Global multi-scale Eulerian and Lagrangian oceanic environmental variables for the period 2000-2009

Oceans are dynamic environments, with processes occurring over a wide range of spatio-temporal scales.The development of remote sensing and data-assimilative numerical modelling has created a wealth of environmental data to better understand the marine environment.Environmental data are typically released at the scale at which they are observed, but it can be equally important to consider a coarser resolution in space and time, whether to match the resolution of other datasets or to target coarser scale processes.Deriving such coarsened datasets can be very computationally demanding when a large amount of data is involved.Here, we present a multi-scale dataset of Eulerian (chlorophyll concentration, light attenuation coefficient, photosynthetically active radiation, particulate organic carbon concentration, euphotic zone depth, sea surface temperature) and Lagrangian (dilation rate, finite-time Lyapunov exponent) variables for the period 2000-2009.Data were first acquired at the finest scale with remote sensing (SeaWIFS, MODIS-AQUA, AVHRR) and numerical modelling (HYCOM), before reprocessing at 20 different spatio-temporal scales (spatial scales of 8 or 9 km, 50 km, 100 km, 500 km; and temporal scales of 1 day, 8 days, 30 days, 365 days, and a climatology averaged over all available data) to facilitate multi-scale analyses of oceanic processes.