技术
- 传感器 - 环境传感器
- 传感器 - 电表
适用行业
- 航天
- 农业
适用功能
- 维护
- 产品研发
用例
- 农业无人机
- 智慧城市供水管理
服务
- 云规划/设计/实施服务
- 培训
关于客户
本案例研究的客户是苏黎世瑞士联邦理工学院 (ETH Zurich) 的大气物理小组,由 Ulrike Lohmann 教授领导。该小组参与气候研究,重点研究云的形成和演化,特别是云与气溶胶的相互作用。他们的项目之一 CLOUDLAB 致力于提高对云微物理过程和降水形成的理解,以更好地模拟和预测降水事件。该小组利用多维观测和数值模型,在冬季层云中进行人工播种实验,以研究冰晶的形成和生长。
挑战
云在调节地球气候方面发挥着至关重要的作用,了解其微物理是更准确气候预测的关键。然而,云和云-气溶胶相互作用是这些预测不确定性的主要来源。诸如云在气候变暖时如何变化及其对地球辐射预算的影响等问题尚未得到充分解答。苏黎世瑞士联邦理工学院(ETH Zurich)的大气物理小组致力于研究云的形成和演化,特别是云与气溶胶的相互作用。他们的项目 CLOUDLAB 旨在提高对云微物理过程和降水形成的理解。然而,云粒子、风和气溶胶浓度的数据收集过程多年来一直在发展,每种方法都面临着自己的挑战。地面测量受到地面和吹雪的影响,而缆车和系留气球上的测量提供了有限的垂直结构和位置可能性。
解决方案
为了克服这些挑战,CLOUDLAB 团队采用了 Meteomatics 的气象无人机或 Meteodrones。这些无人机使用集成大气测量传感器提供更灵活的测量路径,并使团队能够进行有针对性的云播种实验。气象无人机经过精心设计,能够抵抗极低的温度和高风速,使其成为飞入过冷云层进行播云的理想选择。该团队可以准确控制将粒子注入云中的位置,并直接测量下游冰晶以推断冰晶生长速率。 Meteomatics 为 CLOUDLAB 创建了定制解决方案,提供了两台适合其特定需求的 MM-670 ML Meteodrones。一架无人机配备了用于播云的照明弹,另一架无人机配备了光学粒子计数器,用于测量飞行中的气溶胶粒子。无人机软件也进行了调整,以便 CLOUDLAB 团队更轻松地配置其飞行任务。
运营影响
数量效益
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