首页> 外文会议>International GOCE User Workshop >COMBINATION OF SPACEBORNE, AIRBORNE AND SURFACE GRAVITY IN SUPPORT OF ARCTIC OCEAN SEA-ICE AND MDT MAPPING
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COMBINATION OF SPACEBORNE, AIRBORNE AND SURFACE GRAVITY IN SUPPORT OF ARCTIC OCEAN SEA-ICE AND MDT MAPPING

机译:空间传播,空中和表面重力的组合,支持北冰洋海冰和MDT映射

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Improved knowledge of the gravity field in the Arctic is a key to the utilization of satellite altimetry to determine sea-ice thickness and mean dynamic topography (MDT). In the paper we outline the construction of a new gravity field of the Arctic Ocean region, combining new GRACE and ICESat observations with earlier compilations of airborne, surface, and submarine gravity data from the Arctic Gravity Project. We compare the corresponding geoid model to a mean sea surface (MSS) model derived from ICESat lowest-level filtered laser altimetry and retracked radar altimetry, to allow for a consistent estimate of the Arctic Ocean MDT. Results are compared to oceanographic models, and show an overall absolute consistency is achieved at the decimeter-level. Arctic Ocean sea ice freeboard heights (and thus ice thickness) are an integral part of these investigations, and ICESat-derived freeboard heights show a good correlation to multi-year ice distribution as determined from Quikscat. The investigations represent the core of the ongoing ESA project "ArcGICE". One of its major objectives is to provide a practical algorithm for the estimation of sea surface heights including the associated errors. These parameters can further be used for example as a reference for Cryosat-2 measurements of sea ice freeboard. The ArcGICE study includes detailed error estimates and covariance studies, and it is clear that the inclusion of GOCE data will significantly enhance ice thickness and MDT mapping from e.g. CryoSat-2.
机译:在北极重力场的改进的知识是对卫星测的利用率来确定海冰的厚度和平均动力地形(MDT)的一个关键。在本文中,我们概述了北冰洋地区的一个新的重力场的建设,与空气中,表面的早期汇编,并从北极重力项目潜艇的重力数据结合新的风度和这颗卫星的观测。我们比较对应的大地水准面模型从这颗卫星最低级别的过滤激光测和retracked雷达测高派生,以允许北冰洋MDT的一致估计平均海面(MSS)模型。结果相比,海洋模型,显示整体的绝对一致性是在分米级实现。北冰洋海冰的干舷高度(因此冰厚度)是这些调查的一个组成部分,而这颗卫星衍生的干舷高度显示为从Quikscat确定一个良好的相关性,以多年冰的分布。该调查表示正在进行的ESA项目“ArcGICE”的核心。它的一个主要目标是为海洋表面高度的估计,包括相关的错误一个实用的算法。这些参数还可以用于例如作为用于海冰干舷的Cryosat-2测量的参考。所述ArcGICE研究包括详细的错误估计和协方差的研究,很明显,数据GOCE的夹杂物将显著增强冰的厚度和从例如MDT映射CryoSat-2。

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