HR: 0800h
AN: GC51D-1071    [Abstracts]
TI: Development and Evaluation of a Stochastic Cloud-radiation Parameterization
AU: * Veron, D E
EM: veron@envsci.rutgers.edu
AF: Rutgers, The State University of New Jersey, Department of Environmental Sciences 14 College Farm Road, New Brunswick, NJ 08901-8551 United States
AU: Secora, J
EM: secora@imcs.rutgers.edu
AF: Rutgers, The State University of New Jersey, Department of Environmental Sciences 14 College Farm Road, New Brunswick, NJ 08901-8551 United States
AU: Foster, M
EM: mfoster@envsci.rutgers.edu
AF: Rutgers, The State University of New Jersey, Department of Environmental Sciences 14 College Farm Road, New Brunswick, NJ 08901-8551 United States
AB: Previous studies have shown that a stochastic cloud-radiation model accurately represents the domain-averaged shortwave fluxes when compared to observations. Using continuously sampled cloud property observations from the three Atmospheric Radiation Measurement (ARM) Program's Clouds and Radiation Testbed (CART) sites, we run a multiple-layer stochastic model and compare the results to that of the single-layer version of the model used in previous studies. In addition, we compare both to plane parallel model output and independent observations. We will use these results to develop a shortwave cloud-radiation parameterization that will incorporate the influence of the stochastic approach on the calculated radiative fluxes. Initial results using this resulting parameterization in a single-column model will be shown.
DE: 3359 Radiative processes
DE: 1600 GLOBAL CHANGE (New category)
DE: 1640 Remote sensing
SC: Global Climate Change [GC]
MN: 2004 AGU Fall Meeting