2012
DOI: 10.5194/tc-6-1275-2012
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Greenland ice sheet surface mass balance: evaluating simulations and making projections with regional climate models

Abstract: Abstract. Four high-resolution regional climate models (RCMs) have been set up for the area of Greenland, with the aim of providing future projections of Greenland ice sheet surface mass balance (SMB), and its contribution to sea level rise, with greater accuracy than is possible from coarserresolution general circulation models (GCMs). This is the first time an intercomparison has been carried out of RCM results for Greenland climate and SMB. Output from RCM simulations for the recent past with the four RCMs … Show more

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Cited by 129 publications
(181 citation statements)
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References 45 publications
(66 reference statements)
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“…This choice was based on the ability of this model to simulate the Greenland climate compared with observations (e.g. Fettweis and others, 2011;Franco and others, 2012;Rae and others, 2012). However, other climates could be used as reference climatology, such as reanalysis or other regional climate models outputs, for example RACMO (Ettema and others, 2009).…”
Section: Reference Climatologymentioning
confidence: 99%
“…This choice was based on the ability of this model to simulate the Greenland climate compared with observations (e.g. Fettweis and others, 2011;Franco and others, 2012;Rae and others, 2012). However, other climates could be used as reference climatology, such as reanalysis or other regional climate models outputs, for example RACMO (Ettema and others, 2009).…”
Section: Reference Climatologymentioning
confidence: 99%
“…In both cases, we use simulations supplied by the RCM Modèle Atmosphérique Régional (MAR) (16). Each simulation was driven by atmospheric boundary conditions applied to the periphery of the model domain: For the development of the parameterization, the MAR was driven by the interim reanalysis of the European Centre for Medium-Range Weather Forecasts (ERA-Interim) data (20) (17) and Rae et al (18). A few additional experiments were also performed using the same experimental design but with ECHAM5 run for the E1 scenario (strong mitigation) and the Hadley Centre climate model (HadCM3) run for A1B.…”
Section: Climate Forcingmentioning
confidence: 99%
“…The first stage is an assessment of future changes in meltwater runoff (i.e., the flux of meltwater generated by surface ablation that does not refreeze locally within the snowpack) from the ice sheet. For this we use future projections from a Regional Climate Model (RCM) run over the GrIS at a resolution of 25 km (16)(17)(18). The second stage is to develop an assessment of the effect of this runoff on the sliding experienced by the ice sheet.…”
mentioning
confidence: 99%
“…The release of high-quality and consistent historical weather reanalysis data has made possible the modelling of the processes controlling SMB over the whole ice sheet. Temporal differences between these SMB estimations have been identified (Dahl-Jensen et al, 2009;Rae et al, 2012) yet remain to be explained. Here we consider four such reconstructions of GrIS SMB carried out using a common forcing: re-analysis data from ECMWF.…”
Section: Introductionmentioning
confidence: 99%