Designing sea ice web APIs for ice information services

Due to climate change and global warming, sea ice studies have recently gained more and more attention from various fields. Despite previous work on sea ice data collection, digitalization and dissemination over the web, efficient sharing of ice data and information remains unsolved. Further, little...

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Veröffentlicht in:	Earth science informatics Jg. 8; H. 3; S. 483 - 497
Hauptverfasser:	Liu, Xintao, Li, Songnian, Huang, Wei, Gong, Jun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2015 Springer Nature B.V
Schlagworte:	API Application programming interface Climate change Data collection Earth and Environmental Science Earth Sciences Earth System Sciences Global warming Ice Information services Information Systems Applications (incl.Internet) Online Ontology Research Article Sea ice Simulation and Modeling Space Exploration and Astronautics Space Sciences (including Extraterrestrial Physics User requirements World Wide Web Service Application programming interface Climate Web Sharing Sea ice
ISSN:	1865-0473, 1865-0481
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Abstract	Due to climate change and global warming, sea ice studies have recently gained more and more attention from various fields. Despite previous work on sea ice data collection, digitalization and dissemination over the web, efficient sharing of ice data and information remains unsolved. Further, little has been done on analyzing specific sea ice data user requirements and developing flexible web-based processing and analytical services based on existing studies, which are useful for both sea ice and non-sea-ice data users. In this paper, we aim to develop a series of Google Maps-like sea ice web application programming interfaces (API) for JavaScript, which provide a flexible and easy-to-use way to enable online sea ice data sharing, visualization and spatio-temporal analyses. We identify sea ice data user requirements at different levels through investigating a group of interested Canadian northerners, and then we design and implement an online sea ice web APIs prototype. We also provide a web tool for registering and sharing other ice web services and an online web coding and debugging sandbox to facilitate and attract more sea ice users and developers. We believe this work will be a good example and potentially benefit the development of web APIs for sea ice data and information services as well as other relevant studies.
AbstractList	Due to climate change and global warming, sea ice studies have recently gained more and more attention from various fields. Despite previous work on sea ice data collection, digitalization and dissemination over the web, efficient sharing of ice data and information remains unsolved. Further, little has been done on analyzing specific sea ice data user requirements and developing flexible web-based processing and analytical services based on existing studies, which are useful for both sea ice and non-sea-ice data users. In this paper, we aim to develop a series of Google Maps-like sea ice web application programming interfaces (API) for JavaScript, which provide a flexible and easy-to-use way to enable online sea ice data sharing, visualization and spatio-temporal analyses. We identify sea ice data user requirements at different levels through investigating a group of interested Canadian northerners, and then we design and implement an online sea ice web APIs prototype. We also provide a web tool for registering and sharing other ice web services and an online web coding and debugging sandbox to facilitate and attract more sea ice users and developers. We believe this work will be a good example and potentially benefit the development of web APIs for sea ice data and information services as well as other relevant studies. Issue Title: Special Issue: Intelligent GIServices (pp 461 - 538) Due to climate change and global warming, sea ice studies have recently gained more and more attention from various fields. Despite previous work on sea ice data collection, digitalization and dissemination over the web, efficient sharing of ice data and information remains unsolved. Further, little has been done on analyzing specific sea ice data user requirements and developing flexible web-based processing and analytical services based on existing studies, which are useful for both sea ice and non-sea-ice data users. In this paper, we aim to develop a series of Google Maps-like sea ice web application programming interfaces (API) for JavaScript, which provide a flexible and easy-to-use way to enable online sea ice data sharing, visualization and spatio-temporal analyses. We identify sea ice data user requirements at different levels through investigating a group of interested Canadian northerners, and then we design and implement an online sea ice web APIs prototype. We also provide a web tool for registering and sharing other ice web services and an online web coding and debugging sandbox to facilitate and attract more sea ice users and developers. We believe this work will be a good example and potentially benefit the development of web APIs for sea ice data and information services as well as other relevant studies.
