Advancements in hurricane prediction with NOAA's next-generation forecast system
We use the fvGFS model developed at the Geophysical Fluid Dynamics Laboratory to demonstrate the potential of the upcoming United States Next-Generation Global Prediction System for hurricane prediction. The fvGFS retrospective forecasts initialized with the European Centre for Medium-Range Weather Forecasts (ECMWF) data showed much-improved track forecasts for the 2017 Atlantic hurricane season compared to the best-performing ECMWF operational model. The fvGFS greatly improved the ECMWF's poor track forecast for Hurricane Maria (2017). For Hurricane Irma (2017), a well-predicted case by the ECMWF model, the fvGFS produced even lower five-day track forecast errors. The fvGFS also showed better intensity prediction than both the United States and the ECMWF operational models, indicating the robustness of its numerical algorithms.
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https://n2t.org/ark:/85065/d7vt1w5j
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2016-01-01T00:00:00Z
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2019-04-28T00:00:00Z
Copyright 2019 Author(s). This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license.
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