Abstract
The European Centre for Medium-Range Weather Forecasts Reanalysis ERA40, National Centers for Environmental Prediction (NCEP) 20th-century reanalysis, and three station observations along an Antarctic traverse from Zhongshan to Dome-A stations are used to assess 2-m temperature simulation skill of a regional climate model. This model (HIRHAM) is from the Alfred Wegener Institute for Polar and Marine Research in Germany. Results show: (1) The simulated multiyear averaged 2-m temperature field pattern is close to that of ERA40 and NCEP; (2) the cold bias relative to ERA40 over all of Antarctic regions is 1.8°C, and that to NCEP reaches 5.1°C; (3) bias of HIRHAM relative to ERA40 has seasonal variation, with a cold bias mainly in the summer, as much as 3.4°C. There is a small inland warm bias in autumn of 0.3°C. Further analysis reveals that the reason for the cold bias of 2-m temperature is that physical conditions of the near-surface boundary layer simulated by HIRHAM are different from observations: (1) During the summer, observations show that near-surface atmospheric stability conditions have both inversions and non-inversions, which is due to the existence of both positive and negative sensible heat fluxes, but HIRHAM almost always simulates a situation of inversion and negative sensible heat flux; (2) during autumn and winter, observed near-surface stability is almost always that of inversions, consistent with HIRHAM simulations. This partially explains the small bias during autumn and winter.
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References
Allison I, Morrissy J V. 1983. Automatic weather stations in the Antarctic. Aust Meteor Mag, 31: 71–76
Bailey D A, Lynch A H. 2000a. Development of an Antarctic regional climate system model. Part I: Sea ice and large-scale circulation. J Clim, 13: 1337–1350
Bailey D A, Lynch A H. 2000b. Development of an Antarctic regional climate system model. Part II: Station validation and surface energy balance. J Clim, 13: 1351–1361
Bromwich D H, Monaghan A J, Manning K W, et al. 2005. Real-time forecasting for the Antarctic: An evaluation of the Antarctic Mesoscale Predition System (AMIPS). Mon Weather Rev, 133: 579–603
Chen B L, Zhang R H, Sun S F, et al. 2010a. A one-dimensional heat transfer model on Antarctic Ice Sheet and modeling of near-surface temperatures at Dome A, the summit of Antarctic Plateau. Sci China Earth Sci, 53: 763–772
Chen B L, Zhang R H, Xiao C D, et al. 2010b. Analysis on the air and snow temperatures near ground with observations of an AWS at Dome A, the summit of Antarctic Plateau. Chin Sci Bull, 55: 1430–1436
Christensen J H, Hewitson B, Busuioc A, et al. 2007. Regional climate projections. In: Solomon S, Qin D, Manning M, et al., eds. Climate Change 2007: The Physical Science Basis. Cambridge: Cambridge University Press. 847–940
Christensen J H, Christensen O B, Lopez P. 2006. The HIRHAM4 Regional Atmospheric Climate Model. Technical Report. DMI Sci Rep, 96-4, Dan Meteorol Inst, Copenhagen, Denmark
Connolley W M, Cattle H. 1994. The Antarctic climate of the UNKO unified model. Antarct Sci, 6: 115–122
Fouquart Y, Bonnel B. 1980. Computation of solar heating of the Earth’s atmosphere: A new parameterization. Beitr Phys Atmos, 53: 35–62
Fraedrich K, Leslie L. 1991. Predictability studies of the Antarctic atmosphere. Aust Meteor Mag, 39: 1–9
Gao X J, Xu Y, Zhao Z C, et al. 2006. On the role of resolution and topography in the simulation of East Asia precipitation. Theor Appl Climatol, 86: 173–184
Gao X J, Shi Y, Giorgi F. 2011. A high resolution simulation of climate change over China. Sci China Earth Sci, 53: 462–472
Giorgi F, Mearns L O. 1991. Approaches to regional climate change simulations: a review. Rev Geophys, 29: 191–216
Glushak K. 2008. Atmospheric circulation and the surface mass balance in a regional climate model of Antarctic. Doctoral Dissertation, Germany: University of Potsdam. 143
Grachev A A, Andreas E L, Fairall C W, et al. 2007. SHEBA flux-profile relationships in the stable atmospheric boundary layer. Bound-Layer Meteor, 124: 315–333
Holtslag A A M, Bruin H A R. 1988. Applied modeling of the nighttime surface energy balance over land. J Appl Meteorol, 27: 689–704
Louis J F. 1979. A parameteric model of vertical eddy fluxes in the atmosphere. Bound-Layer Meteor, 17: 187–202
Ma Y F. 2009. Characteristic parameters of near surface layer of the traverse route from Zhongshan Station to Dome-A, East Antarctica (in Chinese). Master Thesis. Beijing: Chinese Academy of Meteorological Sciences
Meehl G A, Stocker T F, Collins W D, et al. 2007. Global climate projections. In: Solomon S, Qin D, Manning M, et al., eds. Climate Change 2007: The Physical Science Basis. Cambridge: Cambridge University Press. 747–846
Powers J G, Monaghan A J, Cayette A M, et al. 2003. Real-time mesoscale modeling over Antarctica: The Antarctic Mesoscale Prediction System (AMPS). Bull Amer Meteor Soc, 84: 1533–1544
Qu X, Hall A. 2005. Surface contribution to planetary albedo variability in cryosphere regions. J Clim, 18: 5239–5252
Reijmer C H, E van Meijgaard, van den Broeke M R. 2005. Evaluation of temperature and wind over Antarctica in a Regional Atmospheric Climate Model using 1 year of automatic weather station data and upper air observations. J Geophys Res, 110: D04103, doi: 10.1029/2004JD005234
Roeckner E, Bäuml G, Bonaventura L, et al. 2003. The Atmospheric General Circulation Model ECHAM5. Part 1. Model description. Technical Report. Report No.349, Max-Planck-Institut für Meteorologie (MPI-M)
Tiedtke M. 1989. A comprehensive mass flux scheme for cumulus parameterization in large-scale models. Mon Wea Rev, 117: 1779–1800
Undén P, Rontu L, Järvinen H, et al. 2002. HIRLAM-5 Scientific Documentation. Technical Report. European Meteorological Institutes
Wild M, Calanca P, Scherrer S C, et al. 2003. Effects of polar ice sheets on global sea level in high-resolution greenhouse scenarios. J Geophys Res, 108: 1–10
Xin Y, Rinke A, Bian L, et al. 2010. Climate and forecast mode simulations for Antarctica: Implications for temperature and wind. Adv Atmos Sci, 27: 1453–1472
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Xin, Y., Bian, L., Rinke, A. et al. Simulation and evaluation of 2-m temperature over Antarctica in polar regional climate model. Sci. China Earth Sci. 57, 703–709 (2014). https://doi.org/10.1007/s11430-013-4709-z
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DOI: https://doi.org/10.1007/s11430-013-4709-z