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- The future sea-level contribution of the Greenland ice sheet: a multi-model ensemble study of ISMIP6
description Publicationkeyboard_double_arrow_right Article , Preprint , Other literature type 2020 Netherlands, Belgium, Germany, United Kingdom, France, France, Belgium, United Kingdom, United KingdomCopernicus GmbH EC | ERA-PLANET, NSF | The Management and Operat..., NSF | Collaborative Research: I... +1 projectsEC| ERA-PLANET ,NSF| The Management and Operation of the National Center for Atmoshperic Research (NCAR) ,NSF| Collaborative Research: Ice sheet sensitivity in a changing Arctic system - using data and modeling to test the stable Greenland Ice Sheet hypothesis ,NWO| Perturbations of System Earth: Reading the Past to Project the Future - A proposal to create the Netherlands Earth System Science Centre (ESSC)H. Goelzer; H. Goelzer; H. Goelzer; S. Nowicki; A. Payne; E. Larour; H. Seroussi; W. H. Lipscomb; J. Gregory; J. Gregory; A. Abe-Ouchi; A. Shepherd; E. Simon; C. Agosta; P. Alexander; P. Alexander; A. Aschwanden; A. Barthel; R. Calov; C. Chambers; Y. Choi; Y. Choi; J. Cuzzone; C. Dumas; T. Edwards; D. Felikson; X. Fettweis; N. R. Golledge; R. Greve; R. Greve; A. Humbert; A. Humbert; P. Huybrechts; S. Le clec'h; V. Lee; G. Leguy; C. Little; D. P. Lowry; M. Morlighem; I. Nias; I. Nias; I. Nias; A. Quiquet; M. Rückamp; N.-J. Schlegel; D. A. Slater; D. A. Slater; R. S. Smith; F. Straneo; L. Tarasov; R. van de Wal; R. van de Wal; M. van den Broeke;Abstract. The Greenland ice sheet is one of the largest contributors to global meansea-level rise today and is expected to continue to lose mass as the Arcticcontinues to warm. The two predominant mass loss mechanisms are increasedsurface meltwater run-off and mass loss associated with the retreat ofmarine-terminating outlet glaciers. In this paper we use a large ensemble ofGreenland ice sheet models forced by output from a representative subset ofthe Coupled Model Intercomparison Project (CMIP5) global climate models to project ice sheet changes and sea-level risecontributions over the 21st century. The simulations are part of theIce Sheet Model Intercomparison Project for CMIP6 (ISMIP6). We estimate thesea-level contribution together with uncertainties due to future climateforcing, ice sheet model formulations and ocean forcing for the twogreenhouse gas concentration scenarios RCP8.5 and RCP2.6. The resultsindicate that the Greenland ice sheet will continue to lose mass in bothscenarios until 2100, with contributions of 90±50 and 32±17 mm to sea-level rise for RCP8.5 and RCP2.6, respectively. The largestmass loss is expected from the south-west of Greenland, which is governed bysurface mass balance changes, continuing what is already observed today.Because the contributions are calculated against an unforced controlexperiment, these numbers do not include any committed mass loss, i.e. massloss that would occur over the coming century if the climate forcingremained constant. Under RCP8.5 forcing, ice sheet model uncertaintyexplains an ensemble spread of 40 mm, while climate model uncertainty andocean forcing uncertainty account for a spread of 36 and 19 mm,respectively. Apart from those formally derived uncertainty ranges, thelargest gap in our knowledge is about the physical understanding andimplementation of the calving process, i.e. the interaction of the ice sheetwith the ocean. info:eu-repo/semantics/published
CORE (RIOXX-UK Aggre... arrow_drop_down NARCIS; Utrecht University RepositoryArticle . 2020Electronic Publication Information CenterArticle . 2020Data sources: Electronic Publication Information CenterThe Cryosphere (TC)Other literature type . Article . 2020Vrije Universiteit Brussel Research PortalOther literature type . 2020Data sources: Vrije Universiteit Brussel Research Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu126 citations 126 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!
