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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/gmd-2019-139
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2019-139
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: model description paper 14 Aug 2019

Submitted as: model description paper | 14 Aug 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

Spatial and Temporal Evolution of a Lightning Diagnostic in HWRF (V3.7a)

Keren Rosado1, Bin Liu2, Vernon Morris1, Vijay Tallapragada3, and Lin Zhu2 Keren Rosado et al.
  • 1Department of Atmospheric Science, Howard University, Washington, DC, 20059, USA
  • 2NOAA/National Centers for Environmental Prediction/Environment Modeling Center/I. M. Systems Group College Park, 20740, USA
  • 3NOAA/National Centers for Environmental Prediction/Environment Modeling Center,College Park, 20740, USA

Abstract. The operational Hurricane Weather Research and Forecast (HWRF) model has been used to investigate the role of lightning diagnostics in the life cycle of tropical cyclones. A lightning parameterization, the Lightning Potential Index (LPI), was implemented into HWRF with the motivation that an improvement in the forecast of lightning will lead to reductions in the HWRF model intensity forecast errors and bias. Three questions are addressed: (i) Can the HWRF model predict lightning temporal distributions with an acceptable degree of accuracy? (ii) How well does the HWRF model with lightning parameterization forecast lightning spatial distributions before, during, and after tropical cyclone intensification? (iii) What is the functional relationship between tropical cyclone wind speed and lightning frequency in the HWRF model forecast? A five-day simulation of Idealized tropical cyclones with and without eyewall replacement cycle, has been conducted, followed by two real cases e.g. hurricanes Earl and Igor to evaluate the evolution of the spatial distribution of lightning location. Results from this investigation led to the following observations: (1) the potential for lightning occurrence increases to its maximum peak prior to the maximum predicted wind intensity and (2) the numerical simulations predict a negative correlation between lightning occurrence and maximum winds during the storm’s peak intensity.

Keren Rosado et al.
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Keren Rosado et al.
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Short summary
The operational Hurricane Weather Research and Forecast (HWRF) model has been used to investigate the role of lightning diagnostics in the life cycle of tropical cyclones (TC). A lightning parameterization was implemented into HWRF with the motivation of using lightning forecast as a proxy for TC intensity changes. Results from this investigation show mixed results in terms of correlating lightning forecast and TC intensity forecast.
The operational Hurricane Weather Research and Forecast (HWRF) model has been used to...
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