2012
DOI: 10.5194/nhess-12-1961-2012
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ICT approaches to integrating institutional and non-institutional data services for better understanding of hydro-meteorological phenomena

Abstract: Abstract. It is widely recognised that an effective exploitation of Information and Communication Technologies (ICT)is an enabling factor to achieve major advancements in Hydro-Meteorological Research (HMR). Recently, a lot of attention has been devoted to the use of ICT in HMR activities, e.g., in order to facilitate data exchange and integration, to improve computational capabilities and consequently model resolution and quality. Nowadays, ICT technologies have demonstrated that it is possible to extend moni… Show more

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Cited by 17 publications
(8 citation statements)
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“…The internet resource known as Weather Underground has a vast repository of free weather data recorded by thousands of individual weather stations. All data are uploaded to the website http://www.wunderground.com at near-real-time and upto-date weather conditions (Williams et al 2011;Bedrina et al 2012). Data are made available every half hour.…”
Section: In Situ Measurement (Air Quality and Weather Observations)mentioning
confidence: 99%
“…The internet resource known as Weather Underground has a vast repository of free weather data recorded by thousands of individual weather stations. All data are uploaded to the website http://www.wunderground.com at near-real-time and upto-date weather conditions (Williams et al 2011;Bedrina et al 2012). Data are made available every half hour.…”
Section: In Situ Measurement (Air Quality and Weather Observations)mentioning
confidence: 99%
“…But in most cases the use of one or a few, static, chains of models is considered. The DRIHM approach is to provide advanced services to integrate heterogeneous HMR models, tools and data [8]. To validate the effectiveness of the DRIHM approach, consider a Hydro-Meteo researcher who has just performed a hydro-meteorological simulation, but she/he would like to validate her/his new results by cross-checking the prediction computed by her/his chain with those computed by similar model chains.…”
Section: Introductionmentioning
confidence: 99%
“…Personal weather stations (PWSs) are being increasingly used to provide a higher spatial and temporal resolution of rainfall measurements [5]. This spread of crowdsourced data collection using sensor-packed Internet of Things (IoT) devices is leading to more real time, hyper-local stormwater management for the built environment based on sophisticated flood prediction models [1]. Consider the example of one of the largest crowdsourced weather networks -Weather Underground -which includes over 250,000 PWSs owned and operated by private citizens.…”
Section: Introductionmentioning
confidence: 99%