Global Mean Sea Level. Time Trends and Persistence with Long Range Dependent Data
Global mean sea level data are examined in this work by looking at the presence of time trends in the context of long memory or long range dependent processes. By looking at both seasonal signals retained and seasonal signals removed data from 1992 to 2020, the results show that the two series displ...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-12-01
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| Series: | Frontiers in Physics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2021.797402/full |
| _version_ | 1818426441029648384 |
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| author | Luis Alberiko Gil-Alana Luis Alberiko Gil-Alana |
| author_facet | Luis Alberiko Gil-Alana Luis Alberiko Gil-Alana |
| author_sort | Luis Alberiko Gil-Alana |
| collection | DOAJ |
| description | Global mean sea level data are examined in this work by looking at the presence of time trends in the context of long memory or long range dependent processes. By looking at both seasonal signals retained and seasonal signals removed data from 1992 to 2020, the results show that the two series display significant time trend coefficients and high levels of persistence. |
| first_indexed | 2024-12-14T14:29:53Z |
| format | Article |
| id | doaj.art-96a9083bbfe64fef9af71fd8b89ab3a8 |
| institution | Directory Open Access Journal |
| issn | 2296-424X |
| language | English |
| last_indexed | 2024-12-14T14:29:53Z |
| publishDate | 2021-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physics |
| spelling | doaj.art-96a9083bbfe64fef9af71fd8b89ab3a82022-12-21T22:57:50ZengFrontiers Media S.A.Frontiers in Physics2296-424X2021-12-01910.3389/fphy.2021.797402797402Global Mean Sea Level. Time Trends and Persistence with Long Range Dependent DataLuis Alberiko Gil-Alana0Luis Alberiko Gil-Alana1Faculty of Economics and NCID-ICS, University of Navarra, Pamplona, SpainFacultad de Ciencias Juridicas y Empresariales, Universidad Francisco de Vitoria, Madrid, SpainGlobal mean sea level data are examined in this work by looking at the presence of time trends in the context of long memory or long range dependent processes. By looking at both seasonal signals retained and seasonal signals removed data from 1992 to 2020, the results show that the two series display significant time trend coefficients and high levels of persistence.https://www.frontiersin.org/articles/10.3389/fphy.2021.797402/fullsea leveltime trendfractional integrationlong memory JEL classification: C12K32Q54 |
| spellingShingle | Luis Alberiko Gil-Alana Luis Alberiko Gil-Alana Global Mean Sea Level. Time Trends and Persistence with Long Range Dependent Data Frontiers in Physics sea level time trend fractional integration long memory JEL classification: C12 K32 Q54 |
| title | Global Mean Sea Level. Time Trends and Persistence with Long Range Dependent Data |
| title_full | Global Mean Sea Level. Time Trends and Persistence with Long Range Dependent Data |
| title_fullStr | Global Mean Sea Level. Time Trends and Persistence with Long Range Dependent Data |
| title_full_unstemmed | Global Mean Sea Level. Time Trends and Persistence with Long Range Dependent Data |
| title_short | Global Mean Sea Level. Time Trends and Persistence with Long Range Dependent Data |
| title_sort | global mean sea level time trends and persistence with long range dependent data |
| topic | sea level time trend fractional integration long memory JEL classification: C12 K32 Q54 |
| url | https://www.frontiersin.org/articles/10.3389/fphy.2021.797402/full |
| work_keys_str_mv | AT luisalberikogilalana globalmeansealeveltimetrendsandpersistencewithlongrangedependentdata AT luisalberikogilalana globalmeansealeveltimetrendsandpersistencewithlongrangedependentdata |