We study the compression of spatial and temporal features in fluid flow data using multimedia compression techniques. The efficacy of spatial compression techniques, including JPEG and JPEG2000 (JP2), and spatio-temporal video compression techniques, namely H.264, H.265, and AV1, in limiting the introduction of compression artifacts and preserving underlying flow physics are considered for laminar periodic wake around a cylinder, two-dimensional turbulence, and turbulent channel flow. These compression techniques significantly compress flow data while maintaining dominant flow features with negligible error. AV1 and H.265 compressions present the best performance across a variety of canonical flow regimes and outperform traditional techniques such as proper orthogonal decomposition in some cases. These image and video compression algorithms are flexible, scalable, and generalizable holding potential for a wide range of applications in fluid dynamics in the context of data storage and transfer.

翻译：本文研究了利用多媒体压缩技术对流体流动数据中空间与时间特征进行压缩的方法。针对圆柱绕流层周期尾迹、二维湍流以及槽道湍流等典型流动场景，系统评估了JPEG和JPEG2000（JP2）等空间压缩技术，以及H.264、H.265和AV1等时空视频压缩技术在抑制压缩伪影、保持底层流动物理特性方面的有效性。这些压缩技术能在保留主要流动特征且误差可忽略的前提下显著压缩流动数据。其中AV1和H.265压缩在多种典型流动形态中展现出最优性能，并在某些情况下优于本征正交分解等传统技术。上述图像与视频压缩算法灵活、可扩展且具有普适性，在流体力学数据存储与传输领域具有广阔的应用前景。