The Environmental Scenario Generator (ESG): a distributed environmental data archive analysis tool
The Environmental Scenario Generator (ESG) is a network distributed software system designed to allow a user to interact with archives of environmental data for the purpose of scenario extraction, data analysis and integration with existing models that require environmental input. The ESG uses fuzzy...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2006-01-01
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| Series: | Data Science Journal |
| Subjects: | |
| Online Access: | http://datascience.codata.org/articles/272 |
| _version_ | 1819082271968198656 |
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| author | E A Kihn M Zhizhin R Siquig R Redmon |
| author_facet | E A Kihn M Zhizhin R Siquig R Redmon |
| author_sort | E A Kihn |
| collection | DOAJ |
| description | The Environmental Scenario Generator (ESG) is a network distributed software system designed to allow a user to interact with archives of environmental data for the purpose of scenario extraction, data analysis and integration with existing models that require environmental input. The ESG uses fuzzy-logic based search tools to allow a user to look for specific environmental scenarios in vast archives by specifying the search in human linguistic terms. For example, the user can specify a scenario such as a "cloud free week" or "high winds and low pressure" and then search relevant archives available across the network to get a list of matching events. The ESG hooks to existing archives of data by providing a simple communication framework and an efficient data model for exchanging data. Once data has been delivered by the distributed archives in the ESG data model, it can easily be accessed by the visualization, integration and analysis components to meet specific user requests. The ESG implementation provides a framework which can be taken as a pattern applicable to other distributed archive systems. |
| first_indexed | 2024-12-21T20:14:02Z |
| format | Article |
| id | doaj.art-06592b1e7f9547ada0508556b6b6209a |
| institution | Directory Open Access Journal |
| issn | 1683-1470 |
| language | English |
| last_indexed | 2024-12-21T20:14:02Z |
| publishDate | 2006-01-01 |
| publisher | Ubiquity Press |
| record_format | Article |
| series | Data Science Journal |
| spelling | doaj.art-06592b1e7f9547ada0508556b6b6209a2022-12-21T18:51:40ZengUbiquity PressData Science Journal1683-14702006-01-013102810.2481/dsj.3.10273The Environmental Scenario Generator (ESG): a distributed environmental data archive analysis toolE A Kihn0M Zhizhin1R Siquig2R Redmon3NOAA/NGDC 325 Broadway E/GC2 Boulder, CO 80305, USARAS/CGDS 3 Molodezhnaya Str, Moscow, 117964, RussiaNaval Research Laboratory, 7 Grace Hopper Ave, Monterey, CA 93943, USANOAA/CIRES 216 UCB Boulder, CO 80309, USAThe Environmental Scenario Generator (ESG) is a network distributed software system designed to allow a user to interact with archives of environmental data for the purpose of scenario extraction, data analysis and integration with existing models that require environmental input. The ESG uses fuzzy-logic based search tools to allow a user to look for specific environmental scenarios in vast archives by specifying the search in human linguistic terms. For example, the user can specify a scenario such as a "cloud free week" or "high winds and low pressure" and then search relevant archives available across the network to get a list of matching events. The ESG hooks to existing archives of data by providing a simple communication framework and an efficient data model for exchanging data. Once data has been delivered by the distributed archives in the ESG data model, it can easily be accessed by the visualization, integration and analysis components to meet specific user requests. The ESG implementation provides a framework which can be taken as a pattern applicable to other distributed archive systems.http://datascience.codata.org/articles/272Fuzzy LogicData ArchivesData WarehousingData MiningSystems ArchitectureEnvironmental InformaticsDistributed Parallel ComputingWeb Services |
| spellingShingle | E A Kihn M Zhizhin R Siquig R Redmon The Environmental Scenario Generator (ESG): a distributed environmental data archive analysis tool Data Science Journal Fuzzy Logic Data Archives Data Warehousing Data Mining Systems Architecture Environmental Informatics Distributed Parallel Computing Web Services |
| title | The Environmental Scenario Generator (ESG): a distributed environmental data archive analysis tool |
| title_full | The Environmental Scenario Generator (ESG): a distributed environmental data archive analysis tool |
| title_fullStr | The Environmental Scenario Generator (ESG): a distributed environmental data archive analysis tool |
| title_full_unstemmed | The Environmental Scenario Generator (ESG): a distributed environmental data archive analysis tool |
| title_short | The Environmental Scenario Generator (ESG): a distributed environmental data archive analysis tool |
| title_sort | environmental scenario generator esg a distributed environmental data archive analysis tool |
| topic | Fuzzy Logic Data Archives Data Warehousing Data Mining Systems Architecture Environmental Informatics Distributed Parallel Computing Web Services |
| url | http://datascience.codata.org/articles/272 |
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