A New Open Source Implementation of Lagrangian Filtering: A Method to Identify Internal Waves in High‐Resolution Simulations
| Autor: | Scott Bachman, Callum J. Shakespeare, Nick Velzeboer, Andrew McC. Hogg, Shane R. Keating, Angus H. Gibson |
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| Rok vydání: | 2021 |
| Předmět: |
Physical geography
Global and Planetary Change High resolution modeling Eulerian path GC1-1581 Mechanics filtering Internal wave Oceanography GB3-5030 symbols.namesake Open source balanced flow internal waves symbols General Earth and Planetary Sciences Environmental Chemistry Balanced flow Eulerian Lagrangian Geology |
| Zdroj: | Journal of Advances in Modeling Earth Systems, Vol 13, Iss 10, Pp n/a-n/a (2021) |
| ISSN: | 1942-2466 |
| DOI: | 10.1029/2021ms002616 |
| Popis: | Identifying internal waves in complex flow fields is a long‐standing problem in fluid dynamics, oceanography and atmospheric science, owing to the overlap of internal waves temporal and spatial scales with other flow regimes. Lagrangian filtering—that is, temporal filtering in a frame of reference moving with the flow—is one proposed methodology for performing this separation. Here we (a) describe an improved implementation of the Lagrangian filtering methodology and (b) introduce a new freely available, parallelized Python package that applies the method. We show that the package can be used to directly filter output from a variety of common ocean models including MITgcm, Regional Ocean Modeling System and MOM5 for both regional and global domains at high resolution. The Lagrangian filtering is shown to be a useful tool to both identify (and thereby quantify) internal waves, and to remove internal waves to isolate the non‐wave flow field. |
| Databáze: | OpenAIRE |
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