Designing a Large Scale Autonomous Observing Network: A Set Theory Approach.
Average rating votes
MetadataShow full item record
A well designed observing network is vital to improve our understanding of the oceans and to obtain better predictions of the future. As autonomous marine technology develops, the potential for deploying large autonomous observing systems becomes feasible. Though there are many design considerations to take into account (according to the target data use cases), a fundamental requirement is to take observations that capture the variability at the appropriate length scales. In doing so, a balance must be struck between the limited observation resources available and how well they are able to represent different areas of the ocean. In this paper we present and evaluate a new method to aid decision makers in designing near-optimal observing networks. The method uses ideas from set theory to recommend an irregular network of observations which provides a guaranteed level of representation (correlation) across a domain. We show that our method places more observations in areas wit.....
JournalFrontiers in Marine Science
Sustainable Development Goals (SDG)14.a
CitationByrne, D., Polton, J. Ribeiro, J., Fernand, L. and Holt, J ,(2022) Designing a Large Scale Autonomous Observing Network: A Set Theory Approach. Front.iers in Marine Science, 9:879003, 15pp. DOI: 10.3389/fmars.2022.879003
The following license files are associated with this item: