Transcript Project title: - George Mason University

Project title: An A-train Integrated Aerosol, Cloud, and Radiation Data Product
Project Team: Seiji Kato ([email protected]), Bruce A. Wielicki ([email protected]),
Sunny Sun-Mack, Walt Miller, Fred Rose, David Winker, Graeme Stephens, Thomas Charlock,
Paul Stackhouse, William Collins, Patrick Minnis, Norman Loeb, Kuan-man Xu
Science Issue: uncertainty in detecting aerosol
layers close to clouds and overlapping cloud
layers by passive instruments and their radiative
effects.
Approach: Use active sensors to detect aerosol and
cloud layers. Use CERES to assess the
radiative effects.
Satellite-based data: CALIPSO, CloudSat, CERES,
and MODIS
Other Data: GEOS, NSIDC snow map
Models: Radiative transfer model
Study objectives: Understand aerosol-cloud and
multi-layer cloud radiative effects.
Project status
Year 1 : Developed CALIPSO-CloudSat-MODIS
merging algorithm (See a conference paper by
Mack et al. 2007 http://earthwww.larc.nasa.gov/~cwg/html/SunMack.SPIE.07.final.pdf)
.
Made draft of the data catalog.
Now: Merging CALIPS-CloudSat-MODIS with
CERES
NEWS linkages:
Linkage will be on the NEWS web site once data are
available. The data set will be called C3M
(CALIPSO, CloudSat, CERES, and MODIS).
Cloud occurrence derived from 1 month (April 2007) of
CALIPSO CloudSat merged data