Speaker
Description
As a strategic outcome of the COST Action OpenSense we have started on setting up the Global Microwave Data Collection Initiative (GMDI) via the SetGMDI project, funded via the COST Innovators Grant. Our goal is to address the issue that CML-based rainfall observation is still hindered by legal, business and organizational barriers. Within the SetGMDI consortium, comprising mobile network operators (MNOs), hardware vendors, national meteorological and hydrological services (NMHSs), and academia, we are building a sustainable, scalable solution for global collection of CML data for rainfall monitoring.
In this contribution we will explain the concept of the GMID data collection and processing (CAP) system and will show a small online demo. The system is capable of receiving CML data streams via different interfaces and then stores all data in a time series database for fast access, also via exploring the CML network on a map. In addition the system automatically calculates analytical metrics from the archived data to allow the data providers to detect problematic CMLs. As a next step, these analytical metrics will be coupled with rainfall data. At the time of writing, an online demo with the OpenMRG data is running and three real data sources will be connected within the next weeks so that they can be shown in this contribution as a live demo.