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. 2021 Mar 3;11:5031. doi: 10.1038/s41598-021-84396-2

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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SurfUVNet’s forecast error weakly correlates with cloud coverage. Violin plots showing the distribution of SurfUVNet’s forecast error in 1-h interval with various cloud coverage. Errors on the test sets (UV data from year 2019) are shown. (a) Nakhon Pathom dataset. (b) Tokyo dataset. (c) London dataset. (d) Heliotherapy sunbathing sessions planned by photodermatologist at King Chulalongkorn Memorial Hospital. Each data point that constitutes the violin plots correspond to the error between predicted and actual antipsoriatic irradiances that a patient would be exposed to if he or she were to sunbath according to dermatologist’s planning.