Simulation of the future sea level contribution of Greenland with a new glacial system model

We introduce the coupled model of the Greenland glacial system IGLOO 1.0, including the polythermal ice sheet model SICOPOLIS (version 3.3) with hybrid dynamics, the model of basal hydrology HYDRO and a parameterization of submarine melt for marine-terminated outlet glaciers. The aim of this glacial...

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Main Authors: Calov, Reinhard, Beyer, Sebastian, Greve, Ralf, Beckmann, Johanna, Willeit, Matteo, Kleiner, Thomas, Rückamp, Martin, Humbert, Angelika, Ganopolski, Andrey
Format: Article in Journal/Newspaper
Language:English
Published: Katlenburg-Lindau : Copernicus 2018
Subjects:
910
550
Online Access:https://oa.tib.eu/renate/handle/123456789/11317
https://doi.org/10.34657/10352
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spelling ftleibnizopen:oai:oai.leibnizopen.de:szA974cBdbrxVwz6DsFo 2023-06-11T04:07:00+02:00 Simulation of the future sea level contribution of Greenland with a new glacial system model Calov, Reinhard Beyer, Sebastian Greve, Ralf Beckmann, Johanna Willeit, Matteo Kleiner, Thomas Rückamp, Martin Humbert, Angelika Ganopolski, Andrey 2018 application/pdf https://oa.tib.eu/renate/handle/123456789/11317 https://doi.org/10.34657/10352 eng eng Katlenburg-Lindau : Copernicus CC BY 4.0 Unported https://creativecommons.org/licenses/by/4.0/ The Cryosphere : TC 12 (2018), Nr. 10 ice-sheet model surface mass-balance submarine melt numerical simulations water-flow ocean projections elevation sensitivity antarctica 910 550 article Text 2018 ftleibnizopen https://doi.org/10.34657/10352 2023-05-07T23:09:08Z We introduce the coupled model of the Greenland glacial system IGLOO 1.0, including the polythermal ice sheet model SICOPOLIS (version 3.3) with hybrid dynamics, the model of basal hydrology HYDRO and a parameterization of submarine melt for marine-terminated outlet glaciers. The aim of this glacial system model is to gain a better understanding of the processes important for the future contribution of the Greenland ice sheet to sea level rise under future climate change scenarios. The ice sheet is initialized via a relaxation towards observed surface elevation, imposing the palaeo-surface temperature over the last glacial cycle. As a present-day reference, we use the 1961-1990 standard climatology derived from simulations of the regional atmosphere model MAR with ERA reanalysis boundary conditions. For the palaeo-part of the spin-up, we add the temperature anomaly derived from the GRIP ice core to the years 1961-1990 average surface temperature field. For our projections, we apply surface temperature and surface mass balance anomalies derived from RCP 4.5 and RCP 8.5 scenarios created by MAR with boundary conditions from simulations with three CMIP5 models. The hybrid ice sheet model is fully coupled with the model of basal hydrology. With this model and the MAR scenarios, we perform simulations to estimate the contribution of the Greenland ice sheet to future sea level rise until the end of the 21st and 23rd centuries. Further on, the impact of elevation-surface mass balance feedback, introduced via the MAR data, on future sea level rise is inspected. In our projections, we found the Greenland ice sheet to contribute between 1.9 and 13.0 cm to global sea level rise until the year 2100 and between 3.5 and 76.4 cm until the year 2300, including our simulated additional sea level rise due to elevation-surface mass balance feedback. Translated into additional sea level rise, the strength of this feedback in the year 2100 varies from 0.4 to 1.7 cm, and in the year 2300 it ranges from 1.7 to 21.8 cm. Additionally, ... Article in Journal/Newspaper Antarc* Antarctica Greenland GRIP ice core Ice Sheet The Cryosphere LeibnizOpen (The Leibniz Association) Greenland
institution Open Polar
collection LeibnizOpen (The Leibniz Association)
op_collection_id ftleibnizopen
language English
topic ice-sheet model
surface mass-balance
submarine melt
numerical simulations
water-flow
ocean
projections
elevation
sensitivity
antarctica
910
550
