Implementation of a one-dimensional enthalpy sea-ice model in a simple pycnocline prediction model for sea-ice data assimilation studies

被引：0
作者：
Xinrong Wu
Shaoqing Zhang
Zhengyu Liu
机构：
[1] State Oceanic Administration,Key Laboratory of Marine Environmental Information Technology
[2] National Marine Data and Information Service,Geophysical Fluid Dynamics Laboratory
[3] National Oceanic and Atmospheric Administration,Center for Climate Research and Dept. Atmospheric and Oceanic Sciences
[4] Princeton University,Laboratory of Ocean–Atmosphere Studies
[5] University of Wisconsin-Madison,undefined
[6] Peking University,undefined
来源：
Advances in Atmospheric Sciences | 2016年 / 33卷
关键词：
sea ice; enthalpy; coupled model; data assimilation; ensemble Kalman filter;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
To further explore enthalpy-based sea-ice assimilation, a one-dimensional (1D) enthalpy sea-ice model is implemented into a simple pycnocline prediction model. The 1D enthalpy sea-ice model includes the physical processes such as brine expulsion, flushing, and salt diffusion. After being coupled with the atmosphere and ocean components, the enthalpy sea-ice model can be integrated stably and serves as an important modulator of model variability. Results from a twin experiment show that the sea-ice data assimilation in the enthalpy space can produce smaller root-mean-square errors of model variables than the traditional scheme that assimilates the observations of ice concentration, especially for slow-varying states. This study provides some insights into the improvement of sea-ice data assimilation in a coupled general circulation model.
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页码：193 / 207
页数：14
相关论文
共 51 条
  • [1] Anderson J. L.(2001)An ensemble adjustment Kalman filter for data assimilation Mon. Wea. Rev. 129 2884-2903
  • [2] Anderson J. L.(2003)A local least squares framework for ensemble filtering Mon. Wea. Rev. 131 634-642
  • [3] Asselin R.(1972)Frequency filter for time integrations Mon. Wea. Rev. 100 487-490
  • [4] Budyko M. I.(1969)The effect of solar radiation variations on the climate of the Earth Tellus 21 611-619
  • [5] Eicken H.(2002)Tracer studies of pathways and rates of meltwater transport through Arctic summer sea ice J. Geophys. Res. 107 22-20
  • [6] Krouse H. R.(2004)Hydraulic controls of summer Arctic pack ice albedo J. Geophys. Res. 109 C08007-10162
  • [7] Kadko D.(1994)Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics J. Geophys. Res. 99 10143-77
  • [8] Perovich D. K.(1990)On a simple sea-ice dynamics model for climate studies Annals of Glaciology 14 72-2079
  • [9] Eicken H.(1999)A simple predictive model for the structure of the oceanic pycnocline Science 283 2077-749
  • [10] Grenfell T. C.(2006)Assimilation of ice concentration in an ice-ocean model J. Atmos. Oceanic Technol. 23 742-388
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