HR: 1340h
AN: A23A-0873    [Abstracts]
TI: Multi-Sensor Data From A-Train Instruments Brought Together for Atmospheric Research
AU: Smith, P
EM: Peter.M.Smith@nasa.gov
AF: GES DISC/DAAC, Code 610.2, NASA/GSFC, Greenbelt, MD 20771, United States
AU: * Kempler, S
EM: Steven.J.Kempler@nasa.gov
AF: GES DISC/DAAC, Code 610.2, NASA/GSFC, Greenbelt, MD 20771, United States
AU: Leptoukh, G
EM: leptoukh@daac.gsfc.nasa.gov
AF: GES DISC/DAAC, Code 610.2, NASA/GSFC, Greenbelt, MD 20771, United States
AU: Savtchenko, A
EM: asavtche@pop600.gsfc.nasa.gov
AF: GES DISC/DAAC, Code 610.2, NASA/GSFC, Greenbelt, MD 20771, United States
AU: Winker, D
EM: david.m.winker@nasa.gov
AF: NASA/LaRC, MS/75, Langley, VA 23681, United States
AU: Stephens, G
EM: limi@atmos.colorado.edu
AF: Colorado State University, Department of Atmospheric Science, Ft. Collins, CO 80523, United States
AB: The A-Train is comprised of a series of instruments, developed independently, that measure highly related atmospheric components along the same flight path. In order to intercompare data from this multitude of sensors, researchers must access, subset, visualize, analyze and correlate distributed atmosphere measurements from the various A-Train instruments. The A-Train Data Depot (ATDD) has been operational for over a year, successfully performing the aforementioned functions on behalf of researchers, thus providing co- registered data from the Cloudsat, CALIOP, AIRS, and MODIS instruments for further intercomparisons. Of late, significant data from OMI and POLDER are now included in the ‘depot'. By specifying the desired spatial and temporal range, the researcher can subset, visualize, co-register, and access multi-sensor A-Train data related to: Cloud, aerosol, atmospheric temperature, and water vapor parameters (vertical profile visualizations); Cloud Pressure, cloud top temperature, water vapor, cloud optical thickness, and aerosol products (horizontal strips subsetted +/- 100km from the profile visualizations), and; Cloud pressure parameters (2-D line plots overlayed on the vertical profiles). All data is plotted using the GIOVANNI data exploration tool. A new feature of GIOVANNI is its ability to have collocated and subsetted data sets as well as PNG image files downloaded to the researcher's computing facility. By providing a convenient way to visualize and acquire multi-sensor data, ATDD affords users more time and effort to further their research.
UR: http://disc.gsfc.nasa.gov/atdd/
DE: 0320 Cloud physics and chemistry
DE: 0350 Pressure, density, and temperature
DE: 0365 Troposphere: composition and chemistry
DE: 1610 Atmosphere (0315, 0325)
DE: 3311 Clouds and aerosols
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting