Validation of High-Resolution Ocean Models Through Remote Sensing Observations

This presentation presents results discussed in [1] where a methodology based on the use of dynamical systems ideas to assess the quality of the results obtain from different configurations of a high resolution coastal ocean model is used. The aim is to leverage satellite imagery, which provides observations at a lower cost than in situ observations, and to propose a strategy for quantifying the quality of model results. Accessing in situ data across 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. Examples are discussed in selected coastal areas.

Acknowledgments

Support from PIE project Ref. 202250E001 funded by CSIC, from grant PID2021-123348OB-I00 funded by MCIN/ AEI /10.13039/501100011033/ and by FEDER A way for making Europe, from IMPRESSIVE, a project funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 821922, from SIRENA, funded by the European Maritime, Fisheries, and Aquaculture Fund (EMFAF) under the Pleamar 2023 Program of the Biodiversity Foundation.

References:

[1] G. Garcia-Sanchez, A.M. Mancho, A. G. Ramos, J. Coca, J.A. Jimenez-Madrid. Dynamical systems for remote validation of very high-resolution ocean models. Nonlinear Dynamics 112, 8653-8673 (2024).