Mean sea level fields used within the GTSMip simulations

TotalSeaLevel_MapsSROCC_rcp85_Perc50_zero1986to2005dflow_extrap.nc provides mean sea level fields using as reference period. Sea level fields are computed from the sum of different contributors, including dynamic changes, thermal expansion, changes in gravitational fields, and contribution from glac...

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Main Authors: Muis, Sanne, Irazoqui Apecechea, Maialen, Dewi Le Bars
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2023
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Online Access:https://doi.org/10.5281/zenodo.3948088
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spelling ftzenodo:oai:zenodo.org:3948088 2024-09-15T17:40:22+00:00 Mean sea level fields used within the GTSMip simulations Muis, Sanne Irazoqui Apecechea, Maialen Dewi Le Bars 2023-09-01 https://doi.org/10.5281/zenodo.3948088 unknown Zenodo https://doi.org/10.5281/zenodo.3948087 https://doi.org/10.5281/zenodo.3948088 oai:zenodo.org:3948088 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/other 2023 ftzenodo https://doi.org/10.5281/zenodo.394808810.5281/zenodo.3948087 2024-07-25T18:55:32Z TotalSeaLevel_MapsSROCC_rcp85_Perc50_zero1986to2005dflow_extrap.nc provides mean sea level fields using as reference period. Sea level fields are computed from the sum of different contributors, including dynamic changes, thermal expansion, changes in gravitational fields, and contribution from glaciers and ice sheets. The different contributions are computed and combined using the probabilistic model described in Le Bars (2018). For the period 1950-2016, we use products based on observations for the Antarctic and Greenland ice sheets (Mouginot et al., 2019; Rignot et al., 2019), the glaciers (Marzeion et al., 2015), thermal expansion between 0 and 2000 m depth (Levitus et al., 2012), and climate-driven water storage (Humphrey & Gudmundsson, 2019). The ice sheets are assumed to be in equilibrium before 1979 for Antarctica and 1972 for Greenland because no data are available before these dates. For the period 2016-2050 we use sea-level rise projections based on the Fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change (IPCC) for the RCP8.5 scenario (Church et al., 2013), very similar to the SSP585 scenario used by the models as above. The redistribution of water in the ocean due to wind changes and local steric effects is taken from the CMIP5 models (i.e. ‘zos’ field for the entire period). The fingerprints for the ice sheets, glaciers and land water storage are from the AR5 assessment, and include the gravitational, rotational and Earth elastic response. For the dynamics of the Antarctic contribution we use the re-evaluation presented in the IPCC’s Special Report on the Ocean and Cryosphere in a Changing Climate (SROCC) (Oppenheimer et al., 2019). Additionally, we add the glacial isostatic adjustment from the ICE-6G model (Peltier et al., 2015) but do not consider other processes of vertical land motion, such as subsidence or tectonics. The uncertainty in mean sea level is removed by selecting the median of the sea level observations and projections distributions. Note that at the ... Other/Unknown Material Antarc* Antarctic Antarctica Greenland Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
description TotalSeaLevel_MapsSROCC_rcp85_Perc50_zero1986to2005dflow_extrap.nc provides mean sea level fields using as reference period. Sea level fields are computed from the sum of different contributors, including dynamic changes, thermal expansion, changes in gravitational fields, and contribution from glaciers and ice sheets. The different contributions are computed and combined using the probabilistic model described in Le Bars (2018). For the period 1950-2016, we use products based on observations for the Antarctic and Greenland ice sheets (Mouginot et al., 2019; Rignot et al., 2019), the glaciers (Marzeion et al., 2015), thermal expansion between 0 and 2000 m depth (Levitus et al., 2012), and climate-driven water storage (Humphrey & Gudmundsson, 2019). The ice sheets are assumed to be in equilibrium before 1979 for Antarctica and 1972 for Greenland because no data are available before these dates. For the period 2016-2050 we use sea-level rise projections based on the Fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change (IPCC) for the RCP8.5 scenario (Church et al., 2013), very similar to the SSP585 scenario used by the models as above. The redistribution of water in the ocean due to wind changes and local steric effects is taken from the CMIP5 models (i.e. ‘zos’ field for the entire period). The fingerprints for the ice sheets, glaciers and land water storage are from the AR5 assessment, and include the gravitational, rotational and Earth elastic response. For the dynamics of the Antarctic contribution we use the re-evaluation presented in the IPCC’s Special Report on the Ocean and Cryosphere in a Changing Climate (SROCC) (Oppenheimer et al., 2019). Additionally, we add the glacial isostatic adjustment from the ICE-6G model (Peltier et al., 2015) but do not consider other processes of vertical land motion, such as subsidence or tectonics. The uncertainty in mean sea level is removed by selecting the median of the sea level observations and projections distributions. Note that at the ...
format Other/Unknown Material
author Muis, Sanne
Irazoqui Apecechea, Maialen
Dewi Le Bars
spellingShingle Muis, Sanne
Irazoqui Apecechea, Maialen
Dewi Le Bars
Mean sea level fields used within the GTSMip simulations
author_facet Muis, Sanne
Irazoqui Apecechea, Maialen
Dewi Le Bars
author_sort Muis, Sanne
title Mean sea level fields used within the GTSMip simulations
title_short Mean sea level fields used within the GTSMip simulations
title_full Mean sea level fields used within the GTSMip simulations
title_fullStr Mean sea level fields used within the GTSMip simulations
title_full_unstemmed Mean sea level fields used within the GTSMip simulations
title_sort mean sea level fields used within the gtsmip simulations
publisher Zenodo
publishDate 2023
url https://doi.org/10.5281/zenodo.3948088
genre Antarc*
Antarctic
Antarctica
Greenland
genre_facet Antarc*
Antarctic
Antarctica
Greenland
op_relation https://doi.org/10.5281/zenodo.3948087
https://doi.org/10.5281/zenodo.3948088
oai:zenodo.org:3948088
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.394808810.5281/zenodo.3948087
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