Insights on the non-linear solution of Munk's ocean circulation theory from a rotating tank experiment
| Autor: | Iury T. Simoes-Sousa, Dante C. Napolitano, Hélio Almeida, Paulo S. Polito, O. T. Sato, Fabrício R. Lapolli |
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| Rok vydání: | 2021 |
| Předmět: |
geography
geography.geographical_feature_category Ocean current Boundary (topology) Geophysics Aquatic Science Oceanography Tracking (particle physics) Rotating tank OCEANOGRAFIA FÍSICA COSTEIRA Circulation (fluid dynamics) Geophysical fluid dynamics Ocean gyre Stream function Geology Water Science and Technology |
| Zdroj: | Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP |
| Popis: | At age 101, Walter Munk passed away in 2019. His groundbreaking discoveries will still guide and amaze oceanography students for years to come. Here, we perceive patterns in rotating tank with Munk's circulation theory aided by a Lagrangian particles tracking algorithm and numerical modeling. From information captured by video, we track the trajectories of drifters, and then objectively mapped the streamfunction to obtain the mean circulation pattern. We were able to reproduce the wind-forced anticyclonic and asymmetric gyre, including the western boundary intensification and its retroflection. The latter phenomenon was predicted by the non-linear version of Munk's model and observed in real subtropical gyres as small recirculation regions. We have configured two numerical model simulations mimicking the physical experiment, with linear and non-linear terms. The comparison between the numerical and physical experiments confirmed the effect of non-linear distortion of the gyre. Geophysical fluid dynamics is often hard to visualize, and counter-intuitive in a rotating system. We present this set of experiments as a tool for oceanography teaching. Besides studying general ocean circulation theories and observations through practical examples, this experiment provides an opportunity to develop basic image processing and geophysical modelling skills. |
| Databáze: | OpenAIRE |
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