Uncertainties of Drag Coefficient Estimates Above Sea Ice from Field Data

Uncertainties of Drag Coefficient Estimates Above Sea Ice from Field Data
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根据现场数据估算海冰上方阻力系数的不确定性

DOI:
10.1007/s10546-023-00851-9
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发表时间:
2024
影响因子:
4.3
通讯作者:
Blein S
Blein S
中科院分区:
地球科学3区
文献类型:
--
作者:
Blein S

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地表湍流交换对海冰动力学、海洋和海冰热量收支以及极地大气起着关键作用。地面湍流通量参数化中的不确定性主要由传递系数来表示,而参数化需从现场资料中估计出这些传递系数。测量误差通过传递系数的计算传播,并与用于校正稳定性影响的经验稳定性函数中的不确定性一起构成总误差。在这里,我们提出了一种方法来单独评估它们对每个系数估计的贡献以及总阻力系数的不确定性,并将该方法应用于Sheba战役的例子。我们得出的结论是,对于大多数常见的阻力系数值(介于和之间),相对总不确定度在25到50之间。对于平均具有稳定参数的稳定或不稳定条件,中性阻力系数的总不确定度超过中性阻力系数值本身,而对于总不确定度约为阻力系数的25%。对于更接近中性的情况,这种不确定度主要由地表湍流动量通量的测量不确定度主导,因此这应该是减少不确定度努力的目标。我们还提出了一种客观的现场数据筛选方法,它包括保留中性阻力系数的相对误差不超过给定阈值的数据。与其他数据筛选方法相比,该方法除了通常使用的通量质量控制程序外,还允许减少阻力系数的离散度,我们认为这是数据集质量更好的标志。
Surface turbulent exchanges play a key role on sea ice dynamics, on ocean and sea ice heat budgets and on the polar atmosphere. Uncertainties in parameterizations of surface turbulent fluxes are mostly held by the transfer coefficients and estimates of those transfer coefficients from field data are required for parameterization development. Measurement errors propagate through the computation of transfer coefficients and contribute to its total error together with the uncertainties in the empirical stability functions used to correct for stability effects. Here we propose a methodology to assess their contributions individually to each coefficient estimate as well as the total drag coefficient uncertainty and we apply this methodology on the example of the SHEBA campaign. We conclude that for most common drag coefficient values (betweenand), the relative total uncertainty ranges from 25 and 50. For stable or unstable conditions with a stability parameteron average, the total uncertainty in the neutral drag coefficient exceeds the neutral drag coefficient value itself, while forthe total uncertainty is around 25of the drag coefficient. For closer-to-neutral conditions, this uncertainty is dominated by measurement uncertainties in surface turbulent momentum fluxes which should therefore be the target of efforts in uncertainty reduction. We also propose an objective data-screening procedure for field data, which consists of retaining data for which the relative error on neutral drag coefficient does not exceed a given threshold. This method, in addition to the commonly used flux quality control procedure, allows for a reduction of the drag coefficient dispersion compared to other data-screening methods, which we take as an indication of better dataset quality.
DOI: 10.5194/acp-2021-705
发表时间: 2021-10
影响因子: 6.3
作者:
Piyush Srivastava;I. Brooks;J. Prytherch;D. Salisbury;A. Elvidge;I. Renfrew;M. Yelland
通讯作者: Piyush Srivastava;I. Brooks;J. Prytherch;D. Salisbury;A. Elvidge;I. Renfrew;M. Yelland
DOI: --
发表时间: 2015
期刊:
影响因子: --
作者:
M. Litt;J. Sicart;W. Helgason
通讯作者: W. Helgason
DOI: 10.5194/acp-16-1545-2016
发表时间: 2016-01-01
影响因子: 6.3
作者:
Elvidge, A. D.;Renfrew, I. A.;King, J. C.
通讯作者: King, J. C.