A Web Map Service implementation for the visualization of multidimensional gridded environmental data

Blower, Jon; Gemmell, Alastair; Griffiths, Geoffrey; Haines, Keith; Santokhee, Adityarajsingh; Yang, Xiaoyu

doi:10.1016/j.envsoft.2013.04.002

Cited by 59 publications

(43 citation statements)

References 12 publications

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“…Data stored as netCDF files can be downloaded via OPeNDAP 24 (Cornillon et al, 2009). If netCDF files correlate with area data they can be visualised as OGC WMS 25 maps (WMS, 2004) with the help of ncWMS (Blower et al, 2013). In addition, the versatile tool ncWMS is able to create time series plots at selected positions within the represented area of the netCDF file.…”

Section: Web Servicesmentioning

confidence: 99%

Accessing diverse data comprehensively – CODM, the COSYNA data portal

et al. 2016

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Abstract. The coastal observation system COSYNA aims to describe the physical and biogeochemical state of a regional coastal system. The COSYNA data management is the link between observations, model results and data usage. The challenge for the COSYNA data management CODM 1 is the integration of diverse data sources in terms of parameters, dimensionality and observation methods to gain a comprehensive view of the observations. This is achieved by describing the data using metadata in a generic way and by making all gathered data available for different analyses and visualisations in an interrelated way, independent of data dimensionality. Different parameter names for the same observed property are mapped to the corresponding CF 2 standard name (Eaton et al., 2010) leading to standardised and comparable metadata. These metadata together with standardised web services are the base for the data portal. The URLs of these web services are also stored within the metadata as direct data access URLs, e.g. a map such as a GetMap request.

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Section: Web Servicesmentioning

confidence: 99%

Accessing diverse data comprehensively – CODM, the COSYNA data portal

et al. 2016

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“…The WMS services included in the TDS are provided by the ncWMS package (Blower et al, 2013), which introduced some important extensions 15 to effectively create maps from large multidimensional arrays of data. The most important of these extensions is the ability to specify colour scale ranges.…”

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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“…As an alternative, open application programming interface (API) standards such as the Open Geospatial Consortium (OGC) Web Map Service (WMS) allow two computersa web browser and a remote web server -to communicate about data through an agreed-upon protocol (Blower et al, 2013). WMS, as an example, allows web applications to find tiled map images such as those that form the background of modern, interactive web maps like Google Maps.…”

Section: Introductionmentioning

confidence: 99%

“…These geophysical variables are usually derived from satellites (e.g., OCO-2) or models, reanalysis data sets and global or regional Earth system models. Many scientific data sets, particularly level III products, are already stored as binary (flat) files or in complex, hierarchical data structures (e.g., NetCDF or HDF) that were designed to accommodate data cubes (Blower et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Distributed visualization of gridded geophysical data: the Carbon Data Explorer, version 0.2.3

Endsley

Billmire

2016

Geosci. Model Dev.

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Abstract. Due to the proliferation of geophysical models, particularly climate models, the increasing resolution of their spatiotemporal estimates of Earth system processes, and the desire to easily share results with collaborators, there is a genuine need for tools to manage, aggregate, visualize, and share data sets. We present a new, web-based software tool -the Carbon Data Explorer -that provides these capabilities for gridded geophysical data sets. While originally developed for visualizing carbon flux, this tool can accommodate any time-varying, spatially explicit scientific data set, particularly NASA Earth system science level III products. In addition, the tool's open-source licensing and web presence facilitate distributed scientific visualization, comparison with other data sets and uncertainty estimates, and data publishing and distribution.

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A Web Map Service implementation for the visualization of multidimensional gridded environmental data

Cited by 59 publications

References 12 publications

Accessing diverse data comprehensively – CODM, the COSYNA data portal

Accessing diverse data comprehensively – CODM, the COSYNA data portal

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

Distributed visualization of gridded geophysical data: the Carbon Data Explorer, version 0.2.3

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