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ZENODO
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White Paper: Enhancing Weather Monitoring in Africa - The Role of NRENs and IoT Technologies

Authors: Zennaro, Marco; Oaiya, Omo; Pietrosemoli, Ermanno; Paškauskas, Rytis; Boubakar Barry;

White Paper: Enhancing Weather Monitoring in Africa - The Role of NRENs and IoT Technologies

Abstract

This white paper focuses on leveraging National Research and Education Networks (NRENs) and collaborations with meteorological agencies to enhance weather monitoring in Africa. By integrating low-cost weather stations based on IoT technologies, particularly LoRaWAN, these partnerships offer affordable and sustainable solutions to improve access to weather data across the continent. NRENs' high-speed networking capabilities facilitate seamless data collection, sharing, and transmission, thereby significantly enhancing the accuracy of weather forecasts. Working with meteorological agencies, NRENs play a pivotal role in providing real-time weather data, aiding decision-making in critical sectors such as agriculture, transportation, and disaster management, and contributing to overall socioeconomic progress in Africa.

Keywords

AfricaConnect3, Agriculture, Transportation, WACREN, Disaster management, NRENs (National Research and Education Networks), Weather forecasting, LoRaWAN, Low-cost weather stations, Sustainable solutions, Africa, IoT technologies, Data collection, Meteorological agencies, Weather monitoring

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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87