A. Quarati, A. Clematis, Giacomo Paschina, A. Parodi, T. Bedrina
{"title":"Lightweight ICT Approaches to Hydro-Meteorological Data Issues","authors":"A. Quarati, A. Clematis, Giacomo Paschina, A. Parodi, T. Bedrina","doi":"10.1109/PDP.2015.12","DOIUrl":null,"url":null,"abstract":"Earth science disciplines have imaginary borders. Earth systems are connected and work integrally. Therefore for geosciences researchers it is critical to find, analyze and publish data across domains. Unfortunately, while searching for and accessing enormous amount of heterogeneous data, scientists and professionals often tackle various types of obstacles that hinder their daily activity. Based on a survey on international initiatives in the field of Hydro-Meteorological research, the paper presents a lightweight approach to answer weather-data issues related to data accessing and retrieving, as well as it briefly describe the OGC proposal to cope with interoperability requirements and introduces a technical solution to deal with high volumes of Hydro-Meteorological sensor data.","PeriodicalId":285111,"journal":{"name":"2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PDP.2015.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Earth science disciplines have imaginary borders. Earth systems are connected and work integrally. Therefore for geosciences researchers it is critical to find, analyze and publish data across domains. Unfortunately, while searching for and accessing enormous amount of heterogeneous data, scientists and professionals often tackle various types of obstacles that hinder their daily activity. Based on a survey on international initiatives in the field of Hydro-Meteorological research, the paper presents a lightweight approach to answer weather-data issues related to data accessing and retrieving, as well as it briefly describe the OGC proposal to cope with interoperability requirements and introduces a technical solution to deal with high volumes of Hydro-Meteorological sensor data.