Objective
The modern Boreal summer corresponds to Antarctic winter season and vice versa, while their summer and winter are separated by 6 months due to an anti-phase bipolar seesaw in solar insolation. Similarly, Boreal and Austral summer insolations suggest an ant i-phase relationship, implying that a warmer Arctic corresponds to a cooler Antarctic in the geological past. Older estimates of sea surface temperatures (SSTs) for the Last Glacial Maximum (LGM) 18,000 years ago (18K) have been suggested by several recent studies to be underestimated, which is due to large errors in the SST estimates in previous studies. Artificial neural networks (ANNs) are a branch of artificial intelligence, computer systems that have the ability to learn in a way similar to the mammali an brain. ANNs have been found to yield far better SST estimates than standard methods. It is envisaged that ANNs based on radiolarians will be used to estimate paleo-SSTs and salinities for the last 150,000 years using high-resolution data from sediment cores from the Arctic and Antarctic Oceans with emphasis on comparing climate conditions during the Holocene, LGM, and Eemian Interglacial. Since radiolarian-based ANN estimates of modern SSTs yield ~25% lower errors than older methods, we expect that t hermal changes in the world ocean at 18K reported previously would be quite different, which would have wider implications for boundary conditions (glacial/interglacial) used in different general circulation models. Radiolarian ANN-based paleo-SSTs and salinities are envisaged to reveal more realistic thermohaline changes in the subtropical and subpolar regions in both hemispheres, at the strategically located gateway of the thermohaline circulation, which transports tropical heat to the North Atlantic, resulting in warmer winters in northern Europe than would otherwise be the case, than the scenario projected by shutting down the Conveyor Belt due to abrupt climatic changes.
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.
- 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.
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.
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.
FP6-2004-MOBILITY-7
See other projects for this call
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.
IIF - Marie Curie actions-Incoming International Fellowships
Coordinator
Sweden
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.