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, Bars, Dewi Le
Format: Dataset
Language:unknown
Published: Zenodo 2023
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.3948087
https://zenodo.org/record/3948087
id ftdatacite:10.5281/zenodo.3948087
record_format openpolar
spelling ftdatacite:10.5281/zenodo.3948087 2023-10-01T03:52:08+02:00 Mean sea level fields used within the GTSMip simulations ... Muis, Sanne Irazoqui Apecechea, Maialen Bars, Dewi Le 2023 https://dx.doi.org/10.5281/zenodo.3948087 https://zenodo.org/record/3948087 unknown Zenodo https://dx.doi.org/10.5281/zenodo.3948088 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess Dataset dataset 2023 ftdatacite https://doi.org/10.5281/zenodo.394808710.5281/zenodo.3948088 2023-09-04T13:22:36Z 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 ... : {"references": ["Muis S, Irazoqui Apecechea M, Dullaart J, de Lima Rego J, Madsen KS, Su J, Yan K and Verlaan M (2020) A High-Resolution Global Dataset of Extreme Sea Levels, Tides, and Storm Surges, Including Future Projections. Front. Mar. Sci. 7:263. doi: 10.3389/fmars.2020.00263"]} ... Dataset Antarc* Antarctic Antarctica Greenland DataCite Metadata Store (German National Library of Science and Technology) Antarctic The Antarctic Greenland
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
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 ... : {"references": ["Muis S, Irazoqui Apecechea M, Dullaart J, de Lima Rego J, Madsen KS, Su J, Yan K and Verlaan M (2020) A High-Resolution Global Dataset of Extreme Sea Levels, Tides, and Storm Surges, Including Future Projections. Front. Mar. Sci. 7:263. doi: 10.3389/fmars.2020.00263"]} ...
format Dataset
author Muis, Sanne
Irazoqui Apecechea, Maialen
Bars, Dewi Le
spellingShingle Muis, Sanne
Irazoqui Apecechea, Maialen
Bars, Dewi Le
Mean sea level fields used within the GTSMip simulations ...
author_facet Muis, Sanne
Irazoqui Apecechea, Maialen
Bars, Dewi Le
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://dx.doi.org/10.5281/zenodo.3948087
https://zenodo.org/record/3948087
geographic Antarctic
The Antarctic
Greenland
geographic_facet Antarctic
The Antarctic
Greenland
genre Antarc*
Antarctic
Antarctica
Greenland
genre_facet Antarc*
Antarctic
Antarctica
Greenland
op_relation https://dx.doi.org/10.5281/zenodo.3948088
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5281/zenodo.394808710.5281/zenodo.3948088
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