Impact of observation-based snow albedo parameterization on global ocean simulation results

Impact of observation-based snow albedo parameterization on global ocean simulation results
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基于观测的雪反照率参数化对全球海洋模拟结果的影响

DOI:
10.1016/j.polar.2020.100521
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发表时间:
2020
期刊:
影响因子:
1.8
通讯作者:
and G. Yamanaka
and G. Yamanaka
中科院分区:
地球科学4区
文献类型:
--
作者:
Toyoda;T.;T. Aoki;M. Niwano;T. Tanikawa;L. S. Urakawa;H. Tsujino;H. Nakano;K. Sakamoto;N. Hirose;and G. Yamanaka

文献摘要

相似文献

反照率参数化对于高纬度气候变率的模拟研究具有重要意义。实地观测表明,当地面气温超过−2 °C时,近红外雪反射率急剧下降。这可能会影响海冰模拟的再现,考虑到海冰范围的季节性变化的重要性,在融化季节早期的急剧变化的海冰。因此,我们进行了全球海洋数据同化模拟实验,使用修改后的雪雪的参数化。修改后的参数化直接减少了冰,并通过模拟雪和海冰分布(冰冰反馈)的变化实现了相当的间接减少。因此,北冰洋中部大部分地区的海冰厚度减少了0.4-1厘米。海冰速度也减少了增强海洋阻力与减弱表面海洋环流在博福特环流。在南大洋,修改后的参数化使威德尔海的积雪厚度减少了2厘米。这些影响,这是一般大于传播的合奏实验结果,因此强大的,至少在我们的模型中,提供了有用的信息,量化的结果,在气候模拟研究中的修正。
Albedo parameterization is of fundamental importance for accurate representation of high-latitude climate variability by modeling studies. Field observations show that near-infrared snow albedo decreases dramatically when surface air temperature exceeds −2 °C. This can influence reproduction of sea ice simulations taking into consideration the importance of the drastic change in albedo in early melt season for the seasonal change of sea ice extent. Therefore, we conducted global ocean data-assimilative simulation experiments using a modified snow albedo parameterization. The modified parameterization reduced the albedo directly and achieved a comparable indirect reduction via changes in the modeled snow and sea ice distributions (ice–albedo feedback). As a result, sea ice thickness was reduced by more than 0.4–1 cm over most of the central Arctic Ocean. Sea ice velocities were also reduced by enhanced ocean drag with weakened surface ocean circulation in the Beaufort Gyre. In the Southern Ocean, the modified parameterization caused snow thicknesses to be decreased by up to 2 cm in the Weddell Sea. These impacts, which were generally larger than the spread of ensemble experiment results and therefore robust, at least in our model, provide useful information for quantifying the results of albedo modification in climate modeling studies.