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Performance of the experimental HWRF in the 2008 Hurricane Season

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Abstract

In response to the needs of improving hurricane forecasts, we have built an experimental version of the operational Hurricane Weather Research and Forecasting Model (HWRF), which is based on the Weather Research and Forecasting Nonhydrostatic Mesoscale Model of the National Oceanic and Atmospheric Administration (NOAA). The experimental HWRF (HWRFx) is adopted to study the intensity change problem at the highest possible resolutions with the existing computing facility, using moving nests to focus the model resolution in the vicinity of the storms. Although this is at an early stage of development, results from real-time experiments in the 2008 hurricane season show that the HWRFx is generally comparable to the NOAA operational models, in terms of the accuracy of both track and intensity forecasts. The HWRFx, however, has a negative bias in the intensity forecasts as opposed to the positive biases of the NOAA operational models. We present in this article a brief description of the HWRFx and its performance during the 2008 hurricane season in comparison with the NOAA operational models.

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Acknowledgments

Dr. Jian-Wen Bao, Robert Tuleya, Vijay Tallapragada, Steven Koch, Stephen Lord, and many other colleagues at the NOAA AOML, ESRL, and EMC have contributed to the development of the HWRFx model with useful comments, inspiring suggestions and enthusiastic support. Mr. Thiago Quirino and Ms. Varsha Sainani helped the operation of the HWRFx during the 2008 hurricane season with system automation and data visualization. The Editor in Chief, Dr. T. S. Murty, and two anonymous reviewers have provided insightful comments leading to the improvement of the manuscript. This work is sponsored by the NOAA Hurricane Forecast Improvement Project.

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Correspondence to Kao-San Yeh.

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Yeh, KS., Zhang, X., Gopalakrishnan, S. et al. Performance of the experimental HWRF in the 2008 Hurricane Season. Nat Hazards 63, 1439–1449 (2012). https://doi.org/10.1007/s11069-011-9787-7

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  • DOI: https://doi.org/10.1007/s11069-011-9787-7

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