The Earth System Grid Federation: An open infrastructure for access to distributed geospatial data

Cinquini, L.; Crichton, Daniel J.; Mattmann, Chris A.; Harney, John; Shipman, Galen; Wang, Feiyi; Ananthakrishnan, R.; Miller, Neill; Denvil, Sébastien; Morgan, Mark; Pobre, Zed; Bell, Gavin; Doutriaux, Charles; Drach, R.; Williams, D. N.; Kershaw, Philip; Pascoe, Stephen; Gonzalez, Estanislao; Fiore, Sandro; Schweitzer, R.

doi:10.1016/j.future.2013.07.002

Cited by 192 publications

(119 citation statements)

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“…We downloaded monthly output of ESMs from the Program for Climate Model Diagnosis and Intercomparison (PCMDI) server: Earth System Grid Federation (Cinquini et al 2014) (http://cmip-pcmdi.llnl.gov/cmip5). For each individual model, only output from the first realization (r1i1p1) was used in this study.…”

Section: A Terrestrial Carbon Fluxes and Climate Variables Inmentioning

confidence: 99%

Seasonal Responses of Terrestrial Carbon Cycle to Climate Variations in CMIP5 Models: Evaluation and Projection

et al. 2017

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Seventeen Earth system models (ESMs) from phase 5 of the Coupled Model Intercomparison Project (CMIP5) were evaluated, focusing on the seasonal sensitivities of net biome production (NBP), net primary production (NPP), and heterotrophic respiration (Rh) to interannual variations in temperature and precipitation during 1982-2005 and their changes over the twenty-first century. Temperature sensitivity of NPP in ESMs was generally consistent across northern high-latitude biomes but significantly more negative for tropical and subtropical biomes relative to satellite-derived estimates. The temperature sensitivity of NBP in both inversion-based and ESM estimates was generally consistent in March-May (MAM) and SeptemberNovember (SON) for tropical forests, semiarid ecosystems, and boreal forests. By contrast, for inversion-based NBP estimates, temperature sensitivity of NBP was nonsignificant for June-August (JJA) for all biomes except boreal forest; whereas, for ESM NBP estimates, the temperature sensitivity for JJA was significantly negative for all biomes except shrublands and subarctic ecosystems. Both satellite-derived NPP and inversion-based NBP are often decoupled from precipitation, whereas ESM NPP and NBP estimates are generally positively correlated with precipitation, suggesting that ESMs are oversensitive to precipitation. Over the twenty-first century, changes in temperature sensitivities of NPP, Rh, and NBP are consistent across all RCPs but stronger under more intensive scenarios. The temperature sensitivity of NBP was found to decrease in tropics and subtropics and increase in northern high latitudes in MAM due to an increased temperature sensitivity of NPP. Across all biomes, projected temperature sensitivity of NPP decreased in JJA and SON. Projected precipitation sensitivity of NBP did not change across biomes, except over grasslands in MAM.

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Section: A Terrestrial Carbon Fluxes and Climate Variables Inmentioning

confidence: 99%

Seasonal Responses of Terrestrial Carbon Cycle to Climate Variations in CMIP5 Models: Evaluation and Projection

et al. 2017

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“…Concerning the data management, MyOcean relies on OPeNDAP/THREDDS for tasks like map subsetting and FTP for direct download. In addition, a valid solution is represented by the Earth System Grid Federation (ESGF) (Cinquini et al, 2014;ESGF, 2017), a federated system used as metadata service with advanced features, that will be described later. EMODNET MEDSEA Checkpoint (EMODNET, 2017;Moussat et al, 2016) is another solution supporting data collection and data search and discovery: it exploits a checkpoint browser and a checkpoint dashboard, which presents indicators automatically produced from information database.…”

Section: Related Workmentioning

confidence: 99%

A multi-service data management platform for scientific oceanographic products

D'Anca

Conte

Nassisi

et al. 2017

Nat. Hazards Earth Syst. Sci.

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Abstract. An efficient, secure and interoperable data platform solution has been developed in the TESSA project to provide fast navigation and access to the data stored in the data archive, as well as a standard-based metadata management support. The platform mainly targets scientific users and the situational sea awareness high-level services such as the decision support systems (DSS). These datasets are accessible through the following three main components: the Data Access Service (DAS), the Metadata Service and the Complex Data Analysis Module (CDAM). The DAS allows access to data stored in the archive by providing interfaces for different protocols and services for downloading, variables selection, data subsetting or map generation. Metadata Service is the heart of the information system of the TESSA products and completes the overall infrastructure for data and metadata management. This component enables data search and discovery and addresses interoperability by exploiting widely adopted standards for geospatial data. Finally, the CDAM represents the back-end of the TESSA DSS by performing on-demand complex data analysis tasks.

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“…One advantage is that they allow working with unstructured data, and array databases (Baumann and Holsten, 2012) designed for scientific applications where multi-dimensional structures are common. Specific solutions for Big Data analytics have been developed, based on mobile code such as in the European Grid Infrastructure (EGI 17 ), the Earth System Grid Federation (ESGF 18 ) infrastructure (Cinquini et al, 2014) and middleware (including FI-WARE GEs) through optimized SQL extensions such as in the FP7 EarthServer 19 raster query language (Baumann et al, 2015) or through PaaS cloud solutions specifically tailored to Earth Science, such as Google Earth Engine. 20 Nevertheless, compared to dedicated GIS-enabled relational databases, geospatial processing capabilities of current Big Data solutions, such as NoSQL databases, are still extremely limited (Yang et al, 2011(Yang et al, , 2013.…”

Section: Big Datamentioning

confidence: 99%

Future Internet technologies for environmental applications

Granell

Havlik

Schade

et al. 2016

Environmental Modelling & Software

102

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This paper investigates the usability of Future Internet technologies (aka “Generic Enablers of the Future Internet”) in the context of environmental applications. The paper incorporates the best aspects of the state-of-the-art in environmental informatics with geospatial solutions and scalable processing capabilities of Internet-based tools. It specifically targets the promotion of the “Environmental Observation Web” as an observation-centric paradigm for building the next generation of environmental applications. In the Environmental Observation Web, the great majority of data are considered as observations. These can be generated from sensors (hardware), numerical simulations (models), as well as by humans (human sensors). Independently from the observation provenance and application scope, data can be represented and processed in a standardised way in order to understand environmental processes and their interdependencies. The development of cross-domain applications is then leveraged by technologies such as Cloud Computing, Internet of Things, Big Data Processing and Analytics. For example, “the cloud” can satisfy the peak-performance needs of applications which may occasionally use large amounts of processing power at a fraction of the price of a dedicated server farm. The paper also addresses the need for Specific Enablers that connect mainstream Future Internet capabilities with sensor and geospatial technologies. Main categories of such Specific Enablers are described with an overall architectural approach for developing environmental applications and exemplar use cases

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The Earth System Grid Federation: An open infrastructure for access to distributed geospatial data

Cited by 192 publications

References 10 publications

Seasonal Responses of Terrestrial Carbon Cycle to Climate Variations in CMIP5 Models: Evaluation and Projection

Seasonal Responses of Terrestrial Carbon Cycle to Climate Variations in CMIP5 Models: Evaluation and Projection

A multi-service data management platform for scientific oceanographic products

Future Internet technologies for environmental applications

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