spellingShingle ice-sheet model
surface mass-balance
submarine melt
numerical simulations
water-flow
ocean
projections
elevation
sensitivity
antarctica
910
550
Calov, Reinhard
Beyer, Sebastian
Greve, Ralf
Beckmann, Johanna
Willeit, Matteo
Kleiner, Thomas
Rückamp, Martin
Humbert, Angelika
Ganopolski, Andrey
Simulation of the future sea level contribution of Greenland with a new glacial system model
topic_facet ice-sheet model
surface mass-balance
submarine melt
numerical simulations
water-flow
ocean
projections
elevation
sensitivity
antarctica
910
550
description We introduce the coupled model of the Greenland glacial system IGLOO 1.0, including the polythermal ice sheet model SICOPOLIS (version 3.3) with hybrid dynamics, the model of basal hydrology HYDRO and a parameterization of submarine melt for marine-terminated outlet glaciers. The aim of this glacial system model is to gain a better understanding of the processes important for the future contribution of the Greenland ice sheet to sea level rise under future climate change scenarios. The ice sheet is initialized via a relaxation towards observed surface elevation, imposing the palaeo-surface temperature over the last glacial cycle. As a present-day reference, we use the 1961-1990 standard climatology derived from simulations of the regional atmosphere model MAR with ERA reanalysis boundary conditions. For the palaeo-part of the spin-up, we add the temperature anomaly derived from the GRIP ice core to the years 1961-1990 average surface temperature field. For our projections, we apply surface temperature and surface mass balance anomalies derived from RCP 4.5 and RCP 8.5 scenarios created by MAR with boundary conditions from simulations with three CMIP5 models. The hybrid ice sheet model is fully coupled with the model of basal hydrology. With this model and the MAR scenarios, we perform simulations to estimate the contribution of the Greenland ice sheet to future sea level rise until the end of the 21st and 23rd centuries. Further on, the impact of elevation-surface mass balance feedback, introduced via the MAR data, on future sea level rise is inspected. In our projections, we found the Greenland ice sheet to contribute between 1.9 and 13.0 cm to global sea level rise until the year 2100 and between 3.5 and 76.4 cm until the year 2300, including our simulated additional sea level rise due to elevation-surface mass balance feedback. Translated into additional sea level rise, the strength of this feedback in the year 2100 varies from 0.4 to 1.7 cm, and in the year 2300 it ranges from 1.7 to 21.8 cm. Additionally, ...
format Article in Journal/Newspaper
author Calov, Reinhard
Beyer, Sebastian
Greve, Ralf
Beckmann, Johanna
Willeit, Matteo
Kleiner, Thomas
Rückamp, Martin
Humbert, Angelika
Ganopolski, Andrey
author_facet Calov, Reinhard
Beyer, Sebastian
Greve, Ralf
Beckmann, Johanna
Willeit, Matteo
Kleiner, Thomas
Rückamp, Martin
Humbert, Angelika
Ganopolski, Andrey
author_sort Calov, Reinhard
title Simulation of the future sea level contribution of Greenland with a new glacial system model
title_short Simulation of the future sea level contribution of Greenland with a new glacial system model
title_full Simulation of the future sea level contribution of Greenland with a new glacial system model
title_fullStr Simulation of the future sea level contribution of Greenland with a new glacial system model
title_full_unstemmed Simulation of the future sea level contribution of Greenland with a new glacial system model
title_sort simulation of the future sea level contribution of greenland with a new glacial system model
publisher Katlenburg-Lindau : Copernicus
publishDate 2018
url https://oa.tib.eu/renate/handle/123456789/11317
https://doi.org/10.34657/10352
geographic Greenland
geographic_facet Greenland
genre Antarc*
Antarctica
Greenland
GRIP
ice core
Ice Sheet
The Cryosphere
genre_facet Antarc*
Antarctica
Greenland
GRIP
ice core
Ice Sheet
The Cryosphere
op_source The Cryosphere : TC 12 (2018), Nr. 10
op_rights CC BY 4.0 Unported
https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.34657/10352
_version_ 1768379408554393600