共 46 条
An Evaluation of Surface Climatology in State-of-the-Art Reanalyses over the Antarctic Ice Sheet
被引:106
作者:

Gossart, A.
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Katholieke Univ Leuven, Dept Earth & Environm Sci, Leuven, Belgium Katholieke Univ Leuven, Dept Earth & Environm Sci, Leuven, Belgium

Helsen, S.
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Katholieke Univ Leuven, Dept Earth & Environm Sci, Leuven, Belgium Katholieke Univ Leuven, Dept Earth & Environm Sci, Leuven, Belgium

Lenaerts, J. T. M.
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h-index: 0
机构:
Univ Colorado, Dept Atmospher & Ocean Sci, Boulder, CO 80309 USA Katholieke Univ Leuven, Dept Earth & Environm Sci, Leuven, Belgium

Vanden Broucke, S.
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Katholieke Univ Leuven, Dept Earth & Environm Sci, Leuven, Belgium Katholieke Univ Leuven, Dept Earth & Environm Sci, Leuven, Belgium

van Lipzig, N. P. M.
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h-index: 0
机构:
Katholieke Univ Leuven, Dept Earth & Environm Sci, Leuven, Belgium Katholieke Univ Leuven, Dept Earth & Environm Sci, Leuven, Belgium

Souverijns, N.
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h-index: 0
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Katholieke Univ Leuven, Dept Earth & Environm Sci, Leuven, Belgium Katholieke Univ Leuven, Dept Earth & Environm Sci, Leuven, Belgium
机构:
[1] Katholieke Univ Leuven, Dept Earth & Environm Sci, Leuven, Belgium
[2] Univ Colorado, Dept Atmospher & Ocean Sci, Boulder, CO 80309 USA
关键词:
Climate models;
Data assimilation;
Model comparison;
Model evaluation;
performance;
Reanalysis data;
Regional models;
BOUNDARY-LAYER SIMULATIONS;
DRONNING MAUD LAND;
WEST ANTARCTICA;
MASS-BALANCE;
SNOW ACCUMULATION;
MODEL;
SHELF;
TEMPERATURES;
VARIABILITY;
D O I:
10.1175/JCLI-D-19-0030.1
中图分类号:
P4 [大气科学(气象学)];
学科分类号:
0706 ;
070601 ;
摘要:
In this study, we evaluate output of near-surface atmospheric variables over the Antarctic Ice Sheet from four reanalyses: the new European Centre for Medium-Range Weather Forecasts ERA-5 and its predecessor ERA-Interim, the Climate Forecast System Reanalysis (CFSR), and the Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2). The near-surface temperature, wind speed, and relative humidity are compared with datasets of in situ observations, together with an assessment of the simulated surface mass balance (approximated by precipitation minus evaporation). No reanalysis clearly stands out as the best performing for all areas, seasons, and variables, and each of the reanalyses displays different biases. CFSR strongly overestimates the relative humidity during all seasons whereas ERA-5 and MERRA-2 (and, to a lesser extent, ERA-Interim) strongly underestimate relative humidity during winter. ERA-5 captures the seasonal cycle of near-surface temperature best and shows the smallest bias relative to the observations. The other reanalyses show a general temperature underestimation during the winter months in the Antarctic interior and overestimation in the coastal areas. All reanalyses underestimate the mean near-surface winds in the interior (except MERRA-2) and along the coast during the entire year. The winds at the Antarctic Peninsula are overestimated by all reanalyses except MERRA-2. All models are able to capture snowfall patterns related to atmospheric rivers, with varying accuracy. Accumulation is best represented by ERA-5, although it underestimates observed surface mass balance and there is some variability in the accumulation over the different elevation classes, for all reanalyses.
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页码:6899 / 6915
页数:17
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论文数: 0 引用数: 0
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Inst Meteorol, Lisbon, Portugal Univ Lisbon, CGUL, IDL, Fac Ciencias, P-1749016 Lisbon, Portugal

Miranda, Pedro M. A.
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机构: Univ Lisbon, CGUL, IDL, Fac Ciencias, P-1749016 Lisbon, Portugal

Beljaars, Anton
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European Ctr Medium Range Weather Forecasts, Reading RG2 9AX, Berks, England Univ Lisbon, CGUL, IDL, Fac Ciencias, P-1749016 Lisbon, Portugal

Schaer, Christoph
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ETH, Inst Atmospher & Climate Sci, Zurich, Switzerland Univ Lisbon, CGUL, IDL, Fac Ciencias, P-1749016 Lisbon, Portugal

Elder, Kelly
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US Forest Serv, Rocky Mt Res Stn, USDA, Ft Collins, CO USA Univ Lisbon, CGUL, IDL, Fac Ciencias, P-1749016 Lisbon, Portugal