GODIVA2: interactive visualization of environmental data on the Web

Blower, Jon; Haines, Keith; Santokhee, Adityarajsingh; Liu, Chun Lei

doi:10.1098/rsta.2008.0180

Cited by 28 publications

(20 citation statements)

References 3 publications

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“…2. The ncWMS software has been described elsewhere (Blower et al, 2009b) therefore in the following sections we focus on the other elements of the system -the use of WFS for serving in situ data (Sect. 3.1) and the web portal itself (Sect.…”

Section: Technical Approachmentioning

confidence: 99%

“…The Godiva2 project (Blower et al, 2009b) provides the starting point for the work presented here. It provides an efficient means of exploring 4-D environmental model data by generating 2-D maps or 3-D map-movies from data in CF-NetCDF files for remote viewing on an interactive interface based upon OpenLayers, an open-source browser-based map visualization library.…”

Section: Introductionmentioning

confidence: 99%

“…Best et al, 2007;de La Beaujardiere, 2009) and visualizing data (e.g. Blower et al, 2009b;Wei et al, 2009;Huang, 2003).…”

Section: Introductionmentioning

confidence: 99%

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An ECOOP web portal for visualising and comparing distributed coastal oceanography model and in situ data

et al. 2011

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Abstract. As part of a large European coastal operational oceanography project (ECOOP), we have developed a web portal for the display and comparison of model and in situ marine data. The distributed model and in situ datasets are accessed via an Open Geospatial Consortium Web Map Service (WMS) and Web Feature Service (WFS) respectively. These services were developed independently and readily integrated for the purposes of the ECOOP project, illustrating the ease of interoperability resulting from adherence to international standards.The key feature of the portal is the ability to display coplotted timeseries of the in situ and model data and the quantification of misfits between the two. By using standardsbased web technology we allow the user to quickly and easily explore over twenty model data feeds and compare these with dozens of in situ data feeds without being concerned with the low level details of differing file formats or the physical location of the data.Scientific and operational benefits to this work include model validation, quality control of observations, data assimilation and decision support in near real time. In these areas it is essential to be able to bring different data streams together from often disparate locations.

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Section: Technical Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An ECOOP web portal for visualising and comparing distributed coastal oceanography model and in situ data

et al. 2011

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“…Fortunately, the TDS also includes the Godiva2 WMS client which allows for simple preview of individual data sets by providing a web-based GUI that interfaces with the ncWMS services (Blower et al, 2009). …”

Section: Data Previewmentioning

confidence: 99%

Technical note: Harmonising metocean model data via standard web services within small research groups

Signell¹,

Camossi

2016

Ocean Sci.

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Abstract. Work over the last decade has resulted in standardised web services and tools that can significantly improve the efficiency and effectiveness of working with meteorological and ocean model data. While many operational modelling centres have enabled query and access to data via common web services, most small research groups have not. The penetration of this approach into the research community, where IT resources are limited, can be dramatically improved by (1) making it simple for providers to enable web service access to existing output files; (2) using free technologies that are easy to deploy and configure; and (3) providing standardised, service-based tools that work in existing research environments. We present a simple, local brokering approach that lets modellers continue to use their existing files and tools, while serving virtual data sets that can be used with standardised tools. The goal of this paper is to convince modellers that a standardised framework is not only useful but can be implemented with modest effort using free software components.

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“…The system described allows confidence to be put in the diverse types of data that are used, both for research and operationally. Blower et al (2009) describe an interactive visualization and data access website that allows users to explore extremely large datasets without having to install new software or become very proficient in a particular software system. It is based on open international standards, and has been widely adopted internationally already.…”

Section: Advanced Data Handlingmentioning

confidence: 99%