HR: 0830h
AN: A41E-0736    [PDF]
TI: Identifying Meteorological Regimes Using Satellite Data
AU: * Gordon, N D
EM: ndgordon@ucsd.edu
AF: Scripps Institution of Oceanography, University of California, San Diego, 9500 Gilman Drive Mail Code 0224, La Jolla, CA 92093 United States
AU: Norris, J R
EM: jnorris@ucsd.edu
AF: Scripps Institution of Oceanography, University of California, San Diego, 9500 Gilman Drive Mail Code 0224, La Jolla, CA 92093 United States
AU: Weaver, C P
EM: weaver@cep.rutgers.edu
AF: Center for Environmental Prediction, Rutgers University, 14 College Farm Road, New Brunswick, NJ 08901-8551 United States
AU: Klein, S A
EM: Stephen.Klein@noaa.gov
AF: Geophysical Fluid Dynamics Laboratory / NOAA, Princeton University Forrestral Campus / US Route 1 P.O. Box 308, Princeton, NJ 08542 United States
AB: We use a k-means clustering algorithm to group meteorological regimes with similar cloud properties retrieved from the Geostationary Operational Environmental Satellite (GOES8). We attempt to link each cluster, dictated by cloud properties, to a dynamic regime associated with cool season extratropical cyclones. Meteorological data is then averaged over the times associated with each cloud cluster to ensure that the cloud regimes are physically consistent. The analysis is restricted to a single Global Climate Model-sized box over the Southern Great Plains (SGP) site of the Atmospheric Radiation Measurement (ARM) program during the months of Jan-Mar, Nov-Dec of 2000. The ARM Continuous Forcing (ACF) Data Set is used to describe the meteorology of the single column over the ARM SGP site for each cluster and the Rapid Update Cycle (RUC) 40-km, isobaric Numerical Weather Prediction Analysis provides a representative picture of the mesoscale meteorology. We compare simulated cloudiness from a Single-Column Model (SCM) forced by ACF data to determine the sources for GCM parameterization deficiencies in predicting specific cloud types.
DE: 0320 Cloud physics and chemistry
SC: Atmospheric Sciences [A]
MN: 2003 Fall Meeting