The use of detailed meteorological data with sailing software, in conjunction with sailing the Ma'agan Mikhael II replica ship, has engendered the development of a method for examining maritime mobility of single-masted square sail Mediterranean merchantmen in the Graeco-Roman period, with the initial objective of mapping direct, open sea, return sailing routes from the Levant that a priori lie contrary to the prevailing wind. Many quantitative works have used averaged winds as input, and evaluated sailing passages based on climatological averages, losing information on the intra- and inter-diurnal variability of the winds. Thus their sole measure of mobility has been a representation of sailing speed on direct crossings. Moreover, these studies have not considered the difference between physical and practical mobility, the latter driven by human factors. For instance, the choice of whether to sail, or wait for better conditions. The proposed method uses climatological resources at high spatial and temporal resolutions, with the premise that using high-resolution data reveals the recurring wind variabilities and patterns that are key to mobility, especially on routes lying contrary to the prevailing winds. The method generated a large set of over 5400 simulated sailing outcomes for each route segment, permitting well-established statistical analysis. Inclusion of criteria-based human factors of the mariners of the period provides a measure of mobility, representing not only sailing speed, but also waiting time, and the probability of conducting a feasible passage at a given time of the year. This new method provides deeper insight into maritime mobility and the understanding of seafaring in the Mediterranean, and is applicable to numerous scenarios, providing a practical and improved measure of maritime mobility.

将详细的气象数据与航行软件结合使用，并与Ma'agan Mikhael II航行一起使用复制船促成了一种方法的研究，该方法用于检验格罗科-罗马时期单桅横帆地中海商人的海上机动性，其最初目的是绘制先发制人的黎凡特直航，开海，返航航线与盛行风相反。许多定量研究使用平均风作为输入，并根据气候平均值评估航行通道，从而丢失了关于风的日内和日间变化的信息。因此，他们对机动性的唯一衡量标准就是直渡口航行速度的代表。而且，这些研究没有考虑身体和实际流动性之间的差异，后者是由人为因素驱动的。例如，选择是航行还是等待更好的条件。所提出的方法使用高时空分辨率的气候资源，前提是使用高分辨率数据揭示了反复出现的风的变异性和模式，这对机动性至关重要，尤其是在与盛行风相反的路线上。该方法为每个航路段生成了大量的5400多个模拟航行结果，从而可以进行完善的统计分析。包括该时期水手的基于标准的人为因素，可提供流动性的度量，不仅代表航行速度，而且代表等待时间，以及在一年中的给定时间进行可行通过的可能性。这种新方法可以更深入地了解海上机动性以及对地中海海上航行的了解，并且适用于多种情况，