{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T00:59:50Z","timestamp":1772499590820,"version":"3.50.1"},"reference-count":55,"publisher":"Wiley","license":[{"start":{"date-parts":[[2020,9,17]],"date-time":"2020-09-17T00:00:00Z","timestamp":1600300800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004230","name":"Korea Polar Research Institute","doi-asserted-by":"publisher","award":["PE20080"],"award-info":[{"award-number":["PE20080"]}],"id":[{"id":"10.13039\/501100004230","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Sensors"],"published-print":{"date-parts":[[2020,9,17]]},"abstract":"<jats:p>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\u2019s 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\u201321\u2009W\/m<jats:sup>2<\/jats:sup> 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.<\/jats:p>","DOI":"10.1155\/2020\/8825870","type":"journal-article","created":{"date-parts":[[2020,9,17]],"date-time":"2020-09-17T23:32:02Z","timestamp":1600385522000},"page":"1-13","source":"Crossref","is-referenced-by-count":16,"title":["Characteristics of the Reanalysis and Satellite-Based Surface Net Radiation Data in the Arctic"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8413-6930","authenticated-orcid":true,"given":"Minji","family":"Seo","sequence":"first","affiliation":[{"name":"Division of Earth Environmental System Science (Major of Spatial Information Engineering), Pukyong National University, Busan 48513, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6831-9291","authenticated-orcid":true,"given":"Hyun-Cheol","family":"Kim","sequence":"additional","affiliation":[{"name":"Unit of Arctic Sea-Ice 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