Year by year closure adjustment of global mean sea level budget, inclusive of lumped snow, water vapor, and permafrost mass components
Global mean sea level budget is rigorously adjusted during the period 2005–2015 with an emphasis on closing the budget on a year by year basis as opposed to using linear trends of global mean sea level components. The adjustment also accounts for the effect of snow, water vapor, and permafrost mass...
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Online Access: | https://doi.org/10.1515/jogs-2020-0109 https://doaj.org/article/e67ed4f9c0cc4810885962d5dc4c7f5c |
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ftdoajarticles:oai:doaj.org/article:e67ed4f9c0cc4810885962d5dc4c7f5c 2023-05-15T17:57:04+02:00 Year by year closure adjustment of global mean sea level budget, inclusive of lumped snow, water vapor, and permafrost mass components Iz H. Bâki Shum C. K. 2020-12-01T00:00:00Z https://doi.org/10.1515/jogs-2020-0109 https://doaj.org/article/e67ed4f9c0cc4810885962d5dc4c7f5c EN eng De Gruyter https://doi.org/10.1515/jogs-2020-0109 https://doaj.org/toc/2081-9943 2081-9943 doi:10.1515/jogs-2020-0109 https://doaj.org/article/e67ed4f9c0cc4810885962d5dc4c7f5c Journal of Geodetic Science, Vol 10, Iss 1, Pp 83-90 (2020) climate change global mean sea level budget condition adjustment with unknowns helmert’s adjustment method Geodesy QB275-343 article 2020 ftdoajarticles https://doi.org/10.1515/jogs-2020-0109 2022-12-30T20:26:25Z Global mean sea level budget is rigorously adjusted during the period 2005–2015 with an emphasis on closing the budget on a year by year basis as opposed to using linear trends of global mean sea level components. The adjustment also accounts for the effect of snow, water vapor, and permafrost mass components as a lump sum. The approach provides better resolution for evaluating individual contribution of each budget component year by year in tandem with the other components. Year by year budget misclosures and the confidence intervals of the year by year adjusted budget components are suggestive of an increasing non-linearity in satellite altimetry derived global mean sea level measurements starting in 2012, which are not present in the other components. The solution also generates time series iteratively for the lumped snow, water vapor, and permafrost mass components as well as an estimate for its linear trend, 0.06±0.59 mm/yr. Nonetheless, its standard error is markedly large because of the un-modeled variability in satellite altimetry observed yearly averaged global mean sea level anomalies. Article in Journal/Newspaper permafrost Directory of Open Access Journals: DOAJ Articles Journal of Geodetic Science 10 1 83 90 |
institution |
Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
climate change global mean sea level budget condition adjustment with unknowns helmert’s adjustment method Geodesy QB275-343 |
spellingShingle |
climate change global mean sea level budget condition adjustment with unknowns helmert’s adjustment method Geodesy QB275-343 Iz H. Bâki Shum C. K. Year by year closure adjustment of global mean sea level budget, inclusive of lumped snow, water vapor, and permafrost mass components |
topic_facet |
climate change global mean sea level budget condition adjustment with unknowns helmert’s adjustment method Geodesy QB275-343 |
description |
Global mean sea level budget is rigorously adjusted during the period 2005–2015 with an emphasis on closing the budget on a year by year basis as opposed to using linear trends of global mean sea level components. The adjustment also accounts for the effect of snow, water vapor, and permafrost mass components as a lump sum. The approach provides better resolution for evaluating individual contribution of each budget component year by year in tandem with the other components. Year by year budget misclosures and the confidence intervals of the year by year adjusted budget components are suggestive of an increasing non-linearity in satellite altimetry derived global mean sea level measurements starting in 2012, which are not present in the other components. The solution also generates time series iteratively for the lumped snow, water vapor, and permafrost mass components as well as an estimate for its linear trend, 0.06±0.59 mm/yr. Nonetheless, its standard error is markedly large because of the un-modeled variability in satellite altimetry observed yearly averaged global mean sea level anomalies. |
format |
Article in Journal/Newspaper |
author |
Iz H. Bâki Shum C. K. |
author_facet |
Iz H. Bâki Shum C. K. |
author_sort |
Iz H. Bâki |
title |
Year by year closure adjustment of global mean sea level budget, inclusive of lumped snow, water vapor, and permafrost mass components |
title_short |
Year by year closure adjustment of global mean sea level budget, inclusive of lumped snow, water vapor, and permafrost mass components |
title_full |
Year by year closure adjustment of global mean sea level budget, inclusive of lumped snow, water vapor, and permafrost mass components |
title_fullStr |
Year by year closure adjustment of global mean sea level budget, inclusive of lumped snow, water vapor, and permafrost mass components |
title_full_unstemmed |
Year by year closure adjustment of global mean sea level budget, inclusive of lumped snow, water vapor, and permafrost mass components |
title_sort |
year by year closure adjustment of global mean sea level budget, inclusive of lumped snow, water vapor, and permafrost mass components |
publisher |
De Gruyter |
publishDate |
2020 |
url |
https://doi.org/10.1515/jogs-2020-0109 https://doaj.org/article/e67ed4f9c0cc4810885962d5dc4c7f5c |
genre |
permafrost |
genre_facet |
permafrost |
op_source |
Journal of Geodetic Science, Vol 10, Iss 1, Pp 83-90 (2020) |
op_relation |
https://doi.org/10.1515/jogs-2020-0109 https://doaj.org/toc/2081-9943 2081-9943 doi:10.1515/jogs-2020-0109 https://doaj.org/article/e67ed4f9c0cc4810885962d5dc4c7f5c |
op_doi |
https://doi.org/10.1515/jogs-2020-0109 |
container_title |
Journal of Geodetic Science |
container_volume |
10 |
container_issue |
1 |
container_start_page |
83 |
op_container_end_page |
90 |
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1766165426151096320 |