Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.solener.2020.02.061
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dc.titleirradpy: Python package for MERRA-2 download, extraction and usage for clear-sky irradiance modelling
dc.contributor.authorJAMES MATTHEW BRIGHT
dc.contributor.authorXinyu Bai
dc.contributor.authorYue Zhang
dc.contributor.authorXixi Sun
dc.contributor.authorBrendan Acord
dc.contributor.authorPeng Wang
dc.date.accessioned2020-05-29T07:17:14Z
dc.date.available2020-05-29T07:17:14Z
dc.date.issued2020-02-17
dc.identifier.citationJAMES MATTHEW BRIGHT, Xinyu Bai, Yue Zhang, Xixi Sun, Brendan Acord, Peng Wang (2020-02-17). irradpy: Python package for MERRA-2 download, extraction and usage for clear-sky irradiance modelling. Solar Energy 199 : 685-693. ScholarBank@NUS Repository. https://doi.org/10.1016/j.solener.2020.02.061
dc.identifier.issn0038092X
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/168682
dc.description.abstractClear-sky irradiance modelling requires many input variables to access the best available methodologies in literature. It is the authors’ experience that there are unnecessary computational barriers to obtaining and using the data needed for worldwide clear-sky modelling. For this reason, we present a data article introducing a new Python package called irradpy that, in this first release, (i) downloads the specific variables required for worldwide clear-sky irradiance modelling from the MERRA-2 reanalysis database and reorganises them for optimised usage, (ii) provides two functions for the world leading global horizontal irradiance clear-sky models (MAC2 and REST2v5) to make use of the downloaded MERRA-2 reanalysis database, (iii) provides an example script showing how it works and can be used. The package is available through the Python Package Index (PyPi) and can also be found in the GitHub repository at https://github.com/BXYMartin/Python-irradpy.
dc.language.isoen
dc.publisherElsevier
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectMERRA-2, Reanalysis, Clear-sky irradiance, Data article, Python, REST2
dc.typeArticle
dc.contributor.departmentSOLAR ENERGY RESEARCH INST OF S'PORE
dc.description.doi10.1016/j.solener.2020.02.061
dc.description.sourcetitleSolar Energy
dc.description.volume199
dc.description.page685-693
dc.published.statePublished
dc.grant.idNRF2017EWT-EP002-004
dc.grant.fundingagencyEnergy Market Authority
dc.description.redepositcompleted
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