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A Coupled Numerical Investigation of the Cape Fear River Basin during Hurricane Florence (2018)
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  • Dongxiao Yin,
  • Z. George Xue,
  • Daoyang Bao,
  • Arezoo RafieeiNasab,
  • Yongjie Huang,
  • Mirce Morales
Dongxiao Yin
Louisiana State University

Corresponding Author:[email protected]

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Z. George Xue
Louisiana State University
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Daoyang Bao
Louisiana State University
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Arezoo RafieeiNasab
National Center for Atmospheric Research
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Yongjie Huang
University of Oklahoma
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Mirce Morales
National Autonomous University of Mexico
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In this study we adapted WRF-Hydro to the Cape Fear River basin (CFRB) to assess its performance during Hurricane Florence (2018). The model was first calibrated with a strategy of mixture of automatic and manual calibration during Florence and then evaluated with an independent hurricane event. With satisfactory NSE values (>0.4) achieved at all gages for hourly simulation, the model demonstrates its potential in simulating the flood response at both basin and sub-basin scale during hurricane events. The model’s capability in reproducing rainfall and properly translating it to hydrological response was further evaluated. The analysis suggests that the calibrated WRF-Hydro in combination with a series of WRF simulation using different microphysics schemes can provide reasonable flood simulations. The model reproduced peak streamflow observed at gage stations with acceptable errors in timing and amplitude. Meanwhile, positive(negative) bias in rainfall input is likely to be amplified (reduced) in streamflow forecast when simulated rainfall volume is larger than the “model true”. And the timing bias mostly inherited from rainfall simulation and calibration process.
26 Feb 2021Submitted to Hydrological Processes
26 Feb 2021Submission Checks Completed
26 Feb 2021Assigned to Editor
04 Mar 2021Reviewer(s) Assigned
25 Dec 2021Review(s) Completed, Editorial Evaluation Pending
31 Dec 2021Editorial Decision: Revise Major
07 Feb 20221st Revision Received
08 Feb 2022Submission Checks Completed
08 Feb 2022Assigned to Editor
08 Feb 2022Reviewer(s) Assigned
20 Jun 2022Review(s) Completed, Editorial Evaluation Pending
22 Jun 2022Editorial Decision: Revise Minor
28 Jun 20222nd Revision Received
03 Jul 2022Assigned to Editor
03 Jul 2022Submission Checks Completed
03 Jul 2022Reviewer(s) Assigned
03 Jul 2022Review(s) Completed, Editorial Evaluation Pending
22 Sep 2022Editorial Decision: Accept