Author	Liu, Xintao Huang, Wei Gong, Jun Li, Songnian
Author_xml	– sequence: 1 givenname: Xintao surname: Liu fullname: Liu, Xintao organization: Department of Civil Engineering, Ryerson University – sequence: 2 givenname: Songnian surname: Li fullname: Li, Songnian email: snli@ryerson.ca organization: Department of Civil Engineering, Ryerson University – sequence: 3 givenname: Wei surname: Huang fullname: Huang, Wei organization: Department of Civil Engineering, Ryerson University – sequence: 4 givenname: Jun surname: Gong fullname: Gong, Jun organization: School of Software, Jiangxi Normal University
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References_xml	– reference: Canadian Ice Service (CIS) (2005) Manual of standard procedures for observing and reporting ice condition (MANICE) – reference: Frolov I, Danilov A, Dmitriev V, Gerasimova T (2014) State Research Center “Arctic and Antarctic Research Institute” - leader of Russian Polar science. http://www.aari.nw.ru/main.php?lg=1. Accessed 18 Oct 2014 – reference: RothrockDAThomasDRThorndkeASPrincipal component analysis of satellite passive microwave data over sea iceJ Geophys Res: Oceans (1978–2012)198893C32321233210.1029/JC093iC03p02321 – reference: ZhangDSunBKeCQLiXCuiXBGuoJXMapping the elevation change of Lambert Glacier in East Antarctica using ICESat GLASJ Maps20128447347710.1080/17445647.2012.747355 – reference: Rayner NA, Parker DE, Horton EB, Folland CK, Alexander LV, Rowell DP, Kent EC, Kaplan A (2003) Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century. J Geophys Res: Atmos (1984–2012) 108(D14) – reference: Alaska Ocean Observing System (AOOS) (2014) The AOOS Data Resources Page. http://www.aoos.org/welcome-to-the-aoos-data-resources-page. Accessed 18 Oct 2014 – reference: KnightRWIntroduction to a new sea-ice databaseAnn Glaciol198458184 – reference: YuJBenatallahBCasatiFDanielFUnderstanding mashup developmentInternet Comput IEEE2008125445210.1109/MIC.2008.114 – reference: GeoServer (2014) GeoServer is an open source server for sharing geospatial data. http://geoserver.org/. Accessed 18 Oct 2014 – reference: LiSXiongCOuZA web GIS for sea ice information and an ice service archiveTrans GIS201115218921110.1111/j.1467-9671.2011.01250.x – reference: NASA (2014) An Overview of EOSDIS. https://earthdata.nasa.gov/about-eosdis. Accessed 18 Oct 2014 – reference: OuZZhuJAIS database powered by GIS technology for maritime safety and securityJ Navig200861465510.1017/S0373463308004888 – reference: Canadian Ice Service (CIS) (2013) IceGraph20. http://iceweb1.cis.ec.gc.ca/IceGraph20. Accessed 18 Oct 2014 – reference: BenslimaneDDustdarSShethAServices Mashups: the new generation of web applicationsInternet Comput IEEE2008125131510.1109/MIC.2008.110 – reference: LiuXLiSLiSArmenakisCLiuXTowards a spatio-temporal database structure for Canadian ice service portalProceedings of the Joint CIG annual conference and EOGC’2013 Conference2013TorontoLibrary of Ryerson University3538 – reference: Custer A (2011) GeoAPI 3.0 Implementation Standard. Open Geospatial Consortium (OGC), 3–4. Http://www.opengeospatial.org/standards/geoapi. Accessed 18 Oct 2014 – reference: Eicken H, Lovecraft AL, Druckenmiller ML (2009) Sea-ice system services: a framework to help identify and meet information needs relevant for Arctic observing networks. Arctic 119–136 – reference: Troger P, Rajic H, Haas A, Domagalski P (2007) Standardization of an API for distributed resource management systems. In: Cluster computing and the grid, 2007. CCGRID 2007. Seventh IEEE International Symposium on (619–626). IEEE – reference: Casati F, Daniel F, Angeli AD, Imran M, Soi S, Wilkinson CR, Marchese M (2012) Developing Mashup tools for end-users: on the importance of the application domain. Intl J Next Gener Comput 3(2) – reference: Ou Z (2004) An integrated spatial information system for ice service. In: Proceedings of 20 th ISPRS Congress, Istanbul, Turkey, 12–23 – reference: World Wide Web Consortium (W3C) (2013) Retrieved January 5, 2014, from www.w3.org/ – reference: LenormandFDuguayCRGauthierRDevelopment of a historical ice database for the study of climate change in CanadaHydrol Process200216183707372210.1002/hyp.1235 – reference: ProgrammableWeb (2013) Retrieved January 5, 2014, from www.programmableweb.com/ – reference: GeoTools (2014) GeoTools Documentation. http://docs.geotools.org/. Accessed 18 Oct 2014 – reference: CallawayEGlobal genomic data -sharing effort kicks offNature2014 – reference: Liu X (2012) The Principle of Scaling of Geographic Space and its Application in Urban Studies. Unpublished doctoral dissertation, Royal Institute of Technology, Sweden – reference: Alaska Satellite Facility (ASF) (2014) The Alaska Satellite Facility’s API. http://www.asf.alaska.edu/get-data/api. Accessed 18 Oct 2014 – reference: Bjornsson H, Venegas SA (1997) A manual for EOF and SVD analyses of climatic data. CCGCR Rep 97(1) – reference: Rivero JM, Grigera J, Rossi G, Luna ER, Koch N (2012) Towards agile model-driven web engineering. In: IS Olympics: information systems in a diverse world (142–155). 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SubjectTerms	API Application programming interface Climate change Data collection Earth and Environmental Science Earth Sciences Earth System Sciences Global warming Ice Information services Information Systems Applications (incl.Internet) Online Ontology Research Article Sea ice Simulation and Modeling Space Exploration and Astronautics Space Sciences (including Extraterrestrial Physics User requirements World Wide Web
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Title	Designing sea ice web APIs for ice information services
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