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Implementation of a simple thermodynamic sea ice scheme, SICE version 1.0-38h1, within the ALADIN–HIRLAM numerical weather prediction system version 38h1

机译:实施简单的热力学海冰方案,SICE版1.0-38H1,在Aladin-Hirlam数值天气预报系统版本38H1中

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Sea ice is an important factor affecting weather regimes, especially in polar regions. A lack of its representation in numerical weather prediction (NWP) systems leads to large errors. For example, in the HARMONIE–AROME model configuration of the ALADIN–HIRLAM NWP system, the mean absolute error in 2m temperature reaches 1.5°C after 15 forecast hours for Svalbard. A possible reason for this is that the sea ice properties are not reproduced correctly (there is no prognostic sea ice temperature in the model). Here, we develop a new simple sea ice scheme (SICE) and implement it in the ALADIN–HIRLAM NWP system in order to improve the forecast quality in areas influenced by sea ice. The new parameterization is evaluated using HARMONIE–AROME experiments covering the Svalbard and Gulf of Bothnia areas for a selected period in March–April 2013. It is found that using the SICE scheme improves the forecast, decreasing the value of the 2m temperature mean absolute error on average by 0.5°C in areas that are influenced by sea ice. The new scheme is sensitive to the representation of the form drag. The 10m wind speed bias increases on average by 0.4m?s?1 when the form drag is not taken into account. Also, the performance of SICE in March–April?2013 and December?2015–December?2016 was studied by comparing modelling results with the sea ice surface temperature products from MODIS and VIIRS. The warm bias (of approximately 5°C) of the new scheme is indicated for areas of thick ice in the Arctic. Impacts of the SICE scheme on the modelling results and possibilities for future improvement of sea ice representation in the ALADIN–HIRLAM NWP system are discussed.
机译:海冰是影响天气制度的重要因素,特别是在极地地区。在数值天气预报(NWP)系统中缺乏其代表性导致大错误。例如,在Aladin-Hirlam NWP系统的谐波 - Arome模型配置中,2M温度中的平均绝对误差达到1.5°C,赛车15个预测小时后达到1.5°C。这样做的可能原因是海冰性质没有正确再现(模型中没有预后的海冰温度)。在这里,我们开发了一种新的简单海冰方案(大鼠),并在阿拉丁 - 霍尔姆NWP系统中实施它,以改善受海冰影响的地区的预测质量。通过覆盖3月至2013年3月的选定期间的斯瓦尔巴德和海湾地区的Harmon-Arome实验来评估新的参数化。发现使用大鼠计划改善预测,降低2M温度的值意味着绝对误差平均在海冰受影响的区域中平均0.5°C。新方案对表单拖动的表示敏感。 10M风速偏置平均增加0.4M?S?1当没有考虑表单拖动时的Δ1。此外,2013年3月和12月的SICE的表现是2015年12月?2016年的2016年通过从MODIS和VIIR的海冰面温度产品进行比较。对于北极地区的厚冰的区域表示新方案的温暖偏差(约5°C)。讨论了大女项计划对霍尔拉姆国家NWP系统中未来改善海洋冰表现的建模结果和可能性的影响。

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