International Journal
on Marine Navigation
and Safety of Sea Transportation
Volume 1
Number 3
September 2007
279
A Numerical Prediction System for Wind and
Sea Wave: A Typhoon Case
Jau-Ming Chen
Center of General Studies and Institute of Navigation Science and Technology,
National Kaohsiung Marine University, Kaohsiung, Taiwan
Jia-Shen Hu
Department of Shipping Technology, National Kaohsiung Marine University,
Kaohsiung, Taiwan
Wen-Laung Huang
Chinese Naval Meteorological and Oceanographic Office, Kaohsiung, Taiwan
Li-Hua Hsu
Institute of Navigation Science and Technology, National Kaohsiung Marine
University, Kaohsiung, Taiwan
ABSTRACT: A numerical model system is constructed to predict surface conditions over the open oceans for
a typhoon case. Its atmospheric and oceanic components are the Weather Research and Forecasting (WRF)
model and the NOAA WaveWatch version 3 (NWW3) model, respectively. The initial condition of the WRF
is obtained from the NCEP aviation forecast, while the WRF-predicted surface winds serve as the boundary
conditions for sea wave prediction of the NWW3.The capability of this model system is evaluated in terms of
the predictions of surface wind and sea waves associated with the typhoon Bilis (No. 0604). This typhoon
formed over the west side of Guam (141?E, 12?N) on July, 9, 2006, and moved northwestward across Taiwan
to decay over southeast China on July, 15, 2006. Its moving track is reasonably predicted by the WRF with an
averaged error of 99 km in 24-hr forecast and of 233 km in 48-hr forecast. These errors are in comparable
ranges with the official typhoon forecasts conducted by weather services in the countries around the Pacific.
The circulation pattern and intensity of surface winds and height of sea waves can be adequately portrayed by
this prediction system in advance by 48 hrs. The dangerous and navigable semicircles of the typhoon are also
clearly delineated. As such, the spatial domains of high wind and high sea are identified, providing potentially
useful information for navigation safety.
1 INTRODUCTION
The global surface observation network is dense
over lands and sparse over oceans. The missing data
over oceans is often filled with satellite observations,
but still to some limits. The satellite observations are
in good quality during the clear-sky day, but easily
distorted by severe weather. Ship observations are
another important data source. However, they are
restricted within the routine commercial routes to
cover certain parts of the ocean. Moreover, ship
observations fail to provide detailed surface
information for severe weather due to its detour for
safety. The real surface conditions underneath a
severe storm over ocean (e.g., typhoon or hurricane)
are still mysterious to us so far.
To overcome this problem, one may take
advantage of the state-of-the-art atmospheric and
oceanic numerical models developed in the recent
years. In other words, a numerical atmosphere-ocean
model system may be constructed for
simulating/predicting the atmospheric and oceanic
conditions associated with the severe weather event.
Such a numerical model simulation/prediction,
although not perfect, can at least provide us a
reasonable guess for surface conditions underneath
and near the storm over the open oceans. The
purpose of this study is to report the construction of
an atmosphere-ocean numerical model system. Its
performance in typhoon prediction is investigated.
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2 THE PREDICTION SYSTEM
The model system constructed in this study aims at
predicting surface wind and sea wave in the western
North Pacific. This system consists of two models.
The atmospheric component is the Weather
Research and Forecasting (WRF) model (Skamarock
et al. 2005), while the oceanic component is the
NOAA WaveWatch version 3 (NWW3) model
(NOAA 2002). Given the NCEP aviation forecast as
the initial boundary condition, the WRF with the
145-km grid is first executed to make prediction for
the 80°-160°E, 10°S-50°N domain. Its predictions
are then dynamically downscaled by the second
WRF with a higher spatial resolution, 15-km grid, in
the 100°-150°E, 0°-35°N domain. Later, the 10-m
winds predicted by the second WRF are used as the
boundary conditions for the NWW3 model to
simulate sea wave, focusing on its height and
propagation. This NWW3 model is in a 0.2° grid and
has a spatial domain of 110°-145°E, 5°-35°N. The
model system is designed for predicting typhoon
activities over the western North Pacific.
3 THE MODEL PERFORMANCE
The prediction of Typhoon Bilis (No. 0604) is
selected as the case for examining the model
performance. Bilis formed over the west side of
Guam (141°E, 12°N) on July, 9, 2006, and moved
northwestward across Taiwan to decay over
southeast China on July, 15, 2006. Such a track is
reasonably predicted by the WRF (Fig. 1) in its
24- and 48- hr forecasts.
