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OpenRainER is an open-source dataset containing two years of data (2021 and 2022) from both conventional sensors (CS), such as radars and rain gauges from Arpae-SIMC, and opportunistic sensors (OS), in this case Commercial Microwave Links (CML) from the Lepida ScpA (Bologna, IT) network. Following the OpenSense community recommendations, the dataset is released under a Creative Commons license (CC-BY 4.0). This will promote scientific research about OS and encourage the exploitation of CML as a source for rainfall data. OpenRainER offers the opportunity to serve as benchmark dataset for CML retrieval algorithms and validation techniques over long periods and complex terrain.
weather radar, rainfall, commercial microwave link, open data, commercial microwave links, rain, opensense, precipitation, opportunistic sensors, rain gauge, CML, opportunistic sensing
weather radar, rainfall, commercial microwave link, open data, commercial microwave links, rain, opensense, precipitation, opportunistic sensors, rain gauge, CML, opportunistic sensing
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |