Abstract
There is an established need for accurate ocean weather predictions in many coastal regions, and we have begun to address this problem for various coastal domains in the Gulf of Maine, the Gulf of Alaska, and the Gulf of Mexico. Prince William Sound (PWS) in Gulf of Alaska, for instance, has been the site of a catastrophic oil spill, and the PWS Oil Spill Recovery Institute has placed much emphasis on environmental prediction to assist mariners. The aim of this paper is to assess the influence of available wind data on the prediction of wave heights in PWS. For this purpose, global (low resolution) as well as the local (high resolution) wind-fields are compared to the available buoy data and subsequently used to drive a state-of-the-art wave model, SWAN. The model results, in hindcast mode, are compared for a period of 16 days using all available wind-fields (local as well as global); while in forecast mode, forecast skill is evaluated with respect to the available buoy data.
| Original language | English |
|---|---|
| Title of host publication | OCEANS 2008 |
| DOIs | |
| Publication status | Published - 2008 |
| Externally published | Yes |
| Event | OCEANS 2008 - Quebec City, QC, Canada Duration: 15 Sep 2008 → 18 Sep 2008 |
Other
| Other | OCEANS 2008 |
|---|---|
| Country | Canada |
| City | Quebec City, QC |
| Period | 15/9/08 → 18/9/08 |
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ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Oceanography
Cite this
Wave forecasting in Prince William Sound (Alaska). / Singhal, Gaurav; Panchang, Vijay.
OCEANS 2008. 2008. 5152004.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Wave forecasting in Prince William Sound (Alaska)
AU - Singhal, Gaurav
AU - Panchang, Vijay
PY - 2008
Y1 - 2008
N2 - There is an established need for accurate ocean weather predictions in many coastal regions, and we have begun to address this problem for various coastal domains in the Gulf of Maine, the Gulf of Alaska, and the Gulf of Mexico. Prince William Sound (PWS) in Gulf of Alaska, for instance, has been the site of a catastrophic oil spill, and the PWS Oil Spill Recovery Institute has placed much emphasis on environmental prediction to assist mariners. The aim of this paper is to assess the influence of available wind data on the prediction of wave heights in PWS. For this purpose, global (low resolution) as well as the local (high resolution) wind-fields are compared to the available buoy data and subsequently used to drive a state-of-the-art wave model, SWAN. The model results, in hindcast mode, are compared for a period of 16 days using all available wind-fields (local as well as global); while in forecast mode, forecast skill is evaluated with respect to the available buoy data.
AB - There is an established need for accurate ocean weather predictions in many coastal regions, and we have begun to address this problem for various coastal domains in the Gulf of Maine, the Gulf of Alaska, and the Gulf of Mexico. Prince William Sound (PWS) in Gulf of Alaska, for instance, has been the site of a catastrophic oil spill, and the PWS Oil Spill Recovery Institute has placed much emphasis on environmental prediction to assist mariners. The aim of this paper is to assess the influence of available wind data on the prediction of wave heights in PWS. For this purpose, global (low resolution) as well as the local (high resolution) wind-fields are compared to the available buoy data and subsequently used to drive a state-of-the-art wave model, SWAN. The model results, in hindcast mode, are compared for a period of 16 days using all available wind-fields (local as well as global); while in forecast mode, forecast skill is evaluated with respect to the available buoy data.
UR - http://www.scopus.com/inward/record.url?scp=70350130848&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70350130848&partnerID=8YFLogxK
U2 - 10.1109/OCEANS.2008.5152004
DO - 10.1109/OCEANS.2008.5152004
M3 - Conference contribution
SN - 9781424426201
BT - OCEANS 2008
ER -