Objective
The tidal flow of ionized particles in seawater across Earth’s geomagnetic field induces electromagnetic (EM) signals within the ocean and solid Earth. These periodic signals are sensitive to oceanic properties such as salinity, temperature, and ultimately heat content, offering unique opportunities for climate monitoring. Despite 25 years of satellite-based tidal EM observations, their potential to estimate oceanic heat content (OHC) variations from space remains largely unexplored. PHOENIX proposes a pioneering framework to recover OHC from tidal EM fields by employing Physics-Informed Neural Networks (PINNs). This approach mitigates the inherent non-uniqueness of Earth sciences problems and the sparsity and uncertainties of available datasets by embedding physical constraints directly into the neural network architecture. A new 3-D EM solver will enforce these constraints and boundary conditions, enhancing the robustness and plausibility of the estimates. By combining advanced modelling with machine learning, PHOENIX will demonstrate how satellite magnetic data can be transformed into reliable OHC indicators. Systematic studies with realistic synthetic datasets will establish a framework for recovering physical properties from EM satellite data. A social media–focused scientific outreach strategy is envisaged, bringing fundamental climate concepts and scientific advancements to the general public. The techniques developed in this project will be readily applicable to the next generation of satellite-borne missions. This innovative approach will open a new avenue for global climate monitoring, strengthen interdisciplinary links between geophysics and climate science, and contribute to the EU’s efforts towards environmentally sustainable societal progress. The fellowship will equip the researcher with cutting-edge interdisciplinary expertise, boosting career prospects in both academia and applied climate innovation.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology mechanical engineering vehicle engineering aerospace engineering satellite technology
- natural sciences earth and related environmental sciences atmospheric sciences climatology
- natural sciences earth and related environmental sciences geophysics
- natural sciences computer and information sciences artificial intelligence machine learning
- natural sciences computer and information sciences artificial intelligence computational intelligence
You need to log in or register to use this function
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2025-PF
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
14473 POTSDAM
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.