SEVIRI PrePro: A novel software tool for the pre-processing of SEVIRI geostationary orbit EO data products.
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| Title: | SEVIRI PrePro: A novel software tool for the pre-processing of SEVIRI geostationary orbit EO data products. |
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| Authors: | Petropoulos, George P.1 george.petropoulos@aber.ac.uk, Anagnostopoulos, Vasileios2,3 |
| Source: | Environmental Modelling & Software. Aug2016, Vol. 82, p321-329. 9p. |
| Subjects: | Environmental monitoring software, Computer simulation of weather forecasting, Evapotranspiration measurement |
| Abstract: | The Spinning Enhanced Visible and Infrared Imager (SEVIRI) is a geostationary orbit multispectral sensor on-board the Meteosat second Generation (MSG) platform, acquiring Earth Observation (EO) data over Earth's land surface from the optical to infrared parts of electromagnetic spectrum every 15 min. From the sensor a series of operational products are also provided to the user's community at no cost via EUMETSAT or LSA SAF portals. Herein, an open access stand-alone software product developed in Java programming language is presented for automating key pre-processing steps to all the SEVIRI operationally distributed products. The software tool, named Seviri PrePro, makes use of present day multi-core processors and is able to process very large datasets in a short time period, making it appropriate as well for use in a High Performance Computing (HPC) environment. The practical usefulness of the toolkit is also demonstrated herein using as a case study the SEVIRI evapotranspiration (ET) product. The development of SEVIRI PrePro is of significant importance to the SEVIRI users' community and is also very timely given that, to our knowledge, no similar software tool is freely distributed at present. Its use is anticipated to make a significant contribution to a large number of practical applications requiring use of SEVIRI data, including but not limited, weather forecasting and global climate monitoring at a range of geographical scales. [ABSTRACT FROM AUTHOR] |
| Copyright of Environmental Modelling & Software is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 115978957 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: SEVIRI PrePro: A novel software tool for the pre-processing of SEVIRI geostationary orbit EO data products. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Petropoulos%2C+George+P%2E%22">Petropoulos, George P.</searchLink><relatesTo>1</relatesTo><i> george.petropoulos@aber.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Anagnostopoulos%2C+Vasileios%22">Anagnostopoulos, Vasileios</searchLink><relatesTo>2,3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environmental+Modelling+%26+Software%22">Environmental Modelling & Software</searchLink>. Aug2016, Vol. 82, p321-329. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Environmental+monitoring+software%22">Environmental monitoring software</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation+of+weather+forecasting%22">Computer simulation of weather forecasting</searchLink><br /><searchLink fieldCode="DE" term="%22Evapotranspiration+measurement%22">Evapotranspiration measurement</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The Spinning Enhanced Visible and Infrared Imager (SEVIRI) is a geostationary orbit multispectral sensor on-board the Meteosat second Generation (MSG) platform, acquiring Earth Observation (EO) data over Earth's land surface from the optical to infrared parts of electromagnetic spectrum every 15 min. From the sensor a series of operational products are also provided to the user's community at no cost via EUMETSAT or LSA SAF portals. Herein, an open access stand-alone software product developed in Java programming language is presented for automating key pre-processing steps to all the SEVIRI operationally distributed products. The software tool, named Seviri PrePro, makes use of present day multi-core processors and is able to process very large datasets in a short time period, making it appropriate as well for use in a High Performance Computing (HPC) environment. The practical usefulness of the toolkit is also demonstrated herein using as a case study the SEVIRI evapotranspiration (ET) product. The development of SEVIRI PrePro is of significant importance to the SEVIRI users' community and is also very timely given that, to our knowledge, no similar software tool is freely distributed at present. Its use is anticipated to make a significant contribution to a large number of practical applications requiring use of SEVIRI data, including but not limited, weather forecasting and global climate monitoring at a range of geographical scales. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Environmental Modelling & Software is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.envsoft.2016.03.015 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 321 Subjects: – SubjectFull: Environmental monitoring software Type: general – SubjectFull: Computer simulation of weather forecasting Type: general – SubjectFull: Evapotranspiration measurement Type: general Titles: – TitleFull: SEVIRI PrePro: A novel software tool for the pre-processing of SEVIRI geostationary orbit EO data products. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Petropoulos, George P. – PersonEntity: Name: NameFull: Anagnostopoulos, Vasileios IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 13648152 Numbering: – Type: volume Value: 82 Titles: – TitleFull: Environmental Modelling & Software Type: main |
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