Information on the water vapor distribution of the troposphere is useful for weather monitoring and forecast. Water vapor distribution can be estimated from tropospheric delays produced by high-grade Global Navigation Satellite System (GNSS) receivers. This type of techniques is currently used in the data assimilation process of Numerical Weather Prediction (NWP) models, especially, for the limited areas covered by these high-grade GNSS networks. We consider a new collaborative crowdsourcing-based alternative for obtaining these GNSS meteorology measurements. It relies on a GNSS smartphone receiver network, and hence promises to expand the use of GNSS meteorology techniques into areas not covered by high-end receiver networks. In order to assess the feasibility of estimating the troposphere water vapor distribution using such receiver networks, it is proposed a system architecture that supports the troposphere water vapor distribution estimation using a smartphone network. Next, it is presented the simulator test-bed that has been developed to emulate the proposed system in a representative way and to assess the system performances. The main motivation behind the simulator is that it provides a controlled environment for testing our method.

关于对流层水汽分布的信息对天气监测和预报很有用。可以根据高级全球导航卫星系统 (GNSS) 接收器产生的对流层延迟来估计水汽分布。此类技术目前用于数值天气预报 (NWP) 模型的数据同化过程，尤其是针对这些高级 GNSS 网络覆盖的有限区域。我们考虑了一种新的基于协作众包的替代方案来获得这些 GNSS 气象测量。它依赖于 GNSS 智能手机接收器网络，因此有望将 GNSS 气象技术的使用扩展到高端接收器网络未覆盖的领域。为了评估使用此类接收器网络估算对流层水汽分布的可行性，提出了一种支持使用智能手机网络进行对流层水汽分布估计的系统架构。接下来，介绍了已开发的模拟器测试台，用于以具有代表性的方式模拟所提议的系统并评估系统性能。模拟器背后的主要动机是它为测试我们的方法提供了一个受控环境。