Introduction. ============= This directory structure contains the ESA Ocean Colour Climate Change Initiative version 4.0 dataset release, consisting of uncertainty-characterised, level 3 mapped chlorophyll, remote sensing reflectance and inherent optical properties. For more information, please: - read the quickstart and directory structure description below - download the Product User Guide (PUG) in the documentation directory - contact us at help@esa-oceancolour-cci.org Quick start. ============ - The geographic projection netCDFs will be most immediately usable in standard packages and programming libraries. They are CF-convention compliant. - SNAP (http://step.esa.int/main/toolboxes/snap/) is a quick and well featured tool for visualising and exploring the data. Please see the User Guide (PUG) in the documentation directory for examples of how to use the program. - Browse to the appropriate netCDF level and download data. - Alternative browse methods can be found on http://www.oceancolour.org/ - if you have problems, please read the Product User Guide (PUG) in the documentation directory or contact us at: help@esa-oceancolour-cci.org What algorithms were used? ========================== These choices were based on the results of the round-robin evaluation of algorithms. See the PUG for more details. Chlorophyll: a blended merger of multiple algorithms (OC3, OCI [OC4+CI], OC5) with the weighting determined by water class memberships IOP: QAA (with Zhang bb coefficients) Kd490: Lee variant (with Zhang bb coefficients) Rrs: Mixed - SeaDAS for VIIRS and SeaWiFS L2, Polymer for MERIS and MODIS L2, bandshifted to SeaWiFS, cleaned up and merged. Water types and uncertainty: following Tim Moore's approach with custom classes. Directory structure. ==================== The layout of the directory structure should be relatively understandable, but the layers consist of: -- a choice of geographic and sinusoidal projections +- in each, netcdf (for data) and PNG (for quicklooks / convenience) +- product type (all, chlor_a only, etc) +- temporal structure (daily, 8 day, monthly, etc) +- time (year) +- the data