Characteristics of the Reanalysis and Satellite-Based Surface Net Radiation Data in the Arctic SCIE SCOPUS

DC Field Value Language
dc.contributor.author Seo, Minji -
dc.contributor.author Kim, Hyun-Cheol -
dc.contributor.author Lee, Kyeong-Sang -
dc.contributor.author Seong, Noh-Hun -
dc.contributor.author Lee, Eunkyung -
dc.contributor.author Kim, Jinsoo -
dc.contributor.author Han, Kyung-Soo -
dc.date.accessioned 2020-12-10T07:46:04Z -
dc.date.available 2020-12-10T07:46:04Z -
dc.date.created 2020-10-19 -
dc.date.issued 2020-09-17 -
dc.identifier.issn 1687-725X -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/38576 -
dc.description.abstract In this study, we compared four net radiation products: the fifth generation of European Centre for Medium-Range Weather Forecasts atmospheric reanalysis of the global climate (ERA5), National Centers for Environmental Prediction (NCEP), Clouds and the Earth's Radiant Energy System Energy Balanced and Filled (EBAF), and Global Energy and Water Exchanges (GEWEX), based on ground observation data and intercomparison data. ERA5 showed the highest accuracy, followed by EBAF, GEWEX, and NCEP. When analyzing the validation grid, ERA5 showed the most similar data distribution to ground observation data. Different characteristics were observed between the reanalysis data and satellite data. In the case of satellite-based data, the net radiation value tended to increase at high latitudes. Compared with the reanalysis data, Greenland and the central Arctic appeared to be overestimated. All data were highly correlated, with a difference of 6-21 W/m(2)among the products examined in this study. Error was attributed mainly to difficulties in predicting long-term climate change and having to combine net radiation data from several sources. This study highlights criteria that may be helpful in selecting data for future climate research models of this region. -
dc.description.uri 1 -
dc.language English -
dc.publisher HINDAWI LTD -
dc.subject ENERGY SYSTEM CERES -
dc.subject LONGWAVE FLUX -
dc.subject CLOUD -
dc.subject VALIDATION -
dc.subject PRODUCTS -
dc.subject CLIMATE -
dc.subject PARAMETERIZATION -
dc.subject IRRADIANCE -
dc.subject ATMOSPHERE -
dc.subject EDITION -
dc.title Characteristics of the Reanalysis and Satellite-Based Surface Net Radiation Data in the Arctic -
dc.type Article -
dc.citation.title JOURNAL OF SENSORS -
dc.citation.volume 2020 -
dc.contributor.alternativeName 이은경 -
dc.identifier.bibliographicCitation JOURNAL OF SENSORS, v.2020 -
dc.identifier.doi 10.1155/2020/8825870 -
dc.identifier.scopusid 2-s2.0-85092131885 -
dc.identifier.wosid 000576138100001 -
dc.type.docType Article -
dc.description.journalClass 1 -
dc.subject.keywordPlus ENERGY SYSTEM CERES -
dc.subject.keywordPlus LONGWAVE FLUX -
dc.subject.keywordPlus CLOUD -
dc.subject.keywordPlus VALIDATION -
dc.subject.keywordPlus PRODUCTS -
dc.subject.keywordPlus CLIMATE -
dc.subject.keywordPlus PARAMETERIZATION -
dc.subject.keywordPlus IRRADIANCE -
dc.subject.keywordPlus ATMOSPHERE -
dc.subject.keywordPlus EDITION -
dc.relation.journalWebOfScienceCategory Engineering, Electrical & Electronic -
dc.relation.journalWebOfScienceCategory Instruments & Instrumentation -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Engineering -
dc.relation.journalResearchArea Instruments & Instrumentation -
Appears in Collections:
Ocean Research, Operations & Support Department > Korea Ocean Satellite Center > 1. Journal Articles
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