more_vert CORE (RIOXX-UK Aggre... arrow_drop_down NARCIS; Utrecht University RepositoryArticle . 2020Electronic Publication Information CenterArticle . 2020Data sources: Electronic Publication Information CenterThe Cryosphere (TC)Other literature type . Article . 2020Vrije Universiteit Brussel Research PortalOther literature type . 2020Data sources: Vrije Universiteit Brussel Research Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/tc-2019-319&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu description Publicationkeyboard_double_arrow_right Other literature type , Article , Preprint 2020 Denmark, Denmark, GermanyCopernicus GmbH NSF | The Polar Geospatial Info..., EC | ERA-PLANET, NSF | Automated, High Resolutio...NSF| The Polar Geospatial Information Center: Joint Support ,EC| ERA-PLANET ,NSF| Automated, High Resolution Terrain Generation for XSEDEChristine S. Hvidberg; Aslak Grinsted; Dorthe Dahl-Jensen; Shfaqat Abbas Khan; Anders Kusk; Jonas Kvist Andersen; Niklas Neckel; Anne M. Solgaard; Nanna B. Karlsson; Helle Astrid Kjær; Paul Vallelonga;The Northeast Greenland Ice Stream (NEGIS) extends around 600 km upstream from the coast to its onset near the ice divide in interior Greenland. Several maps of surface velocity and topography in the interior Greenland exist, but the accuracy is not well constrained by in situ observations and limiting detailed studies of flow structures and shear margins near the onset of NEGIS. Here we present the results from a GPS mapping of surface velocity in an area located approximately 150 km from the ice divide near the East Greenland Ice-core Project (EastGRIP) deep drilling site (75°38’ N, 35°60’ W). A GPS strain net consisting of 63 poles was established and observed over the years 2015–2019. The strain net covers 35 km along NEGIS and 40 km across NEGIS, including both shear margins. The ice flows with a uniform surface speed of approximately 55 m a−1 within a > 10 km wide central flow band with strain rates in the order of 10−4 a−1. The strain rates increase in the shear margins by an order of magnitude, and 10–20 m deep shear margin troughs mark a zone with enhanced longitudinal stretching, transverse compression and shear. We compare the GPS results to the Arctic Digital Elevation Model (ArcticDEM) and a list of satellite-based surface velocity products in order to evaluate these products. For each velocity product, we determine the bias and precision of the velocity compared to the GPS observations, as well as the smoothing of the velocity products needed to obtain optimal precision. The best products have a bias and precision of ~0.5 m a−1. We combine the GPS results with satellite-based products and show that organized patterns in flow and topography emerge in the NEGIS ice stream when the surface velocity exceeds approximately 55 m a−1 and are related to bedrock topography.
The Cryosphere (TC) arrow_drop_down Electronic Publication Information CenterArticle . 2020Data sources: Electronic Publication Information CenterOnline Research Database In TechnologyArticle . 2020Data sources: Online Research Database In TechnologyCopenhagen University Research Information SystemArticle . 2020Data sources: Copenhagen University Research Information Systemadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu23 citations 23 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert The Cryosphere (TC) arrow_drop_down Electronic Publication Information CenterArticle . 2020Data sources: Electronic Publication Information CenterOnline Research Database In TechnologyArticle . 2020Data sources: Online Research Database In TechnologyCopenhagen University Research Information SystemArticle . 2020Data sources: Copenhagen University Research Information Systemadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2020 Germany, BelgiumCopernicus GmbH EC | ERA-PLANET, NWO | Perturbations of System E...EC| ERA-PLANET ,NWO| Perturbations of System Earth: Reading the Past to Project the Future - A proposal to create the Netherlands Earth System Science Centre (ESSC)Authors: Martin Rückamp; Heiko Goelzer; Angelika Humbert;Martin Rückamp; Heiko Goelzer; Angelika Humbert;Projections of the contribution of the Greenland ice sheet to future sea-level rise include uncertainties primarily due to the imposed climate forcing and the initial state of the ice sheet model. Several state-of-the-art