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

作者：Matthias Zeeman, Andreas Christen, Sue Grimmond, Daniel Fenner, William H. Morrison, Gregor Feigel, Markus Sulzer, Nektarios Chrysoulakis · 发表于：Geoscientific instrumentation, methods and data systems · 年份：2024 · DOI：10.5194/gi-13-393-2024 · 被引用次数：7 · 研究领域：Atmospheric and Environmental Gas Dynamics、Meteorological Phenomena and Simulations、Remote Sensing in Agriculture

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 m...