIJM-P7) of Earth System Science Organization, Ministry of Earth Sciences, Government of India.

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Is cited by
Journal article: 10.1029/2023GL104078 (DOI)