ice flow models are currently being employed on various grid resolutions to estimate future mass changes in the framework of the Ice Sheet Model Intercomparison Project for CMIP6 (ISMIP6). Here we investigate the sensitivity to grid resolution of centennial sea-level contributions from the Greenland ice sheet and study the mechanism at play.We employ the finiteelement higher-order Ice-sheet and Sea-level System Model (ISSM) and conduct experiments with four different horizontal resolutions, namely 4, 2, 1 and 0.75 km. We run the simulation based on the ISMIP6 core climate forcing from the MIROC5 global circulation model (GCM) under the highemission Representative Concentration Pathway (RCP) 8.5 scenario and consider both atmospheric and oceanic forcing in full and separate scenarios. Under the full scenarios, finer simulations unveil up to approximately 5% more sea-level rise compared to the coarser resolution. The sensitivity depends on the magnitude of outlet glacier retreat, which is implemented as a series of retreat masks following the ISMIP6 protocol. Without imposed retreat under atmosphereonly forcing, the resolution dependency exhibits an opposite behaviour with approximately 5% more sea-level contribution in the coarser resolution. The sea-level contribution indicates a converging behaviour below a 1 km horizontal resolution. A driving mechanism for differences is the ability to resolve the bedrock topography, which highly controls ice discharge to the ocean. Additionally, thinning and acceleration emerge to propagate further inland in high resolution for many glaciers. A major response mechanism is sliding, with an enhanced feedback on the effective normal pressure at higher resolution leading to a larger increase in sliding speeds under scenarios with outlet glacier retreat. info:eu-repo/semantics/published SCOPUS: ar.j
The Cryosphere; The ... arrow_drop_down The Cryosphere (TC)Other literature type . Article . 2020Electronic Publication Information CenterArticle . 2020Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert The Cryosphere; The ... arrow_drop_down The Cryosphere (TC)Other literature type . Article . 2020Electronic Publication Information CenterArticle . 2020Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/tc-14-3309-2020&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021 Germany, United KingdomCopernicus GmbH UKRI | Ice shelves in a warming ..., EC | ERA-PLANETUKRI| Ice shelves in a warming world: Filchner Ice Shelf system, Antarctica ,EC| ERA-PLANETCoen Hofstede; Sebastian Beyer; Hugh F. J. Corr; Olaf Eisen; Tore Hattermann; Veit Helm; Niklas Neckel; Emma Smith; Daniel Steinhage; Ole Zeising; Angelika Humbert;Curvilinear channels on the surface of an ice shelf indicate the presence of large channels at the base. Modelling studies have shown that where these surface expressions intersect the grounding line, they coincide with the likely outflow of subglacial water. An understanding of the initiation and the ice–ocean evolution of the basal channels is required to understand the present behaviour and future dynamics of ice sheets and ice shelves. Here, we present focused active seismic and radar surveys of a basal channel, ∼950 m wide and ∼200 m high, and its upstream continuation beneath Support Force Glacier, which feeds into the Filchner Ice Shelf, West Antarctica. Immediately seaward from the grounding line, below the basal channel, the seismic profiles show an ∼6.75 km long, 3.2 km wide and 200 m thick sedimentary sequence with chaotic to weakly stratified reflections we interpret as a grounding line fan deposited by a subglacial drainage channel directly upstream of the basal channel. Further downstream the seabed has a different character; it consists of harder, stratified consolidated sediments, deposited under different glaciological circumstances, or possibly bedrock. In contrast to the standard perception of a rapid change in ice shelf thickness just downstream of the grounding line, we find a flat topography of the ice shelf base with an almost constant ice thickness gradient along-flow, indicating only little basal melting, but an initial widening of the basal channel, which we ascribe to melting along its flanks. Our findings provide a detailed view of a more complex interaction between the ocean and subglacial hydrology to form basal channels in ice shelves.
