Please use this identifier to cite or link to this item:
https://doi.org/10.1016/j.solener.2020.02.061
DC Field | Value | |
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dc.title | irradpy: Python package for MERRA-2 download, extraction and usage for clear-sky irradiance modelling | |
dc.contributor.author | JAMES MATTHEW BRIGHT | |
dc.contributor.author | Xinyu Bai | |
dc.contributor.author | Yue Zhang | |
dc.contributor.author | Xixi Sun | |
dc.contributor.author | Brendan Acord | |
dc.contributor.author | Peng Wang | |
dc.date.accessioned | 2020-05-29T07:17:14Z | |
dc.date.available | 2020-05-29T07:17:14Z | |
dc.date.issued | 2020-02-17 | |
dc.identifier.citation | JAMES 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.issn | 0038092X | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/168682 | |
dc.description.abstract | Clear-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.iso | en | |
dc.publisher | Elsevier | |
dc.rights | Attribution-NonCommercial-ShareAlike 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
dc.subject | MERRA-2, Reanalysis, Clear-sky irradiance, Data article, Python, REST2 | |
dc.type | Article | |
dc.contributor.department | SOLAR ENERGY RESEARCH INST OF S'PORE | |
dc.description.doi | 10.1016/j.solener.2020.02.061 | |
dc.description.sourcetitle | Solar Energy | |
dc.description.volume | 199 | |
dc.description.page | 685-693 | |
dc.published.state | Published | |
dc.grant.id | NRF2017EWT-EP002-004 | |
dc.grant.fundingagency | Energy Market Authority | |
dc.description.redeposit | completed | |
Appears in Collections: | Elements Staff Publications |
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File | Description | Size | Format | Access Settings | Version | |
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pre-print.pdf | Preprint | 336.49 kB | Adobe PDF | OPEN | Pre-print | View/Download |
2020 Solar Engery_Bright_irradpy_Python package.pdf | Accepted version | 343.39 kB | Adobe PDF | OPEN | Pre-print | View/Download |
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