Dynamical systems for remote validation of very high-resolution ocean models
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arXiv
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| Format: | Preprint |
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2025
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| author | Garcia-Sanchez, G. Mancho, A. M. Ramos, A. G. Coca, J. Jimenez-Madrid, J. A. |
| author_facet | Garcia-Sanchez, G. Mancho, A. M. Ramos, A. G. Coca, J. Jimenez-Madrid, J. A. |
| contents | This paper presents and investigates a novel methodology for validating high-resolution ocean models using satellite imagery. High-resolution ocean models provide detailed information in coastal areas where other available data products are too coarse. Models are usually fitted by comparing them with observations; However, accessing in situ data in all small coastal areas is not feasible, as in situ observations are scarce and obtained through dedicated ships or instruments in limited and selected regions. Our work aims to use alternative remote sensing information to overcome this challenge. The approach involves establishing connections between the satellite observations and the outcomes of various computational experiments carried out using the Regional Ocean Modeling System (ROMS), which allows the selection of different parameters to run the ocean model. These choices are not fully determined a priori and each one produces distinct outputs, which are then linked to the images through dynamical systems objects. By defining a performance index, we are able to quantify which experiment provides a better representation of the local ocean state. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_16026 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Dynamical systems for remote validation of very high-resolution ocean models Garcia-Sanchez, G. Mancho, A. M. Ramos, A. G. Coca, J. Jimenez-Madrid, J. A. Atmospheric and Oceanic Physics Dynamical Systems Chaotic Dynamics 37N10, 76-10 This paper presents and investigates a novel methodology for validating high-resolution ocean models using satellite imagery. High-resolution ocean models provide detailed information in coastal areas where other available data products are too coarse. Models are usually fitted by comparing them with observations; However, accessing in situ data in all small coastal areas is not feasible, as in situ observations are scarce and obtained through dedicated ships or instruments in limited and selected regions. Our work aims to use alternative remote sensing information to overcome this challenge. The approach involves establishing connections between the satellite observations and the outcomes of various computational experiments carried out using the Regional Ocean Modeling System (ROMS), which allows the selection of different parameters to run the ocean model. These choices are not fully determined a priori and each one produces distinct outputs, which are then linked to the images through dynamical systems objects. By defining a performance index, we are able to quantify which experiment provides a better representation of the local ocean state. |
| title | Dynamical systems for remote validation of very high-resolution ocean models |
| topic | Atmospheric and Oceanic Physics Dynamical Systems Chaotic Dynamics 37N10, 76-10 |
| url | https://arxiv.org/abs/2501.16026 |