Dyakonov Gleb S, Ibrayev Rashit A
Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia.
Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow, Russia.
Data Brief. 2020 Mar 23;30:105368. doi: 10.1016/j.dib.2020.105368. eCollection 2020 Jun.
Mesoscale dynamics accounts for a significant part of the ocean kinetic energy and plays a crucial role in its mixing. The presented data were generated by numerical simulation and reveal mesoscale patterns of circulation of the upper 15-m layer of the Caspian Sea. The currents in 2003-2005 are reconstructed in an eddy-resolving ocean general circulation model SZ-COMPAS using a realistic forcing. The data arrays have a very high resolution: ∼2 km in space and 4 hours in time. This is sufficient to resolve most of mesoscale features of the sea dynamics as well as a wide range of their temporal spectrum, including inertial oscillations (with period ∼18 hours), synoptic and seasonal variability. The dataset includes: (1) raw model data on the velocity vector fields on three top-layer horizons (surface, 7 m, and 15 m) in 2003, (2) the same fields averaged over every month in 2003-2005, and (3) two video-files visualizing surface currents in 2003-2005 in which sea salinity is used to trace dynamical structures. The data can be used by marine researchers to explore the Caspian Sea dynamics and its impact on the sea biogeochemical condition.
中尺度动力学占海洋动能的很大一部分，并在其混合过程中发挥关键作用。所呈现的数据是通过数值模拟生成的，揭示了里海上层15米水层的中尺度环流模式。2003 - 2005年的海流是在一个具有涡旋分辨能力的海洋环流模型SZ - COMPAS中，利用实际强迫条件重建的。这些数据阵列具有非常高的分辨率：空间分辨率约为2千米，时间分辨率为4小时。这足以解析海洋动力学的大多数中尺度特征及其广泛的时间频谱，包括惯性振荡（周期约为18小时）、天气尺度和季节变化。数据集包括：（1）2003年三个顶层（海面、7米和15米）速度矢量场的原始模型数据，（2）2003 - 2005年每月平均的相同场，以及（3）两个可视化2003 - 2005年表面海流的视频文件，其中利用海水盐度追踪动力结构。海洋研究人员可以使用这些数据来探索里海动力学及其对海洋生物地球化学状况的影响。
