Quality Management System for an IoT Meteorological Sensor Network-Application to Smart Seoul Data of Things (S-DoT).

ABSTRACT: Meteorological data with a high horizontal resolution are essential for user-specific weather application services, such as flash floods, heat waves, strong winds, and road ice, in urban areas. National meteorological observation networks, such as the Automated Synoptic Observing System (ASOS) and Automated Weather System (AWS), provide accurate but low horizontal resolution data to address urban-scale weather phenomena. Many megacities are constructing their own Internet of Things (IoT) sensor networks to overcome this limitation. This study investigated the status of the smart Seoul data of things (S-DoT) network and the spatial distribution of temperature on heatwave and coldwave event days. The temperature at above 90% of S-DoT stations was higher than that at the ASOS station, mainly

SUBMITTER: Park MS 

PROVIDER: S-EPMC10037411 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature