This dataset offers a comprehensive collection of oceanographic data spanning 2000-2009, designed to support multi-scale analyses of marine environments. It includes key environmental parameters such as chlorophyll concentration, sea surface temperature, and photosynthetically active radiation, gathered from satellite sensors like MODIS-AQUA, SeaWIFS, and AVHRR. These data are provided at multiple spatial (8 km to 500 km) and temporal (daily to climatological) resolutions, allowing researchers to study oceanic processes across various scales. In addition to traditional oceanographic data (Eulerian variables), the dataset also includes Lagrangian variables such as Finite-Time Lyapunov Exponents (FTLE) and dilation rates, which offer insights into ocean transport and mixing. By integrating satellite observations and numerical models (e.g., HYCOM and OSCAR), this dataset provides a versatile resource for understanding marine ecosystems, supporting research in physical oceanography, climate change, and marine predator habitat modeling.
This dataset is currently being archived by the NASA Ocean Biology Distributed Active Archive Center (OB.DAAC). Once the data become publicly available, detailed access instructions and download links will be provided in this section.
Pinti J, Shatley M, Huntley HS, Carlisle A, Oliver MJ (2024) The interplay between animal location accuracy and the decorrelation length scale of environmental variables when investigating environmental selection in marine organisms. Mar Ecol Prog Ser 732:1-14. https://doi.org/10.3354/meps14546
Pinti, J., Shatley, M., Carlisle, A. et al. Using pseudo-absence models to test for environmental selection in marine movement ecology: the importance of sample size and selection strength. Mov Ecol 10, 60 (2022). https://doi.org/10.1186/s40462-022-00362-1
