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https://hdl.handle.net/2445/201790Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Volpi, Danila | - |
| dc.contributor.advisor | Ortega, Pablo | - |
| dc.contributor.author | Sorribes Portella, Elisabet | - |
| dc.date.accessioned | 2023-09-08T14:41:01Z | - |
| dc.date.available | 2023-09-08T14:41:01Z | - |
| dc.date.issued | 2023-06 | - |
| dc.identifier.uri | https://hdl.handle.net/2445/201790 | - |
| dc.description | Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2023, Tutors: Danila Volpi, Pablo Ortega | ca |
| dc.description.abstract | Three sets of seasonal predictions that differ in the implementations of the forcing due to biomass burning emissions have been analysed doing a retrospective study of the wildfires that occurred in Indonesia (2015), Australia (2019-2020) and California (2020). The impact of including observed and climatological biomass burning emissions in the seasonal forecasts is evaluated by characterizing the climate anomalies | ca |
| dc.format.extent | 5 p. | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | eng | ca |
| dc.rights | cc-by-nc-nd (c) Sorribes, 2023 | - |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
| dc.source | Treballs Finals de Grau (TFG) - Física | - |
| dc.subject.classification | Biomassa | cat |
| dc.subject.classification | Predicció estacional | cat |
| dc.subject.classification | Treballs de fi de grau | cat |
| dc.subject.other | Biomass | eng |
| dc.subject.other | Seasonal forecast | eng |
| dc.subject.other | Bachelor's theses | eng |
| dc.title | Impact of biomass burning emissions on seasonal forecasts | eng |
| dc.type | info:eu-repo/semantics/bachelorThesis | ca |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca |
| Appears in Collections: | Treballs Finals de Grau (TFG) - Física | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| SORRIBES PORTELLA ELISABET_7934162.pdf | 22.12 MB | Adobe PDF | View/Open |
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