Minimize Algal Pigment Concentration

The algal pigment concentration can be derived from two algorithms: OC4ME and Neural Network (see dedicated processing section). Each of the derived concentrations is included in a specific file : chl_oc4me.nc and chl_nn.nc, respectively.

The following table provides the main characteristics of these variables including coverage, parameter ID, time latency, sampling and bands used in the associated product. The ancillary and auxiliary data provides the variables used during processing and are provided in Auxiliary Data Files (ADFs).

 

PRODUCT NAME Algal Pigment Concentration
PARAMETER ID CHL_OC4Me, CHL_NN. _OC4Me (_NN refer to the originating algorithm).
PRODUCT LEVEL 2
DESCRIPTION Chlorophyll-a concentration and associated error estimates.
PRODUCT PARAMETERS
COVERAGE global
PACKAGING half-orbit
LATENCY NRT, NTC
UNITS mg (chl a) m-3
RANGE 0.01 - 100 mg m-3 (0.01 - 30 when restricting to Case 1 waters)
SAMPLING Spatial: approximately 300 m x 300 m (FR) and 1.2 km x 1.2 km ; spectral: N/A
FORMAT 1-byte integer
APPENDED DATA Error estimate (1-byte integer)
FREQUENCY 1 product per orbit
SIZE OF PRODUCT Approx. 0.54 GB (FR), 35 MB (RR)
ADDITIONAL INFORMATION
INPUT BANDS OC4Me: Oa3 (443 nm) to Oa6 (560 nm)
NN: Oa1 (400 nm) - Oa12 (753.5 nm), Oa16 (778.75 nm), Oa17 (865 nm), Oa21 (1020 nm)
ANCILLARY AND AUXILIARY DATA OC4Me: Pre-computed f/Q tables, R table, Chl polynomial coefficients
NN : Neural net coefficients LUT