The Cryosphere (TC);... arrow_drop_down The Cryosphere (TC); NERC Open Research ArchiveOther literature type . Article . 2021The Cryosphere (TC)Other literature type . Article . 2021Electronic Publication Information CenterArticle . 2021Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/tc-15-1517-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu5 citations 5 popularity Top 10% influence Average impulse Average Powered by BIP!
visibility 5visibility views 5 download downloads 6 Powered bymore_vert The Cryosphere (TC);... arrow_drop_down The Cryosphere (TC); NERC Open Research ArchiveOther literature type . Article . 2021The Cryosphere (TC)Other literature type . Article . 2021Electronic Publication Information CenterArticle . 2021Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu- ISMIP6 Antarctica: a multi-model ensemble of the Antarctic ice sheet evolution over the 21st century
description Publicationkeyboard_double_arrow_right Article , Other literature type 2020 Germany, France, Netherlands, Germany, France, Belgium, BelgiumCopernicus GmbH ARC | Special Research Initiati..., NSF | The Management and Operat..., NSF | RAPID: Ocean Forcing for ... +8 projectsARC| Special Research Initiatives - Grant ID: SR140300001 ,NSF| The Management and Operation of the National Center for Atmoshperic Research (NCAR) ,NSF| RAPID: Ocean Forcing for Ice Sheet Models for the IPCC Sixth Assessment Report ,NWO| Quality assured industrial scale production of eave tube inserts for malaria control in Africa ,EC| ERA-PLANET ,NWO| Perturbations of System Earth: Reading the Past to Project the Future - A proposal to create the Netherlands Earth System Science Centre (ESSC) ,ANR| TROIS-AS ,AKA| The impact of Antarctic Ice Sheet - Southern Ocean interactions on marine ice sheet stability and ocean circulation/ Consortium: COLD ,AKA| Simulating Antarctic marine ice sheet stability and multi-century contributions to sea level rise ,NSF| NSF-NERC: PROcesses, drivers, Predictions: Modeling the response of Thwaites Glacier over the next Century using Ice/Ocean Coupled Models (PROPHET) ,EC| TiPACCsH. Seroussi; S. Nowicki; A. J. Payne; H. Goelzer; H. Goelzer; W. H. Lipscomb; A. Abe-Ouchi; C. Agosta; T. Albrecht; X. Asay-Davis; A. Barthel; R. Calov; R. Cullather; C. Dumas; B. K. Galton-Fenzi; R. Gladstone; N. R. Golledge; J. M. Gregory; J. M. Gregory; R. Greve; R. Greve; T. Hattermann; T. Hattermann; M. J. Hoffman; A. Humbert; A. Humbert; P. Huybrechts; N. C. Jourdain; T. Kleiner; E. Larour; G. R. Leguy; D. P. Lowry; C. M. Little; M. Morlighem; F. Pattyn; T. Pelle; S. F. Price; A. Quiquet; R. Reese; N.-J. Schlegel; A. Shepherd; E. Simon; R. S. Smith; F. Straneo; S. Sun; L. D. Trusel; J. Van Breedam; R. S. W. van de Wal; R. S. W. van de Wal; R. Winkelmann; R. Winkelmann; C. Zhao; T. Zhang; T. Zwinger;Abstract. Ice flow models of the Antarctic ice sheet are commonly used to simulate its future evolution inresponse to different climate scenarios and assess the mass loss that would contribute tofuture sea level rise. However, there is currently no consensus on estimates of the future massbalance of the ice sheet, primarily because of differences in the representation of physicalprocesses, forcings employed and initial states of ice sheet models. This study presentsresults from ice flow model simulations from 13 international groups focusing on the evolutionof the Antarctic ice sheet during the period 2015–2100 as part of the Ice Sheet ModelIntercomparison for CMIP6 (ISMIP6). They are forced with outputs from a subset of models from theCoupled Model Intercomparison Project Phase 5 (CMIP5), representative of the spread in climatemodel results. Simulations of the Antarctic ice sheet contribution to sea level rise in responseto increased warming during this period varies between −7.8 and 30.0 cm of sea level equivalent(SLE) under Representative ConcentrationPathway (RCP) 8.5 scenario forcing. These numbers are relative to a control experiment withconstant climate conditions and should therefore be added to the mass loss contribution underclimate conditions similar to present-day conditions over the same period. The simulated evolution of theWest Antarctic ice sheet varies widely among models, with an overall mass loss, up to 18.0 cm SLE, in response to changes in oceanic conditions. East Antarctica mass change varies between −6.1 and8.3 cm SLE in the simulations, with a significant increase in surface mass balance outweighingthe increased ice discharge under most RCP 8.5 scenario forcings. The inclusion of ice shelfcollapse, here assumed to be caused by large amounts of liquid water ponding at the surface ofice shelves, yields an additional simulated mass loss of 28 mm compared to simulations without iceshelf collapse. The largest sources of uncertainty come from the climate forcing, the ocean-induced melt rates, thecalibration of these melt rates based on oceanic conditions taken outside of ice shelf cavitiesand the ice sheet dynamic response to these oceanic changes. Results under RCP 2.6 scenario basedon two CMIP5 climate models show an additional mass loss of 0 and 3 cm of SLE on average compared tosimulations done under present-day conditions for the two CMIP5 forcings used and displaylimited mass gain in East Antarctica. info:eu-repo/semantics/published
CORE (RIOXX-UK Aggre... arrow_drop_down NARCIS; Utrecht University RepositoryArticle . 2020The Cryosphere; Vrije Universiteit Brussel Research Portal; The Cryosphere (TC)Other literature type . Article . 2020Electronic Publication Information CenterArticle . 2020Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu162 citations 162 popularity Top 0.1% influence Top 10% impulse Top 0.1% Powered by BIP!
