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Thank you very much for your answer.

Hi again, Edit : I got most of the answers from playing with the data, I would just like a confirmation for: - I can not find the depth of each in situ sample in the header, are all the data supposed to come from the 0-2m surface? - Does the insitu_at correspond to atmospheric temperature ? - What d...

The answer was there since the beginning !

Thanks Sean.

Hello,

I wonder if a website refers to ocean color matchup data sets like Seabass / NOMAD etc. but for the sea surface temperature ?
I have my own data set but for MODIS-A daylight only and wanted to add some nocturnal data. However any sensors are welcome.

Thanks for your the answer George. You are right, my good definition would be a distribution following the 1:1 line when we compare in situ and remote data, with something like +/- 3 times the % error associated to the in situ measurement. I would be happy with a SST algorithm returning +/- 1 °C com...

Hello, I started to work on MODIS-A SST (processed from L1 to L3m, saving SST(11 and 4), Vis/NIR/BTs reflectances (TOA/BOA)) for my area, the North Sea. When I look at a random map, let say the 20th of April 2005 (AQUA_MODIS.20050420T121505.L2.SST.nc, https://oceancolor.gsfc.nasa.gov/cgi/browse.pl?s...

Perfect, thank you !

Hello Minwei thank you,Sad we can't write proper equations, could you write it with one single fraction please ? It is a bit hard to understand the way you wrote it.Is it :( pi * ((Lt / (tg_sen * tg_sen)) - Lr)) / ( F0 * mu0 * tsol * tsen ) ?Sean wrote, https://oceancolor.gsfc.nasa.gov/forum/oce...

Hello,

I wonder if there is a difference in what SeaDAS produces as Rhos and Rrc, the Rayleigh corrected reflectance used for FAI/AFAI algorithms.
Can you tell me the formula for both products (if they are different ?)
I would expect :
Rhos = pi * (Lt - Lr) / F0 * mu0, but I am not 100% certain.

It works well thanks for the answer Danny !