An evaluation of Antarctic sea-ice thickness from the Global Ice-Ocean Modeling and Assimilation System based on in situ and satellite observations
An evaluation of Antarctic sea-ice thickness from the Global Ice-Ocean Modeling and Assimilation System based on in situ and satellite observations
复制标题
DOI：
10.5194/tc-16-1807-2022
复制
发表时间：
2022-05
期刊：
影响因子：
--
通讯作者：
Sutao Liao;Hao Luo;Jinfei Wang;Q. Shi;Jinlun Zhang;Qinghua Yang
中科院分区：
文献类型：
--
作者：
Sutao Liao;Hao Luo;Jinfei Wang;Q. Shi;Jinlun Zhang;Qinghua Yang
抽象的。南极海冰是地球系统的重要组成部分。然而，由于南极海冰厚度（SIT）数据有限，其在地球系统中的作用仍不清楚。可靠的海冰再分析有助于研究南极 SIT 及其在地球系统中的作用。在各种南极海冰再分析产品中，全球冰海模拟与同化系统（GIOMAS）的输出被广泛应用于南极海冰的研究。随着更多具有质量控制的南极 SIT 观测数据的发布，本研究基于实地观测和卫星观测对 GIOMAS 的南极 SIT 进行了进一步评估。一般来说，虽然仅同化海冰浓度，但GIOMAS基本可以再现观测到的2013年前后海冰体积的变化及其趋势变化，这表明GIOMAS是研究南极海冰长期变化的良好选择。然而，由于模型的缺陷以及同化引起的SIT变化不对称，GIOMAS低估了南极SIT，尤其是变形冰区的SIT，这不仅影响了SIT的平均状态，而且影响了其变异性。因此，除了模型的进一步发展外，利用先进的同化方法同化额外的海冰观测数据（例如SIT和海冰漂移）可能有利于更准确地估计南极SIT。
Abstract. Antarctic sea ice is an important component of the Earth system. However, its role in the Earth system is still unclear due to limited Antarctic sea-ice thickness (SIT) data. A reliable sea-ice reanalysis can be useful to study Antarctic SIT and its role in the Earth system. Among various Antarctic sea-ice reanalysis products, the Global Ice-Ocean Modeling and Assimilation System (GIOMAS) output is widely used in the research of Antarctic sea ice. As more Antarctic SIT observations with quality control are being released, a further evaluation of Antarctic SIT from GIOMAS is conducted in this study based on in situ and satellite observations. Generally, though only sea-ice concentration is assimilated, GIOMAS can basically reproduce the observed variability in sea-ice volume and its changes in the trend before and after 2013, indicating that GIOMAS is a good option to study the long-term variation in Antarctic sea ice. However, due to deficiencies in the model and asymmetric changes in SIT caused by assimilation, GIOMAS underestimates Antarctic SIT especially in deformed ice regions, which has an impact on not only the mean state of SIT but also the variability. Thus, besides the further development of the model, assimilating additional sea-ice observations (e.g., SIT and sea-ice drift) with advanced assimilation methods may be conducive to a more accurate estimation of Antarctic SIT.