visibility 4visibility views 4 download downloads 21 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down NARCIS; Utrecht University RepositoryArticle . 2020The Cryosphere; Vrije Universiteit Brussel Research Portal; The Cryosphere (TC)Other literature type . Article . 2020Electronic Publication Information CenterArticle . 2020Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu apps Other research product2018 English AKA | Novel Assessment of Black..., EC | PEGASOS, EC | ACCESSAKA| Novel Assessment of Black Carbon in the Eurasian Arctic: From Historical Concentrations and Sources to Future Climate Impacts (NABCEA) / Consortium: NABCEA ,EC| PEGASOS ,EC| ACCESSAuthors: Räisänen, Petri; Makkonen, Risto; Kirkevåg, Alf; Debernard, Jens B.;Räisänen, Petri; Makkonen, Risto; Kirkevåg, Alf; Debernard, Jens B.;Snow consists of non-spherical grains of various shapes and sizes. Still, in radiative transfer calculations, snow grains are often treated as spherical. This also applies to the computation of snow albedo in the Snow, Ice, and Aerosol Radiation (SNICAR) model and in the Los Alamos sea ice model, version 4 (CICE4), both of which are employed in the Community Earth System Model and in the Norwegian Earth System Model (NorESM). In this study, we evaluate the effect of snow grain shape on climate simulated by NorESM in a slab ocean configuration of the model. An experiment with spherical snow grains (SPH) is compared with another (NONSPH) in which the snow shortwave single-scattering properties are based on a combination of three non-spherical snow grain shapes optimized using measurements of angular scattering by blowing snow. The key difference between these treatments is that the asymmetry parameter is smaller in the non-spherical case (0.77–0.78 in the visible region) than in the spherical case ( ≈ 0.89). Therefore, for the same effective snow grain size (or equivalently, the same specific projected area), the snow broadband albedo is higher when assuming non-spherical rather than spherical snow grains, typically by 0.02–0.03. Considering the spherical case as the baseline, this results in an instantaneous negative change in net shortwave radiation with a global-mean top-of-the-model value of ca. −0.22 W m−2. Although this global-mean radiative effect is rather modest, the impacts on the climate simulated by NorESM are substantial. The global annual-mean 2 m air temperature in NONSPH is 1.17 K lower than in SPH, with substantially larger differences at high latitudes. The climatic response is amplified by strong snow and sea ice feedbacks. It is further demonstrated that the effect of snow grain shape could be largely offset by adjusting the snow grain size. When assuming non-spherical snow grains with the parameterized grain size increased by ca. 70 %, the climatic differences to the SPH experiment become very small. Finally, the impact of assumed snow grain shape on the radiative effects of absorbing aerosols in snow is discussed.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2020Copernicus GmbH EC | ERA-PLANETEC| ERA-PLANETColleen Mortimer; Lawrence Mudryk; Chris Derksen; Kari Luojus; Ross Brown; Richard Kelly; Marco Tedesco;Nine gridded Northern Hemisphere snow water equivalent (SWE) products were evaluated as part of the European Space Agency (ESA) Satellite Snow Product Intercomparison and Evaluation Exercise (SnowPEx). Three categories of datasets were assessed: (1) those utilizing some form of reanalysis (the NASA Global Land Data Assimilation System version 2 – GLDAS-2; the European Centre for Medium-Range Weather Forecasts (ECMWF) interim land surface reanalysis – ERA-Interim/Land and ERA5; the NASA Modern-Era Retrospective Analysis for Research and Applications version 1 (MERRA) and version 2 (MERRA-2); the Crocus snow model driven by ERA-Interim meteorology – Crocus); (2) passive microwave remote sensing combined with daily surface snow depth observations (ESA GlobSnow v2.0); and (3) stand-alone passive microwave retrievals (NASA AMSR-E SWE versions 1.0 and 2.0) which do not utilize surface snow observations. Evaluation included validation against independent snow course measurements from Russia, Finland, and Canada and product intercomparison through the calculation of spatial and temporal correlations in SWE anomalies. The stand-alone passive microwave SWE products (AMSR-E v1.0 and v2.0 SWE) exhibit low spatial and temporal correlations