首页> 外文OA文献 >Impact of the Gravity Field and Steady-State Ocean Circulation Explorer (GOCE) mission on ocean circulation estimates 2. Volume and heat transports across hydrographic sections of unequally spaced stations.
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Impact of the Gravity Field and Steady-State Ocean Circulation Explorer (GOCE) mission on ocean circulation estimates 2. Volume and heat transports across hydrographic sections of unequally spaced stations.

机译:重力场和稳态海洋环流探测器(GOCE)对海洋环流估计的影响2.不等距离水站的水文剖面的体积和热量传输。

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摘要

Accurate geoids are expected to improve our knowlegde of the dynamicsea surface height (SSH) as a mirror of the dynamic state of theoceans. The dedicated geoid mission GOCE is expected to be lauched in 2004.It will lead to a highly accurate geoid model with a resolution of degreeand order 200. We examine the impact of this missionon the assessment of large scale oceanic mass and heat transports via itsexpected error characteristics. We do so applying a linear box inversemodel and a non-linear section inverse model to hydrographic data andto (synthetic) sea surface height data. The results are compared tothose obtained when substituting the error estimates of the GRACEmission and the present day geoid EGM96.For the box inverse model, we find an average reduction in transportuncertainties in Experiment A (which includes model error at the levelof sea surface height variability) of about 9 % for GRACE geoid errorcovariances and about 17 % for GOCE over the ``hydrography only'' solution.In both GRACE and GOCE these average percentage improvements aresignificantly increased when the SSH variability signal is excluded(Experiment B) to 42 % for GRACE and 47 % for GOCE. We expect a greaterimprovement in the accuracy of ocean transports from GOCE when WOCEhydrographic data are used to enclose numerous, smaller box regions.The apriori assumptions of the non-linear model about the oceancirculation are much more conservative than for the box model. As aconsequence, the uncertainties of large scale transports are much biggerthan for the linear model. On the other hand, since this model buildson small scale balances, it can resolve small scale features of theflow field better. SSH data with GRACE geoid error covariances reducethe uncertainties on the average by 29 %, with GOCE geoid errorcovariances by 37 %. Exclusion of the SSH variability changes(Experiment B) these numbers by less than 5 % points.Summarizing our results and those of Part I, III and IV of this studywe conclude that the GRACE mission reduces the marine geoid uncertaintiessuch that altimetry becomes useful for the study of the steady stateocean circulation.The GOCE mission will improve the accuracy of the circulation estimates evenfurther on the large scales and introduce higher accuracy on shorterwavelenths as well.Furthermore, it will enable us to study individual ocean currents.
机译:准确的大地水准面有望提高我们对动态海洋表面高度(SSH)的了解,作为海洋动态状态的镜像。预计将于2004年启动专门的大地水准面任务GOCE。它将产生一个高精度的大地水准面模型,其分辨率为200和阶数。我们通过其预期误差,考察了该任务对大规模海洋质量和热传输评估的影响。特征。我们这样做是对水文数据和(合成的)海面高度数据应用线性箱逆模型和非线性截面逆模型。将结果与替代GRACEmission和现今大地水准面EGM96的误差估计时获得的结果进行比较。对于盒逆模型,我们发现实验A中运输不确定性的平均减少量(包括海平面高度变化水平的模型误差) GRACE大地水准面误差协方差约为9%,而GOCE约17%(仅水文学)解决方案。在GRACE和GOCE中,当排除SSH变异性信号时,这些平均百分比改进显着提高(实验B),对于SSH变异性信号则达到42% GRACE,GOCE为47%。当使用WOCE水文学数据围封许多较小的箱形区域时,我们期望GOCE的海洋运输的准确性有更大的提高。关于海洋环流的非线性模型的先验假设比箱形模型保守得多。因此,大规模运输的不确定性远大于线性模型的不确定性。另一方面,由于该模型建立了小规模的平衡,因此可以更好地解决流场的小规模特征。带有GRACE大地水准面误差协方差的SSH数据平均降低了29%的不确定性,而GOCE大地水准面误差协方差减少了37%。排除SSH变异性变化(实验B),这些数字少于5%。总结我们的结果以及本研究的第I,III和IV部分的结果,我们得出结论,GRACE任务减少了海洋大地水准面的不确定性,因此测高法对GOCE任务将在更大范围内进一步提高环流估计的准确性,并在更短的波长上引入更高的精度,这将使我们能够研究单个洋流。

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