Modular approach to near-time data management for multi-city atmospheric environmental observation campaigns

Abstract. Urban observation networks are becoming denser, more diverse, and more mobile, while being required to provide results in near time. The Synergy Grant “urbisphere” funded by the European Research Council (ERC) has multiple simultaneous field campaigns in cities of different sizes, collecting data to improve weather and climate models and services, including assessing the impact of cities on the atmosphere (e.g., heat, moisture, pollutant, and aerosol emissions) and people's exposure to extremes (e.g., heat waves, heavy precipitation, air pollution episodes). Here, a solution to this challenge for facilitating diverse data streams from multiple sources, scales (e.g., indoors, regional-scale atmospheric boundary layer), and cities is presented. For model development and evaluation in heterogeneous urban environments, we need meshed networks of in situ observations with ground-based and airborne (remote) sensing platforms. In this contribution we describe challenges, approaches, and solutions for data management, data infrastructure, and data governance to handle the variety of data streams from primarily novel modular observation networks deployed in multiple cities, in combination with existing data collected by partners, ranging in scale from indoor sensor deployments to regional-scale boundary layer observations. A metadata system documents (1) sensors and instruments, (2) the location and configuration of deployed components, and (3) maintenance and events. This metadata system provides the backbone for converting instrument records to calibrated, location-aware, convention-aligned, and quality-assured data products, according to FAIR (findable, accessible, interoperable, and reusable) principles. The data management infrastructure provides services (via, e.g., Application Programming Interface – APIs, apps, integrated computing interfaces – ICEs) for data inspection and subsequent calculations by campaign participants. Some near-real-time distributions are made to international networks (e.g., AERONET, PhenoCam) or local agencies (e.g., GovDATA) with appropriate attribution. The data documentation conventions, used to ensure structured datasets, in this case are used to improve the delivery of integrated urban services, such as to research and operational agencies, across many cities.