芬兰群岛的WAM, SWAN和WAVEWATCH III -频谱性能对体波参数的影响

IF 1.7 3区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES
Jan‐Victor Björkqvist, Olga Vähä-Piikkiö, V. Alari, A. Kuznetsova, L. Tuomi
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引用次数: 16

摘要

WAM, SWAN和WAVEWATCH III®在芬兰群岛以0.1 nmi网格实现。与海岸波浪浮标观测结果的比较表明,模型对显著波高的预测结果一致,偏差和均方根误差(RMSE)最大相差0.06 m。一般来说,WAM向群岛传播的长波能量最多,而SWAN产生的局地波能量最高。WAVEWATCH III的性能与风向有关。模型趋势导致它们在靠近海岸的峰值时段不一致,平均值的差异高达1.4 s。群岛内部的大散射(RMSE bbb20 s)主要是由于在更复杂的波浪条件下参数的不明确性质。平均周期的散射较小(RMSE<1.5 s),但在所有模型中,上积分频率从0.6 Hz到1 Hz的变化对偏差的影响大约为1 s。WAM和WAVEWATCH III低估了某些风向下的高频波能,可能是因为摩擦速度太小。从7.4公里的运行大气模型中每3小时获得的风强迫被发现足以强迫高分辨率的波浪模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
WAM, SWAN and WAVEWATCH III in the Finnish archipelago – the effect of spectral performance on bulk wave parameters
ABSTRACT WAM, SWAN and WAVEWATCH III® were implemented to the Finnish archipelago with a 0.1 nmi grid. A comparison with coastal wave buoy observations showed that the models agreed on the significant wave height, with biases and root-mean-square-errors (RMSE) differing at most 0.06 m. In a general sense, WAM propagated most long wave energy into the archipelago, while SWAN generated the highest local waves. The performance of WAVEWATCH III was wind direction dependent. The model tendencies caused them to disagree on the peak period near the coast, with differences in mean values being up to 1.4 s. The large scatter (RMSE>2 s) inside the archipelago was mostly explained by the ill-defined nature of the parameter in more complex wave conditions. The mean period had less scatter (RMSE<1.5 s), but changes in the upper integration frequency from 0.6 Hz to 1 Hz affected the bias by roughly 1 s in all models. WAM and WAVEWATCH III underestimated the high-frequency wave energy for certain wind directions, possibly because of a too small friction velocity. A wind forcing taken every 3 h from a 7.4 km operational atmospheric model was found to be sufficient to force the high-resolution wave models.
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来源期刊
CiteScore
7.50
自引率
9.70%
发文量
8
审稿时长
>12 weeks
期刊介绍: The Journal of Operational Oceanography will publish papers which examine the role of oceanography in contributing to the fields of: Numerical Weather Prediction; Development of Climatologies; Implications of Ocean Change; Ocean and Climate Forecasting; Ocean Observing Technologies; Eutrophication; Climate Assessment; Shoreline Change; Marine and Sea State Prediction; Model Development and Validation; Coastal Flooding; Reducing Public Health Risks; Short-Range Ocean Forecasting; Forces on Structures; Ocean Policy; Protecting and Restoring Ecosystem health; Controlling and Mitigating Natural Hazards; Safe and Efficient Marine Operations
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