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Journal ArticleDOI

Future surface mass balance of the Antarctic ice sheet and its influence on sea level change, simulated by a regional atmospheric climate model

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TLDR
In this article, a regional atmospheric climate model with multi-layer snow module (RACMO2) is forced at the lateral boundaries by global climate model (GCM) data to assess the future climate and surface mass balance (SMB) of the Antarctic ice sheet (AIS).
Abstract
A regional atmospheric climate model with multi-layer snow module (RACMO2) is forced at the lateral boundaries by global climate model (GCM) data to assess the future climate and surface mass balance (SMB) of the Antarctic ice sheet (AIS). Two different GCMs (ECHAM5 until 2100 and HadCM3 until 2200) and two different emission scenarios (A1B and E1) are used as forcing to capture a realistic range in future climate states. Simulated ice sheet averaged 2 m air temperature (T2m) increases (1.8–3.0 K in 2100 and 2.4–5.3 K in 2200), simultaneously and with the same magnitude as GCM simulated T2m. The SMB and its components increase in magnitude, as they are directly influenced by the temperature increase. Changes in atmospheric circulation around Antarctica play a minor role in future SMB changes. During the next two centuries, the projected increase in liquid water flux from rainfall and snowmelt, together 60–200 Gt year−1, will mostly refreeze in the snow pack, so runoff remains small (10–40 Gt year−1). Sublimation increases by 25–50 %, but remains an order of magnitude smaller than snowfall. The increase in snowfall mainly determines future changes in SMB on the AIS: 6–16 % in 2100 and 8–25 % in 2200. Without any ice dynamical response, this would result in an eustatic sea level drop of 20–43 mm in 2100 and 73–163 mm in 2200, compared to the twentieth century. Averaged over the AIS, a strong relation between \(\Updelta\)SMB and \(\Updelta\hbox{T}_{2{\rm m}}\) of 98 ± 5 Gt w.e. year−1 K−1 is found.

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Potential Antarctic Ice Sheet retreat driven by hydrofracturing and ice cliff failure

TL;DR: In this paper, the authors used a continental ice sheet model to show that mechanisms based on recent observations and analysis have the potential to resolve this model-data conflict, and incorporated these mechanisms in their ice-sheet model accelerates the expected collapse of the West Antarctic Ice Sheet to decadal time scales, and also causes retreat into major East Antarctic subglacial basins, producing ∼17 m global sea-level rise within a few thousand years.
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Projecting twenty-first century regional sea-level changes

TL;DR: In this article, the authors present regional projections of sea-level change resulting from changing ocean circulation, increased heat uptake and atmospheric pressure in CMIP5 climate models, combined with model and observation-based regional contributions of land ice, groundwater depletion and glacial isostatic adjustment, including gravitational effects due to mass redistribution.
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Climate change drives expansion of Antarctic ice-free habitat

TL;DR: This work quantifies the impact of twenty-first century climate change on ice-free areas under two Intergovernmental Panel on Climate Change climate forcing scenarios using temperature-index melt modelling and hypothesizes that they could eventually lead to increasing regional-scale biotic homogenization, the extinction of less-competitive species and the spread of invasive species.
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Future sea level rise constrained by observations and long-term commitment

TL;DR: An approach that combines information about the equilibrium sea level response to global warming and last century's observed contribution from the individual components to constrain projections for this century is presented, which may lead to a better understanding of the gap between process-based and global semiempirical approaches.
References
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Posted ContentDOI

A model comparison study for the Antarctic region: present and past

TL;DR: In this paper, the authors evaluated the performance of the coupled climate models of the PMIP2 database with respect to their performance in the Antarctic region and found that the overall aim of identifying the best performing model is not clearly supported by applied analysis.
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