The paper addresses the relevant scientific and technical problem of developing theoretical foundations for the quality assessment of spatio-temporal data on atmospheric phenomena obtained via geosensor networks. The limitations of current World Meteorological Organization guidelines are demonstrated. The study substantiates the necessity of employing small-scale monitoring networks to capture local meteorological processes that fall below the resolution limits of national observation systems. The authors formulate the requirement for a model applicable to both internal (provider-side) and external (consumer-side) quality assessment across various scenarios: technology design, supplier selection, and regular input/ output control. A framework consisting of 26 elements is proposed for the subsequent construction of a data quality assessment model. These elements incorporate both the aspects provided by individual geosensors and their internal measurement and processing functions, as well as the emergent properties of the entire geosensor network. The proposed approach accounts for both the instrumental accuracy of individual sensors and systemic network characteristics, including spatial uniformity, temporal regularity, and data timeliness. Finally, future research and development directions in this field are outlined.
Belysheva et al. (Fri,) studied this question.