Earthdata Forum

Hello,

I am processing L1A MODIS Aqua files downloaded from the ladsweb.  The date range and names for the files are as follows.

MYD01.A2004354.0630.006.2017188013625.hdf
to
MYD01.A2004366.0655.006.2017188011950.hdf

The coordinates for this files are 10-13N and 107-111E.  This is SE coastal Vietnam

l2gen fails at the getanc.py.  The getanclog file contains the following.

*** WARNING: No optimal MET files found.
*** WARNING: No optimal MET files found.
*** WARNING: No optimal SST files found.
*** WARNING: No optimal ICE files found.

*** WARNING: The following ancillary data types were missing or are not optimal:  MET OZONE SST Sea Ice

I need the met files for further processing.  Does this error mean, as it says, that there are no suitable MET files available and as a results the data for this 12 day period are unusable?  Or, is there a problem with the processing approach?  I have not come across this error with other files in 2003 and 2004, as of yet.  Is there anything I can do to fix this?

Thanks for your help

Andy

Andy,
I grabbed our version of the first file and getanc.py returns values for all ancillary products:

$ getanc.py A2004354063000.L1A_LAC

Aqua
icefile=/accounts/sean/ocssw/var/anc/2004/354/N200435400_SEAICE_NSIDC_24h.hdf
met1=/accounts/sean/ocssw/var/anc/2004/354/N200435406_MET_NCEPR2_6h.hdf
met2=/accounts/sean/ocssw/var/anc/2004/354/N200435412_MET_NCEPR2_6h.hdf
met3=/accounts/sean/ocssw/var/anc/2004/354/N200435412_MET_NCEPR2_6h.hdf
ozone1=/accounts/sean/ocssw/var/anc/2004/353/N200435300_O3_AURAOMI_24h.hdf
ozone2=/accounts/sean/ocssw/var/anc/2004/354/N200435400_O3_AURAOMI_24h.hdf
ozone3=/accounts/sean/ocssw/var/anc/2004/354/N200435400_O3_AURAOMI_24h.hdf
sstfile=/accounts/sean/ocssw/var/anc/2004/354/N2004354_SST_OIV2AVAM_24h.nc

try again?  or use our L1A files :grin:

Sean

Thank you Sean.  I will give your files a try and report back. 

Andy

Hi Sean,

I realize that this is an old post, but thought I would still follow up.  The lack of MET files still happened with the ocean color data.  However, I did find this post

https://oceancolor.gsfc.nasa.gov/forum/oceancolor/topic_show.pl?tid=4623

It recommends --refreshDB with getanc.py.

That did the trick.

Andy