Fig. 1. The central position of Typhoon Bilis from observed,
initial condition, 24-hr prediction, and 48-hr prediction.
The averaged error in the spatial position of
typhoon center is 99 km in 24-hr forecast and 233
km in 48-hr forecast. These errors are in comparable
magnitudes with the official typhoon forecasts
conducted by weather services in Taiwan, Japan,
China, and USA, which range 94-110 km for 24-hr
forecast and 173-191 km for 48-hr forecast. The
prediction errors in the magnitude of 10-m winds
along the 125°E longitude (15°N, 20°N, 25°N, and
30°N) are evaluated against observations represented
by the NCEP Reanalysis data (Kalnay et al. 1996).
Table 1 reveals that prediction error in wind
magnitude is largest near the center of typhoon track
(20°N), followed by the dangerous semicircle
(typhoon’s right-hand side at 25°N and 30°N), and
smallest in the navigable semicircle (typhoon’s left-
hand side at 15°N).
Table 1. The averaged errors of 10-m wind magnitude for the
initial condition (0 hr), 24-hr prediction, and 48-hr prediction at
4 different meridional locations along the 125°E longitude
(unit: m/s).
bilis(125E) 0hr 24hr 48hr
15N 2.52 1.44 5.00
20N 5.60 4.75 9.35
25N 4.33 4.09 6.95
30N 4.85 3.02 4.57
The spatial pattern of 10-m winds delineate
clearly that wind speed is apparently larger in the
dangerous semicircle than in the navigable
semicircle (Fig. 2).
Fig. 2. The spatial pattern of predicted high wind ( 30 knots,
shading) at 10 m from the 24-hr prediction of the WRF model.
Sea level pressure is plotted in contours
Regarding the sea wave, the predicted height of
sea wave is validated against the wave analysis
issued by the Japan Meteorological Agency (JMA).
Its prediction errors (Table 2) are largest in the
dangerous semicircle, followed by the typhoon
center, and smallest in the navigable semicircle.
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Table 2. As in Table 1, except for the averaged errors of the
height of sea wave (unit: m).
bilis(125E) 0hr 24hr 48hr
15N 0.98 1.02 1.61
20N 1.11 0.75 2.07
25N 1.83 2.69 3.46
30N 1.33 1.87 2.69
The prediction shows that the height of wave
(Fig. 3) in the dangerous semicircle can be twice as
large as that in the navigable semicircle (9 m vs.
4 m).
Fig. 3. The spatial pattern of predicted sea wave height
(shading) from the 24-hr prediction of the NWW3 model
4 SUMMARY
By investigating the temporal and spatial patterns of
the predicted 10-m winds and sea wave, general
performance of this model system in typhoon
prediction is summarized as follows:
The numerical model system is able to reasonably
capture typhoon track in advance by 24 to 48 hrs.
The dangerous regions with high wind ( 30
knots) and high sea ( 4 m) can be identified.
The spatial range of the prediction error (about
100-240 km) in typhoon center should be added
to broaden the spatial domain of dangerous
regions when the predictions are employed in
navigational plan.
Contrast between the dangerous and navigable
semicircles of the typhoon are clearly portrayed
by this model system. The model prediction
reveals that spatial domain of high wind is much
larger in the dangerous semicircle than that in the
navigable semicircle, while the maximum height
of sea wave is about twice in magnitude in the
former than in the latter.
The model prediction is able to largely simulate
the surface winds and sea wave over the oceans
underneath and near the typhoon. These surface
conditions are potential useful inputs for (1)
constructing the database for a navigational
simulator, (2) making evacuating plan for ship
from the harbor, and (c) issuing early warning for
navigation safety.
REFERENCES
Skamarock et al. 2005: A Description of the Advanced
Research WRF Version 2. NCAR Technical Note,
NCAR/TN-468+STR.
NOAA, 2002: “User manual and system documentation of
WAVE-WATCH-III version 2.22” edited by H. L. Tolman,
NOAA Technical Note.
Kalnay, E. & Coauthors, 1996: The NCEP/NCAR 40-year
Reanalysis Project. Bull. Amer. Meteor. Soc., 77, 437-471.
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