West African Monsoon, a computational model

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dc.contributor.authorRichers, Merrick
dc.date.accessioned2023-09-20T18:04:24Z
dc.date.available2023-09-20T18:04:24Z
dc.date.copyright2023en_US
dc.date.issued2023-09-20
dc.description.abstractThe West African summer Monsoon (WAM) is a weather phenomenon that is both unpredictable, and paramount to local water resources; with current climate models providing conflicting information pertaining to rainfall. The research conducted investigates the modification of a preexisting computational model of the Indian Monsoon for use in the WAM. This process required an understanding of the model’s C++ source code, code compilation, and command line Linux for HPC cluster usage; as well as learning the terminology of climate science, the basics of fluid mechanics, and the partial differential equations that govern the monsoon model. The main modifications that were done to the code were to change the latent and sensible heat forcing to that of the WAM using real world data. This required the writing of a netCDF data extractor, a csv file reader, a linear interpolator, and a way to alter the domain of the simulation. The resulting data has been plotted, and it has been concluded that the model requires some fine tuning to produce more accurate results, but is otherwise functional. The resulting code and data has been documented and shared with the research group, with plans to expand upon this project at a later date.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelUndergraduateen_US
dc.description.sponsorshipValerie Kuehne Undergraduate Research Awards (VKURA)en_US
dc.identifier.urihttp://hdl.handle.net/1828/15425
dc.language.isoenen_US
dc.subjectClimate modelen_US
dc.subjectmonsoonen_US
dc.subjectcomputer scienceen_US
dc.subjectclimateen_US
dc.subjectatmosphereen_US
dc.subjectWest African Monsoonen_US
dc.titleWest African Monsoon, a computational modelen_US
dc.typePosteren_US

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