ETHOS.TISED: A python package for temporal downscaling of solar irradiance
© 2026 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/ ).
| Autores: | , , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2026 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:dnet:idus________::3832f88a64569afca9b30877f128f8a7 |
| Acceso en línea: | https://hdl.handle.net/11441/186269 https://doi.org/10.1016/j.softx.2026.102688 |
| Access Level: | acceso abierto |
| Palabra clave: | Irradiance High-resolution Solar variability Python |
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ETHOS.TISED: A python package for temporal downscaling of solar irradianceOmoyele, OlalekanBelina, JulianHartono, Noor Titan PutriHoffmann, MaximilianWeinand, Jann MichaelLarrañeta, MiguelLinßen, JochenStolten, DetlefIrradianceHigh-resolutionSolar variabilityPython© 2026 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/ ).High temporal-resolution solar irradiance data are essential for a wide range of energy and climate applications. However, most climate models and reanalysis datasets are only available at hourly resolution. ETHOS.TISED is an open-source Python package which facilitates the temporal downscaling of global horizontal irradiance from hourly to minute-scale resolution, using daily variability indicators for all climates and locations. The synthetically generated minute-scale resolution data show close agreement with measured observations as demonstrated by the normalized root mean squared error and the Kolmogorov-Smirnov integral test, which quantify the point-to-point and distributional divergence between measured and synthesized time series, respectively. By enabling the reproducible generation of high-frequency irradiance time series, the software improves the robustness and reliability of research and applied studies in energy system modeling.ElsevierIngeniería EnergéticaAgencia Estatal de Investigación. EspañaMinisterio de Ciencia e Innovación (MICIN). España2026info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/186269https://doi.org/10.1016/j.softx.2026.102688reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésSoftwareX, 34, 102688. RYC2021-032300-Ihttps://www.sciencedirect.com/science/article/pii/S2352711026001809info:eu-repo/semantics/openAccessoai:dnet:idus________::3832f88a64569afca9b30877f128f8a72026-06-17T12:51:07Z |
| dc.title.none.fl_str_mv |
ETHOS.TISED: A python package for temporal downscaling of solar irradiance |
| title |
ETHOS.TISED: A python package for temporal downscaling of solar irradiance |
| spellingShingle |
ETHOS.TISED: A python package for temporal downscaling of solar irradiance Omoyele, Olalekan Irradiance High-resolution Solar variability Python |
| title_short |
ETHOS.TISED: A python package for temporal downscaling of solar irradiance |
| title_full |
ETHOS.TISED: A python package for temporal downscaling of solar irradiance |
| title_fullStr |
ETHOS.TISED: A python package for temporal downscaling of solar irradiance |
| title_full_unstemmed |
ETHOS.TISED: A python package for temporal downscaling of solar irradiance |
| title_sort |
ETHOS.TISED: A python package for temporal downscaling of solar irradiance |
| dc.creator.none.fl_str_mv |
Omoyele, Olalekan Belina, Julian Hartono, Noor Titan Putri Hoffmann, Maximilian Weinand, Jann Michael Larrañeta, Miguel Linßen, Jochen Stolten, Detlef |
| author |
Omoyele, Olalekan |
| author_facet |
Omoyele, Olalekan Belina, Julian Hartono, Noor Titan Putri Hoffmann, Maximilian Weinand, Jann Michael Larrañeta, Miguel Linßen, Jochen Stolten, Detlef |
| author_role |
author |
| author2 |
Belina, Julian Hartono, Noor Titan Putri Hoffmann, Maximilian Weinand, Jann Michael Larrañeta, Miguel Linßen, Jochen Stolten, Detlef |
| author2_role |
author author author author author author author |
| dc.contributor.none.fl_str_mv |
Ingeniería Energética Agencia Estatal de Investigación. España Ministerio de Ciencia e Innovación (MICIN). España |
| dc.subject.none.fl_str_mv |
Irradiance High-resolution Solar variability Python |
| topic |
Irradiance High-resolution Solar variability Python |
| description |
© 2026 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/ ). |
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2026 |
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2026 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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https://hdl.handle.net/11441/186269 https://doi.org/10.1016/j.softx.2026.102688 |
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https://hdl.handle.net/11441/186269 https://doi.org/10.1016/j.softx.2026.102688 |
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Inglés |
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Inglés |
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SoftwareX, 34, 102688. RYC2021-032300-I https://www.sciencedirect.com/science/article/pii/S2352711026001809 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Elsevier |
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Elsevier |
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