to other products and RMSE nearly double the best performing product. Constraining passive microwave retrievals with surface observations (GlobSnow) provides performance comparable to the reanalysis-based products; RMSE over Finland and Russia for all but the AMSR-E products is ∼50 mm or less, with the exception of ERA-Interim/Land over Russia. Using a seven-dataset ensemble that excluded the stand-alone passive microwave products reduced the RMSE by 10 mm (20 %) and increased the correlation from 0.67 to 0.78 compared to any individual product. The overall performance of the best multiproduct combinations is still at the margins of acceptable uncertainty for scientific and operational requirements; only through combined and integrated improvements in remote sensing, modeling, and observations will real progress in SWE product development be achieved.
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For further information contact us at helpdesk@openaire.eu67 citations 67 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article 2017 ItalyCopernicus GmbH EC | CRESCENDO, EC | PRIMAVERA, EC | ECOPOTENTIALEC| CRESCENDO ,EC| PRIMAVERA ,EC| ECOPOTENTIALAuthors: Silvia Terzago; Jost von Hardenberg; Elisa Palazzi; Antonello Provenzale;Silvia Terzago; Jost von Hardenberg; Elisa Palazzi; Antonello Provenzale;Abstract. The estimate of the current and future conditions of snow resources in mountain areas would require reliable, kilometre-resolution, regional-observation-based gridded data sets and climate models capable of properly representing snow processes and snow–climate interactions. At the moment, the development of such tools is hampered by the sparseness of station-based reference observations. In past decades passive microwave remote sensing and reanalysis products have mainly been used to infer information on the snow water equivalent distribution. However, the investigation has usually been limited to flat terrains as the reliability of these products in mountain areas is poorly characterized.This work considers the available snow water equivalent data sets from remote sensing and from reanalyses for the greater Alpine region (GAR), and explores their ability to provide a coherent view of the snow water equivalent distribution and climatology in this area. Further we analyse the simulations from the latest-generation regional and global climate models (RCMs, GCMs), participating in the Coordinated Regional Climate Downscaling Experiment over the European domain (EURO-CORDEX) and in the Fifth Coupled Model Intercomparison Project (CMIP5) respectively. We evaluate their reliability in reproducing the main drivers of snow processes – near-surface air temperature and precipitation – against the observational data set EOBS, and compare the snow water equivalent climatology with the remote sensing and reanalysis data sets previously considered. We critically discuss the model limitations in the historical period and we explore their potential in providing reliable future projections.The results of the analysis show that the time-averaged spatial distribution of snow water equivalent and the amplitude of its annual cycle are reproduced quite differently by the different remote sensing and reanalysis data sets, which in fact exhibit a large spread around the ensemble mean. We find that GCMs at spatial resolutions equal to or finer than 1.25° longitude are in closer agreement with the ensemble mean of satellite and reanalysis products in terms of root mean square error and standard deviation than lower-resolution GCMs. The set of regional climate models from the EURO-CORDEX ensemble provides estimates of snow water equivalent at 0.11° resolution that are locally much larger than those indicated by the gridded data sets, and only in a few cases are these differences smoothed out when snow water equivalent is spatially averaged over the entire Alpine domain. ERA-Interim-driven RCM simulations show an annual snow cycle that is comparable in amplitude to those provided by the reference data sets, while GCM-driven RCMs present a large positive bias. RCMs and higher-resolution GCM simulations are used to provide an estimate of the snow reduction expected by the mid-21st century (RCP 8.5 scenario) compared to the historical climatology, with the main purpose of highlighting the limits of our current knowledge and the need for developing more reliable snow simulations.
