globalchange  > 气候变化事实与影响
DOI: 10.1175/JCLI-D-15-0642.1
Scopus记录号: 2-s2.0-84977577130
论文题名:
A comparison of Antarctic ice sheet surface mass balance from atmospheric climate models and in situ observations
作者: Wang Y.; Ding M.; van Wessem J.M.; Schlosser E.; Altnau S.; van den Broeke M.R.; Lenaerts J.T.M.; Thomas E.R.; Isaksson E.; Wang J.; Sun W.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2016
卷: 29, 期:14
起始页码: 5317
结束页码: 5337
语种: 英语
Scopus关键词: Glacial geology ; Glaciers ; Snow ; Antarctica ; Geographic location ; Interannual variability ; Model comparison ; Model evaluation/performance ; Model inter comparisons ; Satellite observations ; Surface mass balance ; Climate models ; atmospheric modeling ; climate modeling ; comparative study ; ice sheet ; mass balance ; precipitation assessment ; seasonality ; snow accumulation ; spatial variation ; Antarctica
英文摘要: In this study, 3265 multiyear averaged in situ observations and 29 observational records at annual time scale are used to examine the performance of recent reanalysis and regional atmospheric climate model products [ERA-Interim, JRA-55, MERRA, the Polar version of MM5 (PMM5), RACMO2.1, and RACMO2.3] for their spatial and interannual variability of Antarctic surface mass balance (SMB), respectively. Simulated precipitation seasonality is also evaluated using three in situ observations and model intercomparison. All products qualitatively capture the macroscale spatial variability of observed SMB, but it is not possible to rank their relative performance because of the sparse observations at coastal regions with an elevation range from 200 to 1000 m. In terms of the absolute amount of observed snow accumulation in interior Antarctica, RACMO2.3 fits best, while the other models either underestimate (JRA-55, MERRA, ERA-Interim, and RACMO2.1) or overestimate (PMM5) the accumulation. Despite underestimated precipitation by the three reanalyses and RACMO2.1, this feature is clearly improved in JRA-55. However, because of changes in the observing system, especially the dramatically increased satellite observations for data assimilation, JRA-55 presents a marked jump in snow accumulation around 1979 and a large increase after the late 1990s. Although precipitation seasonality over the whole ice sheet is common for all products, ERA-Interim provides an unrealistic estimate of precipitation seasonality on the East Antarctic plateau, with high precipitation strongly peaking in summer. ERA-Interim shows a significant correlation with interannual variability of observed snow accumulation measurements at 28 of 29 locations, whereas fewer than 20 site observations significantly correlate with simulations by the other models. This suggests that ERA-Interim exhibits the highest performance of interannual variability in the observed precipitation. © 2016 American Meteorological Society.
资助项目: SOA, State Oceanic Administration ; NSFC, Natural Science Foundation of China ; NWO, Nederlandse Organisatie voor Wetenschappelijk Onderzoek
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/50232
Appears in Collections:气候变化事实与影响

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作者单位: College of Geography and Environment, Shandong Normal University, Jinan, China; Institute of Climate System, Chinese Academy of Meteorological Sciences, Beijing, China; Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, Netherlands; Institute of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innsbruck, Austria; Austrian Polar Research Institute, Vienna, Austria; German Weather Service, Offenbach, Germany; British Antarctic Survey, Cambridge, United Kingdom; Norwegian Polar Institute, Fram Centre, Tromsø, Norway; Department of Pathology, Yale UniversityNH, United States

Recommended Citation:
Wang Y.,Ding M.,van Wessem J.M.,et al. A comparison of Antarctic ice sheet surface mass balance from atmospheric climate models and in situ observations[J]. Journal of Climate,2016-01-01,29(14)
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