气候变化领域集成服务门户(CCPortal): Modelling the climate and surface mass balance of polar ice sheets using RACMO2

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DOI	10.5194/tc-12-1479-2018
	Modelling the climate and surface mass balance of polar ice sheets using RACMO2 - Part 2: Antarctica (1979-2016)
	Melchior Van Wessem J.; Jan Van De Berg W.; Noël B.P.Y.; Van Meijgaard E.; Amory C.; Birnbaum G.; Jakobs C.L.; Krüger K.; Lenaerts J.T.M.; Lhermitte S.; Ligtenberg S.R.M.; Medley B.; Reijmer C.H.; Van Tricht K.; Trusel L.D.; Van Ulft L.H.; Wouters B.; Wuite J.; Van Den Broeke M.R.
发表日期	2018
ISSN	19940416
卷号	12 期号:4
英文摘要	We evaluate modelled Antarctic ice sheet (AIS) near-surface climate, surface mass balance (SMB) and surface energy balance (SEB) from the updated polar version of the regional atmospheric climate model, RACMO2 (1979-2016). The updated model, referred to as RACMO2.3p2, incorporates upper-air relaxation, a revised topography, tuned parameters in the cloud scheme to generate more precipitation towards the AIS interior and modified snow properties reducing drifting snow sublimation and increasing surface snowmelt. Comparisons of RACMO2 model output with several independent observational data show that the existing biases in AIS temperature, radiative fluxes and SMB components are further reduced with respect to the previous model version. The model-integrated annual average SMB for the ice sheet including ice shelves (minus the Antarctic Peninsula, AP) now amounts to 2229ĝ€Gtĝ€yĝ'1, with an interannual variability of 109ĝ€Gtĝ€yĝ'1. The largest improvement is found in modelled surface snowmelt, which now compares well with satellite and weather station observations. For the high-resolution ( ĝ1/4 ĝ€5.5ĝ€km) AP simulation, results remain comparable to earlier studies. The updated model provides a new, high-resolution data set of the contemporary near-surface climate and SMB of the AIS; this model version will be used for future climate scenario projections in a forthcoming study. © Author(s) 2018.
学科领域	annual variation; climate modeling; data set; energy balance; ice sheet; mass balance; satellite data; simulation; snowmelt; topography; weather station; Antarctica
语种	英语
scopus关键词	annual variation; climate modeling; data set; energy balance; ice sheet; mass balance; satellite data; simulation; snowmelt; topography; weather station; Antarctica
来源期刊	Cryosphere
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/119171
作者单位	Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, Netherlands; Royal Netherlands Meteorological Institute, De Bilt, Netherlands; Department of Geography, University of Liege, Liege, Belgium; Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany; Department of Atmospheric and Oceanic Sciences, University of Colorado, Boulder, CO, United States; Department of Geoscience and Remote Sensing, Delft University of Technology, Delft, Netherlands; Cryospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, United States; KU Leuven, Department of Earth and Environmental Sciences, Leuven, Belgium; Department of Geology, Rowan University, Glassboro, NJ, United States; ENVEO IT GmbH, Innsbruck, Austria
推荐引用方式 GB/T 7714	Melchior Van Wessem J.,Jan Van De Berg W.,Noël B.P.Y.,et al. Modelling the climate and surface mass balance of polar ice sheets using RACMO2 - Part 2: Antarctica (1979-2016)[J],2018,12(4).
APA	Melchior Van Wessem J..,Jan Van De Berg W..,Noël B.P.Y..,Van Meijgaard E..,Amory C..,...&Van Den Broeke M.R..(2018).Modelling the climate and surface mass balance of polar ice sheets using RACMO2 - Part 2: Antarctica (1979-2016).Cryosphere,12(4).
MLA	Melchior Van Wessem J.,et al."Modelling the climate and surface mass balance of polar ice sheets using RACMO2 - Part 2: Antarctica (1979-2016)".Cryosphere 12.4(2018).