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Thanks for the clarification, Sean !
Now I understand that the calibration changes of R2018 are indeed very large at some bands, and are compensated by opposite vicarious calibration changes (gain(443)=1.0043 in R2014, gain(443)=0.9579 in R2018).
Cheers,
François

Dear SeaDAS team,In order to apply alternate atmospheric correction algorithms (Polymer and Neural Network) to SeaWiFS, MODIS and VIIRS in the frame of OC-CCI, we are using l2gen to produce so-called "L1C" files, which are obtained by applying l2gen to L1A files with the following options,...

There seems to be a formatting issue for azimuth angles in Level2 SeaWiFS (when including sola and sena in output).SeaWiFS azimuth angles are defined in [0, 360], but netCDF attributes actually define :<class 'netCDF4._netCDF4.Variable'>int16 sola(number_of_lines, pixels_per_line)  ...

Hi Sean,Many thanks for your detailed answer !Now I understand why I have found different values. The first thing I did when looking at the spectral response (semilogy(rsr.index, rsr.M1)) was to filter out the values lower than 2% (rsr.M1[rsr.M1 < 0.02] = 0).So apparently I should not do that, but I...

Dear SeaDAS team,I am relying on Rayleigh optical thickness values provided in msl12_sensor_info.dat, as Tau_r (for VIIRS, SeaWiFS and MODIS).However after recalculating these values using the SRF as provided in https://oceancolor.gsfc.nasa.gov/docs/rsr/ and using [Bodhaine, 99], and I am finding la...