Digitizing Mt. Washington INPs Time Series Data
| dc.contributor.author | Stretesky, Denver | |
| dc.contributor.department | Chalmers tekniska högskola / Institutionen för rymd-, geo- och miljövetenskap | sv |
| dc.contributor.department | Chalmers University of Technology / Department of Space, Earth and Environment | en |
| dc.contributor.examiner | Ickes , Luisa | |
| dc.contributor.supervisor | Ickes, Luisa | |
| dc.date.accessioned | 2025-02-13T08:29:02Z | |
| dc.date.available | 2025-02-13T08:29:02Z | |
| dc.date.issued | 2024 | |
| dc.date.submitted | ||
| dc.description.abstract | As technology in computing has advanced, it has opened many new tools to aid researchers. Among these tools is neural networks. These will be utilized to digitize an old handwritten dataset taken from Mt. Washington Observatory. This dataset spans over 20 years and has the potential to aid our understanding of ice nucleating particles and their effects. Three overarching steps were identified when digitizing handwritten data: pre-processing, classification, and post-processing. The first two will be focused on here as they are the most important to the digitization process. It was also discovered how the errors in the pre-processing and classification affect the final model accuracy. | |
| dc.identifier.coursecode | seex30 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12380/309124 | |
| dc.language.iso | eng | |
| dc.setspec.uppsok | LifeEarthScience | |
| dc.subject | Digitizing Mt. Washington INPs Time Series Data | |
| dc.title | Digitizing Mt. Washington INPs Time Series Data | |
| dc.type.degree | Examensarbete för masterexamen | sv |
| dc.type.degree | Master's Thesis | en |
| dc.type.uppsok | H | |
| local.programme | Övrigt, MSc |