Performance analysis of global HYCOM flow field using Argo profiles

• Published in: International Journal of Digital Earth
• Main Authors: Yixuan Zhang, Songshan Yue, Kai Xu, Zhuo Zhang, Liangcheng Zhou, Yihan Zhang, Guonian Lü
• Format: Article in Journal/Newspaper
• Language: English
• Published: Taylor & Francis Group 2023
• Subjects: hycom; argo floats; ocean flow field; trajectory matching; ocean modeling; Mathematical geography. Cartography; GA1-1776; North Atlantic
• Online Access: https://doi.org/10.1080/17538947.2023.2252407; https://doaj.org/article/1b125dfee3014fd487be3b8bf5ceac04

Flow field data generated by ocean models are important for simulating ocean currents and circulation patterns, which are essential components in digital Earth construction. To evaluate the accuracy of model-simulated flow fields, Array for Real-time Geostrophic Oceanography (Argo) float observations can be considered benchmarks. In this study, a novel method for comparing Argo profiles with 3-dimensional trajectories obtained by simulating Argo floats in Hybrid Coordinate Ocean Model (HYCOM)-provided flow fields was proposed. Surface and subsurface trajectories were calculated, and their spatial matching characteristics were analyzed. The results demonstrated that (1) the HYCOM surface and subsurface flow fields generally conform to the basic characteristics and trends of ocean currents; (2) the HYCOM sea surface current field error pattern exhibits a symmetrical distribution centered on the equator in the Northern and Southern Hemispheres and increases with increasing latitude; and (3) the HYCOM subsurface flow field exhibits regional differences, with the largest differences in the Gulf Stream, North Atlantic Warm Current, and Westerly Wind Drift region. Through analysis of the disparities between HYCOM and Argo data, the effectiveness of using model simulation data can be enhanced, and the accuracy and dependability of ocean models can be improved.