Impact of Storm Size on Prediction of Storm Track and Intensity Using the 2016 Operational GFDL Hurricane Model

Bender, Morris A.; Marchok, Timothy P.; Sampson, Charles R.; Knaff, John A.; Morin, Matthew J.

doi:10.1175/waf-d-16-0220.1

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Impact of Storm Size on Prediction of Storm Track and Intensity Using the 2016 Operational GFDL Hurricane Model

2017
By Bender, Morris A. ; Marchok, Timothy P. ; Sampson, Charles R. ; ...
Source: Weather and Forecasting, 32(4), 1491-1508

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Journal Title:

Weather and Forecasting
Personal Author:

Bender, Morris A. ; Marchok, Timothy P. ; Sampson, Charles R. ; Knaff, John A. ; Morin, Matthew J.

Bender, Morris A. ; Marchok, Timothy P. ; Sampson, Charles R. ; Knaff, John A. ; Morin, Matthew J. Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; OAR (Oceanic and Atmospheric Research) ; GFDL (Geophysical Fluid Dynamics Laboratory)

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; OAR (Oceanic and Atmospheric Research) ; GFDL (Geophysical Fluid Dynamics Laboratory) Less -
Description:

The impact of storm size on the forecast of tropical cyclone storm track and intensity is investigated using the 2016 version of the operational GFDL hurricane model. Evaluation was made for 1529 forecasts in the Atlantic, eastern Pacific, and western North Pacific basins, during the 2014 and 2015 seasons. The track and intensity errors were computed from forecasts in which the 34-kt (where 1 kt = 0.514 m s−1) wind radii obtained from the operational TC vitals that are used to initialize TCs in the GFDL model were replaced with wind radii estimates derived using an equally weighted average of six objective estimates. It was found that modifying the radius of 34-kt winds had a significant positive impact on the intensity forecasts in the 1–2 day lead times. For example, at 48 h, the intensity error was reduced 10%, 5%, and 4% in the Atlantic, eastern Pacific, and western North Pacific, respectively. The largest improvements in intensity forecasts were for those tropical cyclones undergoing rapid intensification, with a maximum error reduction in the 1–2 day forecast lead time of 14% and 17% in the eastern and western North Pacific, respectively. The large negative intensity biases in the eastern and western North Pacific were also reduced 25% and 75% in the 12–72-h forecast lead times. Although the overall impact on the average track error was neutral, forecasts of recurving storms were improved and tracks of nonrecurving storms degraded. Results also suggest that objective specification of storm size may impact intensity forecasts in other high-resolution numerical models, particularly for tropical cyclones entering a rapid intensification phase.
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Cyclones Mathematical Models Weather Forecasting
Source:

Weather and Forecasting, 32(4), 1491-1508
DOI:

https://doi.org/10.1175/waf-d-16-0220.1
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Journal Article
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urn:sha256:05e57d25f94e011295dafc3d40626b49ffbdf961086c2445b30bda9a02c77171
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https://repository.library.noaa.gov/view/noaa/43968/noaa_43968_DS1.pdf
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Impact of Storm Size on Prediction of Storm Track and Intensity Using the 2016 Operational GFDL Hurricane Model

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