4/27 Colloquium: Observational studies of tropical convective cloud processes

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Date(s) - 04/27/2017
5:30 pm - 7:00 pm

GC Room 9205


MICHAEL JENSEN of the Department of  Env. and Climate Sciences at Brookhaven National Laboratory presents on


“Observational studies of tropical convective cloud processes”

Convective cloud processes serve as the primary mechanism for the transfer of heat, moisture and momentum through the troposphere driving atmospheric circulation. Realistic representation of convective processes is critical to constrain climate sensitivity in global climate models. The growth of convective clouds is investigated through the analysis of DOE Atmospheric Radiation Measurement Program ground-based observations collected during long-term deployments in the Tropical Western Pacific and the Amazon Basin. Vertically-pointing millimeter-wavelength radar observations are used to constrain a simple entraining plume model to investigate the role of environmental thermodynamic structure in determining the depth of tropical convective clouds. The results highlight the importance of the mid-tropospheric humidity in determining tropical convective cloud growth under a variety of conditions and locales.

Michael Jensen

Speaker Bio:

Dr. Jensen’s research focuses on the use of both satellite and ground-based remote sensing observations in order to better understand the lifecycle of cloud systems and the role they play in the Earth’s energy balance. He has been actively involved with the Department of Energy’s Atmospheric Radiation Measurement Program since 1996 working on research projects studying the radiative impacts of deep convective clouds in the tropics, defining the characteristics of marine boundary layer clouds and the retrieval of cloud microphysical properties from remote sensing observations. He was the lead investigator for the Midlatitude Continental Convective Clouds Experiment (MC3E) in 2011. Dr. Jensen is also the Science Translator for the ARM Cloud Lifecycle Working Group overseeing the development of cloud related value-added data products from ARM observations.

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