摘要
通过与海冰和水文观测数据的对比,本研究对GLORYS2v4、ORAP5、C-GLORS和UR025.4四套全球海洋-海冰再分析资料在罗斯海和阿蒙森海进行了评估。评估要素包括气候态的海冰密集度、海冰厚度、表层温度、表层盐度、温盐垂直剖面以及混合层深度。结果表明,在不同要素的模拟上,同一套再分析资料的模拟表现并无一致性;在不同海域,同一套再分析资料模拟的表现也不一致。总体来讲,UR025.4在研究区域的海冰场模拟方面与观测更加一致,C-GLORS与观测差异较大。在水文模拟方面,表层C-GLORS在结冰季节与WOA13资料差异较小,ORAP5与观测的偏差较大;700 m以下各产品与观测水文数据较为吻合,在次表层再分析资料中没有模拟明显占优的产品,多模式平均资料能够在一定程度上减少再分析数据与观测数据间的差异。
Four high-resolution global ocean–sea ice reanalysis products were evaluated against observations in the Ross Sea and Amundsen Sea,Antarctica.The assessed quantities included climatological sea-ice concentration,sea-ice thickness,temperature,salinity,and mixed layer depth.The assessment revealed that the performance of the reanalysis products varied among variables and areas.Overall,the results from UR025.4(University of Reading)were more consistent with observed sea-ice concentration and thickness,whereas the results from C-GLORS(Global Ocean Reanalysis System)had the largest discrepancies from observations.In the surface layer,during ice-freezing seasons,temperature and salinity data from C-GLORS agreed better with the WOA13(World Ocean Atlas 2013)observations,whereas those from ORAP5(Ocean Re-Analysis Pilot 5)deviated most from observations.Temperature and salinity data from the four reanalyses were generally consistent with the WOA13 values in deep layers below 700 m.In the subsurface layers,none of the reanalyses stood out from among the four products in hydrography simulations;the multi-model(reanalyses)mean results can reduce the error if the four reanalyses depart from observations in different directions.
作者
黄佳
张召儒
王小乔
Huang Jia;Zhang Zhaoru;Wang Xiaoqiao(School of Oceanography,Shanghai Jiao Tong University,Shanghai 200030,China)
出处
《极地研究》
CAS
CSCD
北大核心
2020年第4期452-468,共17页
Chinese Journal of Polar Research
基金
国家自然科学基金面上项目(41876221)
自然科学基金专项项目(41941008)
上海市“科技创新行动计划”国际科技合作项目(20230711100)资助。