The Cryosphere (TC) arrow_drop_down The Cryosphere (TC)Other literature type . Article . 2017add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu28 citations 28 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
visibility 2visibility views 2 download downloads 0 Powered bymore_vert The Cryosphere (TC) arrow_drop_down The Cryosphere (TC)Other literature type . Article . 2017add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Preprint 2020Copernicus GmbH UKRI | Ice shelves in a warming ..., EC | ERA-PLANETUKRI| Ice shelves in a warming world: Filchner Ice Shelf system, Antarctica ,EC| ERA-PLANETCoen Hofstede; Sebastian Beyer; Hugh F. J. Corr; Olaf Eisen; Tore Hattermann; Veit Helm; Niklas Neckel; Emma Smith; Daniel Steinhage; Ole Zeising; Angelika Humbert;doi: 10.5194/tc-2020-54
Abstract. Flow stripes on the surface of an ice shelf indicate the presence of large channels at the base. Modelling studies have shown that where these surface expressions intersect the groundling line, they coincide with the likely outflow of subglacial water. An understanding of the initiation and the ice–ocean evolution of the basal channels is required to understand the present behaviour and future dynamics of ice sheets and ice shelves. Here, we present focused active seismic and radar surveys of a basal channel and its upstream continuation on Support Force Glacier which feeds into the Filchner Ice Shelf, West Antarctica. We map the structure of the basal channel at the ice base in the grounded and floating part and identify the subglacial material within the grounded part of the channel and also along the seafloor. Several kilometers upstream of the grounding line we identify a landform, consisting at least in part of sediments, that forms the channel at the ice base. Immediately seaward of the grounding line, the seismic profiles show a 200 m thick partly disturbed, stratified sediment sequence at the seafloor, which we interpret as grounding line deposits. We conclude that the landform hosts the subglacial transport of sediments entering Support Force Glacier at the eastern side of the basal channel. In contrast to the standard perception of a rapid change in ice shelf thickness just downstream of the grounding line, we find a very flat topography of the ice shelf base with an almost constant ice thickness gradient along flow, indicating only little basal melting, but an initial widening of the basal channel, which we ascribe to melting along its flanks. Our findings provide a detailed view of a more complex interaction of grounded landforms, ice stream shear margins and subglacial hydrology to form basal channels in ice shelves.
The Cryosphere (TC) arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert The Cryosphere (TC) arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/tc-2020-54&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021 GermanyCopernicus GmbH EC | ERA-PLANETEC| ERA-PLANETAuthors: Ole Zeising; Angelika Humbert;Ole Zeising; Angelika Humbert;The accelerated ice flow of ice streams that reach far into the interior of the ice sheets is associated with lubrication of the ice sheet base by basal meltwater. However, the amount of basal melting under the large ice streams – such as the Northeast Greenland Ice Stream (NEGIS) – is largely unknown. In situ measurements of basal melt rates are important from various perspectives as they indicate the heat budget, the hydrological regime and the relative importance of sliding in glacier motion. The few previous estimates of basal melt rates in the NEGIS region were 0.1 m a−1 and more, based on radiostratigraphy methods. These findings raised the question of the heat source, since even an increased geothermal heat flux could not deliver the necessary amount of heat. Here, we present basal melt rates at the recent deep drill site EastGRIP, located in the centre of NEGIS. Within 2 subsequent years, we found basal melt rates of 0.19±0.04 m a−1 that are based on analysis of repeated phase-sensitive radar measurements. In order to quantify the contribution of processes that contribute to melting, we carried out an assessment of the energy balance at the interface and found the subglacial water system to play a key role in facilitating such high melt rates.
