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Oceanographic and Marine Cross-Domain Data Management for Sustainable Development
The sparsity of observations poses a challenge common to various ocean science disciplines. Even for physical parameters where the spatial and temporal coverage is higher, current observational networks undersample a broad spectrum of scales. The situation is generally more severe for chemical and biological parameters because related sensors are less widely deployed. The analysis tool DIVA (Data-Interpolating Variational Analysis) is designed to generate gridded fields from in situdoi:10.4018/978-1-5225-0700-0.ch015 fatcat:nq3dglgxmngzjhy2uehzna32oq