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http://hdl.handle.net/10773/26279
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Costa, Marco | pt_PT |
dc.contributor.author | Monteiro, Magda | pt_PT |
dc.date.accessioned | 2019-07-05T09:27:37Z | - |
dc.date.available | 2019-07-05T09:27:37Z | - |
dc.date.issued | 2019-08 | - |
dc.identifier.issn | 1099-095X | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10773/26279 | - |
dc.description.abstract | In recent decades, the world has been confronted with the consequences of global warming; however, this phenomenon is not reflected equally in every part of the globe. Thus, the warming phenomenon must be monitored in a more regional or local scale. This paper analyzes monthly long-term time series of air temperatures in three Portuguese cities: Lisbon, Oporto and Coimbra. We propose a periodic state space framework, associated with a suitable version of the Kalman filter; which allows for the estimation of monthly warming rates taking into account the seasonal behavior and serial correlation. Results about the monthly mean of the daily mid-range temperature time series show that there are different monthly warming rates. The greatest annual mean rise was found in Oporto with 2.17◦C whereas, in Lisbon and Coimbra, it was respectively, 0.62ºC and 0.55ºC, per century. | pt_PT |
dc.language.iso | eng | pt_PT |
dc.publisher | Wiley | pt_PT |
dc.relation | UID/MAT/04106/2019 | pt_PT |
dc.rights | openAccess | pt_PT |
dc.subject | Air temperature | pt_PT |
dc.subject | Climate change | pt_PT |
dc.subject | Kalman filter | pt_PT |
dc.subject | Portuguese cities | pt_PT |
dc.subject | Seasonality | pt_PT |
dc.subject | Time series analysis | pt_PT |
dc.title | A periodic mixed linear state-space model to monthly long-term temperature data | pt_PT |
dc.type | article | pt_PT |
dc.description.version | published | pt_PT |
dc.peerreviewed | yes | pt_PT |
degois.publication.firstPage | 1 | pt_PT |
degois.publication.issue | 5 | pt_PT |
degois.publication.lastPage | 15 | pt_PT |
degois.publication.title | Environmetrics | pt_PT |
degois.publication.volume | 30 | pt_PT |
dc.identifier.doi | https://doi.org/10.1002/env.2550 | pt_PT |
Appears in Collections: | CIDMA - Artigos ESTGA - Artigos PSG - Artigos |
Files in This Item:
File | Description | Size | Format | |
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CostaMonteiroEnv2019.pdf | 1.86 MB | Adobe PDF | View/Open |
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