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Performance of a nowcast/forecast system for Prince William Sound, Alaska

机译:阿拉斯加威廉王子湾的临近预报/预报系统的性能

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A coastal ocean extended Prince William Sound nowcast/forecast system (EPWS/NFS) has been running semi-automatically for an extended domain of Prince William Sound (PWS), Alaska for 2 years. To determine the performance of this modeling system, an assessment is conducted. EPWS/NFS and PWS/NFS (viz., its predecessor) nowcasts are compared with observed time series of sea surface temperature (SST) and coastal sea level (CSL) at a few stations, and to velocity profiles from a moored ADCP. With the extension of the model domain to include the continental shelf outside PWS and forced by an operational global ocean model (Global-Navy Coastal Ocean Model (Global-NCOM)) and a 2D tidal model at the open boundary, EPWS/NFS has achieved significant improvement over PWS/NFS, which covered only PWS per se, for most of the predicted variables in this study. In both magnitude and phase, EPWS/NFS accurately predicts the coastal tide fluctuations, as well as M2 tidal currents in Central Sound, although significant errors in coastal tides exist during some spring and neap tide cycles. Other than for the tidal motions, EPWS/NFS generally produces less energetic CSL and velocity variations than those observed. In comparison, although PWS/NFS well predicts the coastal tides, it suffers from the absence of low-frequency CSL variations, as well as misprediction of M2 tidal currents in Central Sound. For 40h low-passed PWS/NFS and EPWS/NFS velocities, significant phase error occurs during the model-date comparison period, while EPWS/NFS nowcasts generally produce less root-mean-square-error (rmse) and smaller correlations with the observations than PWS/NFS does. Both observations and EPWS/NFS have similar vertical profiles of baroclinic velocity standard deviations, but some substantial discrepancies occur in the velocity direction. Also, in the Central Sound, EPWS/NFS predicts well the SST seasonal cycle and a major cooling event during the summer 2005. However, for periods shorter than I week, both PWS/NFS and EPWS/NFS SST underestimated the observed fluctuations by an order of magnitude. (c) 2007 Elsevier Ltd. All rights reserved.
机译:沿海海洋扩展的威廉王子湾临近预报/预报系统(EPWS / NFS)已为阿拉斯加的威廉王子湾扩展预报范围(PWS)半自动运行了两年。为了确定该建模系统的性能,需要进行评估。将EPWS / NFS和PWS / NFS(即其前身)临近预报的数据与几个站点观测到的海面温度(SST)和沿海海平面(CSL)的时间序列进行比较,并与停泊的ADCP的速度剖面进行比较。随着模型域的扩展,包括PWS以外的大陆架,并受到可操作的全球海洋模型(Global-Navy Coastal Ocean Model(Global-NCOM))和开放边界的二维潮汐模型的推动,EPWS / NFS实现了对于本研究中的大多数预测变量,与仅涵盖PWS本身的PWS / NFS相比,有了显着改进。在幅度和相位上,EPWS / NFS都能准确预测沿海潮汐波动以及中央海峡中的M2潮汐流,尽管在某些春季和小潮周期中沿海潮汐存在明显误差。除了潮汐运动外,EPWS / NFS通常产生比观察到的少的高能CSL和速度变化。相比之下,尽管PWS / NFS可以很好地预测沿海潮汐,但它缺乏低频CSL变化以及中央声音中M2潮流的误判。对于40h低通的PWS / NFS和EPWS / NFS速度,在模型日期比较期间会发生明显的相位误差,而EPWS / NFS临近预报通常会产生较小的均方根误差(rmse),并且与观测值的相关性较小比PWS / NFS好。观测值和EPWS / NFS都具有类似的斜压速度标准偏差垂直剖面,但是在速度方向上会出现一些实质性的差异。同样,在中央声音区,EPWS / NFS很好地预测了SST的季节周期和2005年夏季期间的主要降温事件。但是,对于短于I周的时间段,PWS / NFS和EPWS / NFS SST都低估了观测到的波动。数量级。 (c)2007 Elsevier Ltd.保留所有权利。

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