Microstructure datasets from the MomarSat 2022 cruise

this data publication provides two datasets of turbulent kinetic energy dissipation rates sampled during the momarsat 2022 cruise. one dataset was gathered with a deep autonomous vertical microstructure profiler (vmp-6000). the second dataset was gathered with the microriyo mooring as described in the reference paper (ferron et al. 2024). the two datasets, one for each instrument, are available as tar files. each tar file contains fourteen netcdf files. each netcdf file contains the dissipation rate profile, the time (utc) of the profile start, the geographical position (deployment of the vmp or mooring position), and the mean pressure for each dissipation rate estimate (two estimates at each pressure level from the two shear sensors). each dissipation rate comes with a quality control matrix qc (14 x 4) that characterizes how the associated mean shear spectrum fitted the expected theoretical nasmyth spectrum:qc( 1:10, 1 ) : value of the 10 criteria used (see reference paper) for the dissipation rates of shear 1.qc( 1:10, 2 ): criteria met (=1) or not met (=0) for shear 1 dissipation rates.qc(11,1): same criteria as qc(10,1) expressed in terms of mean absolute deviation (mad) instead of variance (see lueck et al. 2022) (shear 1).qc(11,2): state whether criteria qc(11,1) is met (=1) or not met (=0) (shear 1).qc(12,1): number of shear spectra averaged to compute one dissipation rate estimate (shear 1).qc(12,2): number of accelerometer used to remove vibrations (goodman et al. 2006; lueck et al. 2022; ferron et al. 2023) (shear 1)qc(13,1): mad (shear 1)qc(13,2): unusedqc(14,1): index of first used spectral component to compute the shear variance used in the dissipation rate estimate (shear 1).qc(14,2): index of last used spectral component to compute the shear variance used in the dissipation rate estimate (shear 1).qc(:,3): same as qc(:,1) for shear 2.qc(:,4): same as qc(:,2) for shear 2.shear data were processed following the processing flow chart of the atomix scor working group 160 (https://wiki.app.uib.no/atomix/index.php?title=flow_chart_for_shear_probes).references:ferron, b., s. leizour, m. hamon, o. peden, 2024: microriyo : an observing system for deep repeated profiles of kinetic energy dissipation rates from shear-microstructure turbulence along a mooring line, submitted to j. atmos. ocean. tech.lueck, r. g., 2022: the statistics of oceanic turbulence measurements. part ii: shear spectra and a new spectral model. j. atmos. oceanic technol., 39, 1273–1282, https://doi.org/10.1175/jtech-d-21-0050.1.

本数据发布提供了在momarsat 2022航次期间采集的两种湍流动能耗散率的样本数据集。其中一个数据集采用深海自主垂直微结构探测器（VMP-6000）收集。第二个数据集依据参考文献（Ferron等，2024年）中描述的microriyo锚泊系统收集。这两个数据集，每个仪器一个，均以tar文件格式提供。每个tar文件包含十四个netcdf文件。每个netcdf文件包含耗散率分布、分布起始时间（UTC）、地理位置（VMP的部署或锚泊位置）以及每个耗散率估计的平均压力（每个压力级别从两个剪切传感器中各得到两个估计）。每个耗散率都附带一个质量控制矩阵qc（14 x 4），该矩阵描述了相关的平均剪切频谱如何拟合预期的理论Nasmyth频谱：qc(1:10, 1)：用于剪切1耗散率的10个标准值（详见参考文献）。qc(1:10, 2)：剪切1耗散率是否满足标准（=1）或未满足（=0）。qc(11,1)：与qc(10,1)相同的标准，以平均绝对偏差（MAD）而不是方差表示（参见Lueck等，2022年）（剪切1）。qc(11,2)：判断qc(11,1)是否满足（=1）或未满足（=0）（剪切1）。qc(12,1)：计算一个耗散率估计所平均的剪切频谱数量（剪切1）。qc(12,2)：用于消除振动的加速度计数量（参见Goodman等，2006年；Lueck等，2022年；Ferron等，2023年）（剪切1）。qc(13,1)：MAD（剪切1）。qc(13,2)：未使用。qc(14,1)：用于计算耗散率估计中使用的剪切方差所采用的第一个光谱成分的索引（剪切1）。qc(14,2)：用于计算耗散率估计中使用的剪切方差所采用的最后一个光谱成分的索引（剪切1）。qc(:,3)：与qc(:,1)对剪切2相同。qc(:,4)：与qc(:,2)对剪切2相同。剪切数据处理遵循atomix scor工作组160的处理流程图（https://wiki.app.uib.no/atomix/index.php?title=flow_chart_for_shear_probes）。参考文献：Ferron, B., S. Leizour, M. Hamon, O. Peden, 2024: Microriyo：一种用于测量沿锚泊线剪切-微结构湍流动能耗散率的深层重复剖面观测系统，投稿于《大气与海洋技术杂志》。Lueck, R. G., 2022: 海洋湍流测量统计。第二部分：剪切频谱及新的频谱模型。《大气与海洋技术杂志》，39，1273–1282，https://doi.org/10.1175/jtech-d-21-0050.1。