Reference : Greenland ice sheet surface mass balance projections from IPCC AR4 global models
Scientific congresses and symposiums : Poster
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
http://hdl.handle.net/2268/89939
Greenland ice sheet surface mass balance projections from IPCC AR4 global models
English
Franco, Bruno mailto [Université de Liège - ULg > Département de géographie > Topoclimatologie >]
Fettweis, Xavier mailto [Université de Liège - ULg > Département de géographie > Topoclimatologie >]
Erpicum, Michel mailto [Université de Liège - ULg > Département de géographie > Topoclimatologie >]
28-Jan-2009
Yes
No
National
Meteoclim PhD Symposium
28 janvier 2009
UCL
Louvain-la-Neuve
Belgium
[en] Greenland ice sheet ; IPCC AR4 global models ; SRES projections
[en] Results from atmosphere-ocean general circulation models (AOGCM's) for the IPCC 4th Assessment Report are used to investigate surface mass balance (SMB) future projections of the Greenland ice sheet (GrIS). The most efficient models for the GrIS climate modeling are chosen by comparison between the 1970-1999 outputs (averages and trends) from the Climate of the twentieth Century Experiment (20C3M) and reanalyses (ECMWF, NCEP) as well as observations (ice core measurements). The outputs from these most efficient models are after used to assess changes planned by the IPCC greenhouse gas emissions scenarios (SRES) for the 2070-2099 period. The GrIS SMB projections are estimated from changes in precipitation and temperatures from these AOGCM's outputs. However, large uncertainties remain in these SMB projections based on simplified physics and huge model outputs. High resolution simulations made with regional models (which simulate explicitly the SMB by taking into account the surface feedbacks) forced at their boundaries by a GrIS well-adapted AOGCM could bring more precise brief replies.
Laboratoire de Climatologie et Topoclimatologie
Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS
Researchers
http://hdl.handle.net/2268/89939

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