The Cryosphere (TC) arrow_drop_down The Cryosphere (TC)Other literature type . Article . 2021Electronic Publication Information CenterArticle . 2021Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert The Cryosphere (TC) arrow_drop_down The Cryosphere (TC)Other literature type . Article . 2021Electronic Publication Information CenterArticle . 2021Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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- The future sea-level contribution of the Greenland ice sheet: a multi-model ensemble study of ISMIP6
description Publicationkeyboard_double_arrow_right Article , Preprint , Other literature type 2020 Netherlands, Belgium, Germany, United Kingdom, France, France, Belgium, United Kingdom, United KingdomCopernicus GmbH EC | ERA-PLANET, NSF | The Management and Operat..., NSF | Collaborative Research: I... +1 projectsEC| ERA-PLANET ,NSF| The Management and Operation of the National Center for Atmoshperic Research (NCAR) ,NSF| Collaborative Research: Ice sheet sensitivity in a changing Arctic system - using data and modeling to test the stable Greenland Ice Sheet hypothesis ,NWO| Perturbations of System Earth: Reading the Past to Project the Future - A proposal to create the Netherlands Earth System Science Centre (ESSC)H. Goelzer; H. Goelzer; H. Goelzer; S. Nowicki; A. Payne; E. Larour; H. Seroussi; W. H. Lipscomb; J. Gregory; J. Gregory; A. Abe-Ouchi; A. Shepherd; E. Simon; C. Agosta; P. Alexander; P. Alexander; A. Aschwanden; A. Barthel; R. Calov; C. Chambers; Y. Choi; Y. Choi; J. Cuzzone; C. Dumas; T. Edwards; D. Felikson; X. Fettweis; N. R. Golledge; R. Greve; R. Greve; A. Humbert; A. Humbert; P. Huybrechts; S. Le clec'h; V. Lee; G. Leguy; C. Little; D. P. Lowry; M. Morlighem; I. Nias; I. Nias; I. Nias; A. Quiquet; M. Rückamp; N.-J. Schlegel; D. A. Slater; D. A. Slater; R. S. Smith; F. Straneo; L. Tarasov; R. van de Wal; R. van de Wal; M. van den Broeke;Abstract. The Greenland ice sheet is one of the largest contributors to global meansea-level rise today and is expected to continue to lose mass as the Arcticcontinues to warm. The two predominant mass loss mechanisms are increasedsurface meltwater run-off and mass loss associated with the retreat ofmarine-terminating outlet glaciers. In this paper we use a large ensemble ofGreenland ice sheet models forced by output from a representative subset ofthe Coupled Model Intercomparison Project (CMIP5) global climate models to project ice sheet changes and sea-level risecontributions over the 21st century. The simulations are part of theIce Sheet Model Intercomparison Project for CMIP6 (ISMIP6). We estimate thesea-level contribution together with uncertainties due to future climateforcing, ice sheet model formulations and ocean forcing for the twogreenhouse gas concentration scenarios RCP8.5 and RCP2.6. The resultsindicate that the Greenland ice sheet will continue to lose mass in bothscenarios until 2100, with contributions of 90±50 and 32±17 mm to sea-level rise for RCP8.5 and RCP2.6, respectively. The largestmass loss is expected from the south-west of Greenland, which is governed bysurface mass balance changes, continuing what is already observed today.Because the contributions are calculated against an unforced controlexperiment, these numbers do not include any committed mass loss, i.e. massloss that would occur over the coming century if the climate forcingremained constant. Under RCP8.5 forcing, ice sheet model uncertaintyexplains an ensemble spread of 40 mm, while climate model uncertainty andocean forcing uncertainty account for a spread of 36 and 19 mm,respectively. Apart from those formally derived uncertainty ranges, thelargest gap in our knowledge is about the physical understanding andimplementation of the calving process, i.e. the interaction of the ice sheetwith the ocean. info:eu-repo/semantics/published
CORE (RIOXX-UK Aggre... arrow_drop_down NARCIS; Utrecht University RepositoryArticle . 2020Electronic Publication Information CenterArticle . 2020Data sources: Electronic Publication Information CenterThe Cryosphere (TC)Other literature type . Article . 2020