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Development, implementation and analysis of the Tampa Bay coastal prediction system.

机译:坦帕湾沿海预报系统的开发,实施和分析。

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摘要

This objective of this research was to design, develop, implement and assess a new methodology for producing accurate coastal predictions of water levels and currents. The culmination of this research is an operational Coastal Prediction System (CPS) that reliably produces predictions that are generally more accurate and spatially resolved than the existing harmonic analysis method.; The architecture of the Coastal Prediction System consists of automated, integrated, subsystems for acquisition, processing and quality control of data; three-dimensional numerical circulation modeling; and dissemination of results to the Internet. Tampa Bay, Florida was selected as the test bed for this research.; Predictions made by the system can be for past, present, future or specified time frames (hindcast, nowcast, forecast or on-demand).; The hindcast protocol is operated in a manual mode, and is used for the purposes of providing a detailed calibration of the numerical model, and a subsequent framework for conducting detailed scientific and management studies.; Both the nowcast and forecast protocols are fully automated. The nowcast model performs model integration updates on the order of every 6 to 12 minutes. The forecast protocol performs 24 hour forecasts every 4 hours. The on-demand protocol is manually invoked, but can automatically perform simulations spanning hindcast to forecast time frames.; Skill assessment of the hindcast model using National Ocean Service methods obtained water level skill scores (SD, SA, and SL), of 96.4%, 95.9%, and 94.1%, and current skill scores of 90.5%, 88.6%, and 89.9%. The mean error (ME) and mean absolute error (MAE) of the modeled salinity and observed salinity was less than 0.23 and 0.85 psu, respectively.; Skill assessment of the automated nowcast protocol, during the year 2000, obtained water level skill scores of 95.6%, 95.5%, and 94.6%, and current skill scores of 91.7%, 91.5%, and 90.5%.; A method for constructing the open boundary forecast water level was developed that showed during year 2000, improvements relative to tidal harmonics were 39% and 77% for MAE and frequency of absolute errors greater than 0.15 meters (outliers).; Skill assessment of the automated forecast protocol, during June through December 2001, obtained National Ocean Service water level skill scores of 90.2%, 91.9%, and 93.9%. With respect to the MAE, the forecast model water levels were 50.0% more accurate than the harmonics. The forecast model obtained skill scores for currents of (SD, SA, and SL) of 89.3%, 86.0% and 87.2%. The harmonic current skill scores were slightly higher, with values of 91.1%, 88.4% and 88.3%.; Analysis indicates that during year 2000, the automated nowcast protocol routinely provides disseminated products within a lag of 0.27 hours of the present time, while the forecast protocol reliably produces predictions with 24 hour leads.; The results of this research soundly demonstrate that the CPS is a feasible method for reliably producing accurate predictions of water levels and currents. Although developed in a research mode, this technology can be readily implemented in a fully operational mode. In this manner, this technology can be expected to radically enhance the present procedures for maritime, research, military and public sectors to obtain coastal predictions.
机译:这项研究的目的是设计,开发,实施和评估一种新的方法,以产生精确的沿海水位和水流预测。该研究的最高点是可操作的海岸预测系统(CPS),该系统可可靠地产生比现有谐波分析方法更准确和空间解析的预测。沿海预测系统的体系结构包括用于数据采集,处理和质量控制的自动化,集成子系统。三维数值循环建模;并将结果传播到互联网。佛罗里达的坦帕湾被选为这项研究的试验床。系统做出的预测可以是过去,现在,将来或指定的时间范围(后播,近播,预测或点播)。后播协议以手动模式操作,用于提供数值模型的详细校准以及进行详细的科学和管理研究的后续框架。临近预报和预报协议都是完全自动化的。即时广播模型每6到12分钟执行一次模型集成更新。预测协议每4小时执行24小时预测。按需协议是手动调用的,但是可以自动执行从后播到预测时间范围的模拟。使用国家海洋服务局方法对后播模型进行的技能评估获得的水位技能得分(SD,SA和SL)分别为96.4%,95.9%和94.1%,当前技能得分为90.5%,88.6%和89.9% 。模拟盐度和观测盐度的平均误差(ME)和平均绝对误差(MAE)分别小于0.23和0.85 psu。在2000年期间,对自动临近预报协议的技能评估获得了95.6%,95.5%和94.6%的水位技能得分,以及当前的91.7%,91.5%和90.5%的技能得分。开发了一种建立开放边界预测水位的方法,该方法表明在2000年期间,MAE和绝对误差频率大于0.15米(离群值)的潮汐谐波改善分别为39%和77%。在2001年6月至2001年12月期间,对自动预报协议的技能评估获得了国家海洋服务局水位技能得分,分别为90.2%,91.9%和93.9%。关于MAE,预测模型的水位比谐波精确50.0%。该预测模型获得的电流(SD,SA和SL)的技能得分分别为89.3%,86.0%和87.2%。谐波电流技能得分略高,分别为91.1%,88.4%和88.3%。分析表明,在2000年期间,自动临近预报协议通常在当前时间的0.27小时内提供已分发的产品,而预报协议则可靠地产生了24小时潜在客户的预报。这项研究的结果很好地证明了CPS是可靠地产生准确的水位和水流预测的一种可行方法。尽管以研究模式开发,但可以在完全操作模式下轻松实施该技术。以这种方式,可以预期该技术将从根本上增强海事,研究,军事和公共部门获得海岸预测的现有程序。

著录项

  • 作者

    Vincent, Mark Stanley.;

  • 作者单位

    University of South Florida.;

  • 授予单位 University of South Florida.;
  • 学科 Engineering Marine and Ocean.; Physical Oceanography.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 253 p.
  • 总页数 253
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 海洋工程;海洋物理学;
  • 关键词

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