Particle dispersion model

The particle dispersion model used is Pygnome. The forcings used for the forecast are the persistence of the sea current velocity, in its u and v components, and the average wind speed and direction calculated over the previous six hours. The model generates a forecast output with a six-hour time horizon. Every hour, new current and wind data are acquired, thus updating the forecast hour by hour for the next six hours. Full metadata: https://erddap.s4raise.it/erddap/info/unige-dicca_dispersion_forecast_simple_mover/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).

本数据集采用的粒子扩散模型为Pygnome。本预报所用的强迫场包括海流速度（含u、v分量）的持续场，以及基于前六小时计算得到的平均风速与风向。该模型可生成时长为六小时的预报输出。每小时都会获取最新的海流与风场数据，从而逐小时更新未来六小时的预报内容。完整元数据请见：https://erddap.s4raise.it/erddap/info/unige-dicca_dispersion_forecast_simple_mover/index.html。本数据集属于RAISE Spoke 3项目的研究成果之一。RAISE是由意大利大学与研究部依据《国家恢复与韧性计划》（NRRP，使命4、组件2、投资1.5）资助的创新生态系统。