A decision tool for choosing most efficient unmanned aerial vehicles (UAV's)/remotely piloted aircraft (RPA) for Meteorological/ Oceanographic (METOC) data collection is presented. A Microsoft Access database query (written in Structured Query Language) links RPA flight performance parameters to individualized METOC Elements of Measurement, a subset of a larger Joint Service METOC Requirements database table, presented elsewhere in the thesis in full. Successful aircraft performance parameters include vast controllability/ programmability ranges, flexible (including shipboard) launches and recoveries, atmospheric profiling capabilities, hover ability, long endurance and airframes free of propeller or rotor wash. A sampling of existing (or planned) airborne METOC instrumentation, their ranges and accuracies are included, in database form, for further reference.
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机译：提出了一种决策工具，用于选择用于气象/海洋学（METOC）数据收集的最高效的无人机（UAV）/遥控飞机（RPA）。 Microsoft Access数据库查询（用结构化查询语言编写）将RPA飞行性能参数链接到个性化的METOC测量要素，这是较大的联合服务METOC需求数据库表的子集，在本文的其他地方完整介绍。成功的飞机性能参数包括广泛的可控制性/可编程性范围，灵活的（包括舰载）下水和回收，大气轮廓分析能力，悬停能力，持久性以及机身不带螺旋桨或旋翼清洗器。数据库形式包括了现有（或计划中的）机载METOC仪器的采样，其范围和精度，以供进一步参考。
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