Welcome to the LANCE-MODIS data system operated by the GSFC
Terrestrial Information Systems Branch, Code 614.5.
LANCE includes
three near-real-time systems: the GES DISC AIRS and MLS systems, the
OMI SIPS system, and this system. LANCE-MODIS provides certain Aqua
and Terra MODIS L0, L1, L2, L2G, and L3 products on a near-real-time
basis. On average, the L1 and L2 products are available within 2.5
hours of the observation time. LANCE-MODIS has two standalone
systems to improve availability. Data products may be accessed from
the FTP sites of either
system.
About
Detailed information about LANCE-MODIS including the hardware
configuration, the data flows, and metrics.
Data Products
Information about LANCE-MODIS data products including latency
information, PGE versions, and a comparison of NRT and standard
products.
Known Issues
Known issues with LANCE-MODIS data products.
User Services
Contact information for LANCE-MODIS user services.
Registration
Users must register before accessing LANCE-MODIS data products on
the FTP Site.
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04.29.13 - The LANCE-MODIS primary system will be shut down on
Wednesday, May 8, 2013 from 9am to 12pm EDT for scheduled
maintenance. During the down time, the nrt1.modaps.eosdis.nasa.gov
FTP site will not be available. The backup system, including the
nrt2.modaps.eosdis.nasa.gov FTP site, will be available as usual
during the down time. We apologize for any inconvenience this may
cause.
04.26.13 - The LANCE-MODIS backup system will be shut down on
Wednesday, May 1, 2013 from 9am to 12pm EDT for scheduled
maintenance. During the down time, the nrt2.modaps.eosdis.nasa.gov
FTP site will not be available. The primary system, including the
nrt1.modaps.eosdis.nasa.gov FTP site, will be available as usual
during the down time. We apologize for any inconvenience this may
cause.
10.09.12 - The Naval Research Laboratory and the University of North
Dakota developed a value-added aerosol optical depth dataset based
on MODIS Level 2 aerosol products. The NRL-UND product is a level 3
gridded product specifically designed for quantitative applications
including data assimilation and model validation. This dataset has
been given the ESDT identifier MxDAODHD
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