Validation of impact of assimilation of altimeter satellite significant wave height on wave forecast in the northwest Pacific

WANG Yi; YU Zhou-wen

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WANG Yi, YU Zhou-wen. Validation of impact of assimilation of altimeter satellite significant wave height on wave forecast in the northwest Pacific[J]. Haiyang Xuebao, 2009, 31(6): 1-8.

Citation:

WANG Yi, YU Zhou-wen. Validation of impact of assimilation of altimeter satellite significant wave height on wave forecast in the northwest Pacific[J]. Haiyang Xuebao, 2009, 31(6): 1-8.

WANG Yi, YU Zhou-wen. Validation of impact of assimilation of altimeter satellite significant wave height on wave forecast in the northwest Pacific[J]. Haiyang Xuebao, 2009, 31(6): 1-8.

Citation:

WANG Yi, YU Zhou-wen. Validation of impact of assimilation of altimeter satellite significant wave height on wave forecast in the northwest Pacific[J]. Haiyang Xuebao, 2009, 31(6): 1-8.

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Validation of impact of assimilation of altimeter satellite significant wave height on wave forecast in the northwest Pacific

WANG Yi¹,
YU Zhou-wen²

1.
Ocean University of China, Qingdao 266100, China;National Marine Environment Forecast Center, Beijing 100081, China
2.
National Marine Environment Forecast Center, Beijing 100081, China

Received Date: 2009-07-05
Rev Recd Date: 2009-11-12

Abstract

Abstract

A detailed numerical study was performed to validate the impact of assimilation on three days'wave forecast in the northwest Pacific. The MM5 wind field predicted in NMEFC (National Marine Environment Forecast Center) was used to drive the wave model and altimeter satellite significant wave height provided by Jason-1 satellite were assimilated in the wave model. The optimal interpolation method was used in our assimilation to acquire the optimal analysis of significant wave height and corresponding wave directional spectra. Three days'wave forecast with and without assimilated initial field were computed and the results were compared. The statistical analysis show a considerable improvement in 0～72 h wave forecasting while the improvement goes less sensitive as the forecasting time grows.
- satellite altimeter,
- optimal interpolation,
- wave forecast

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References(24)

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