Interconnections between combined Length-of-Day and polar motion parameters concerning joint atmosphere-ocean-hydrosphere modes

关于大气-海洋-水圈联合模式的组合日长和极动参数之间的相互关系

• 批准号: 5456312
• 负责人: Professor Dr. Maik Thomas
• 金额: --
• 依托单位: Institut für Meteorologie
• 依托单位国家: 德国
• 项目类别: Research Units
• 财政年份: 2006
• 资助国家: 德国
• 起止时间: 2005-12-31 至 2013-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/5456312?language=en
• 关键词: Interconnections; between; combined; Length; Day

The project investigates the interrelation of climate variability/climate change and the variations in the Earth Rotation Parameters (ERPs) on interannual to decadal time scales. The extent is determined to which ERPs can be used as a climate indicator which is independent of measurements in the atmosphere and the ocean. Two approaches are combined to achieve this goal: On the one hand, the impact of dynamical processes in the atmosphere-ocean system on ERPs is analysed, taking into account the interdependence of the variability patterns in the two sub-systems. On the other hand, the ERP variations are projected on specific variations in the ocean-atmosphere system. Different patterns (like ENSO, NAO), their interrelation and underlying processes in atmosphere and ocean are investigated. While atmospheric contributions can be estimated from atmospheric reanalysis products the impact of the ocean cannot be deduced from three-dimensional observations. Thus, numerical global ocean models forced by atmospheric data are used. Coupled atmosphere-ocean models are employed for estimating the contribution of long term variations in the climate system to variations of the ERPs.

该项目研究气候变率/气候变化与地球自转参数在年际至十年时间尺度上变化的相互关系。在多大程度上确定ERPs可以用作独立于大气和海洋测量的气候指标。两种方法相结合，以实现这一目标：一方面，在大气-海洋系统的动力过程的影响进行了分析，考虑到在两个子系统的变异模式的相互依赖性。另一方面，ERP的变化被预测在海洋-大气系统的特定变化。研究了ENSO、NAO等不同的模态、它们之间的相互关系以及大气和海洋中的基本过程。虽然可以从大气再分析产品中估计大气的贡献，但无法从三维观测中推断海洋的影响。因此，数值全球海洋模式强迫大气数据的使用。耦合的大气-海洋模式被用来估计气候系统的长期变化对ERPs变化的贡献。

项目成果

Uncertainties in relative atmospheric angular momentum computed from zonal winds in reanalysis data

再分析数据中由纬向风计算出的相对大气角动量的不确定性

• DOI: 10.1029/2011jd016658
• 期刊: Journal of Geophysical Research
• 作者: Lehmann;Névir
• 通讯作者: Névir