Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/163305
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dc.contributor.authorMcNicholl, Barryen_US
dc.contributor.authorLee, Yee Huien_US
dc.contributor.authorCampbell, Abraham G.en_US
dc.contributor.authorDev, Soumyabrataen_US
dc.date.accessioned2022-11-30T08:26:20Z-
dc.date.available2022-11-30T08:26:20Z-
dc.date.issued2021-
dc.identifier.citationMcNicholl, B., Lee, Y. H., Campbell, A. G. & Dev, S. (2021). Evaluating the reliability of air temperature from ERA5 reanalysis data. IEEE Geoscience and Remote Sensing Letters, 19, 1004505-. https://dx.doi.org/10.1109/LGRS.2021.3137643en_US
dc.identifier.issn1545-598Xen_US
dc.identifier.urihttps://hdl.handle.net/10356/163305-
dc.description.abstractThe reliability of European Remote Sensing 5 (ERA5) satellite-based air temperature data is under investigation in this letter. To evaluate this, the ERA5 data will be compared with land-based data obtained from weather stations on the global historical climatology network (GHCN). Two climate regions are taken into consideration, temperate and tropical. Five years worth of data is collected and compared through box plots, regression models, and statistical metrics. The results show that the satellite temperature performs better in the temperate region than the tropical region. This suggests that the time of year and climate region have an impact on the accuracy of the satellite data as milder temperatures produce better approximations.en_US
dc.language.isoenen_US
dc.relation.ispartofIEEE Geoscience and Remote Sensing Lettersen_US
dc.rights© 2021 IEEE. All rights reserved.en_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleEvaluating the reliability of air temperature from ERA5 reanalysis dataen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doi10.1109/LGRS.2021.3137643-
dc.identifier.scopus2-s2.0-85122101073-
dc.identifier.volume19en_US
dc.identifier.spage1004505en_US
dc.subject.keywordsTemperature Measurementen_US
dc.subject.keywordsLand Surface Temperatureen_US
dc.description.acknowledgementThis work was supported by the ADAPT Centre for Digital Content Technology funded by the Science Foundation Ireland (SFI) Research Centres Program under Grant 13/RC/2106_P2 and co-funded by the European Regional Development Fund.en_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
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