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Climate and Forecast Mode Simulations for Antarctica: Implications for Temperature and Wind


doi: 10.1007/s00376-010-9178-0

  • Climate and forecast mode simulations with the regional climate model HIRlam-ECHAM(HIRHAM) are evaluated over a pan-Antarctic domain. The ability of the model to simulate temperature and wind profiles in the troposphere is quantified by comparing its results with radiosonde data acquired from the Davis station for January and July 2007. Compared to the climate mode, the forecast mode was found to deliver improved results for temperature and wind simulations at the near surface and in the lower troposphere. The main remaining model bias found was the under-representation of low-level wind jets. Based on ensemble simulations, it is shown that a distinct internal variability is inherent in the climate mode simulations, and associated areas of reduced predictability over Antarctica are identified.
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Manuscript History

Manuscript received: 10 November 2010
Manuscript revised: 10 November 2010
通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Climate and Forecast Mode Simulations for Antarctica: Implications for Temperature and Wind

  • 1. Chinese Academy of Meteorological Sciences, Beijing 100081,Alfred Wegener Institute for Polar and Marine Research, D-14473 Potsdam, Germany,Chinese Academy of Meteorological Sciences, Beijing 100081,Alfred Wegener Institute for Polar and Marine Research, D-14473 Potsdam, Germany,Chinese Academy of Meteorological Sciences, Beijing 100081,Alfred Wegener Institute for Polar and Marine Research, D-14473 Potsdam, Germany

Abstract: Climate and forecast mode simulations with the regional climate model HIRlam-ECHAM(HIRHAM) are evaluated over a pan-Antarctic domain. The ability of the model to simulate temperature and wind profiles in the troposphere is quantified by comparing its results with radiosonde data acquired from the Davis station for January and July 2007. Compared to the climate mode, the forecast mode was found to deliver improved results for temperature and wind simulations at the near surface and in the lower troposphere. The main remaining model bias found was the under-representation of low-level wind jets. Based on ensemble simulations, it is shown that a distinct internal variability is inherent in the climate mode simulations, and associated areas of reduced predictability over Antarctica are identified.

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