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Azores IOP Mary Jane Bartholomew Brookhaven National Laboratory

Azores IOP Mary Jane Bartholomew Brookhaven National Laboratory. Clouds, Aerosol and Precipitation in the Marine Boundary Layer CAP-MBL. Science Plan Summary. Science Team Members. PI Robert Wood – University of Washington Christopher Bretherton – University of Washington

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Azores IOP Mary Jane Bartholomew Brookhaven National Laboratory

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  1. Azores IOPMary Jane BartholomewBrookhaven National Laboratory Clouds, Aerosol and Precipitation in the Marine Boundary LayerCAP-MBL Science Plan Summary AWG/CM 2009

  2. Science Team Members • PI Robert Wood – University of Washington • Christopher Bretherton – University of Washington • Bruce Albrecht – University of Miami • Hugh Coe – University of Manchester • Christopher Fairall – NOAA Earth System Research Laboratory • René Garreaud – Universidad de Chile • Tom Ackerman – University of Washington • Bjorn Stevens – University of California, Los Angeles • Graham Feingold – NOAA Earth System Research Laboratory • David Turner – University of Wisconsin – Madison AWG/CM 2009

  3. Note- The site is at the north end of the island. Moderate resolution imaging spectroradiometer (MODIS) annual mean cloud droplet concentration for overcast warm clouds over the North Atlantic. AWG/CM 2009

  4. Typical landscape At the site looking east ~300m from coastline AWG/CM 2009

  5. Science Questions .  Which synoptic-scale features dominate the variability in subtropical low clouds on diurnal to seasonal timescales over the NEA? Do physical, optical, and cloud-forming properties of aerosols vary with these synoptic features? How well can state-of-the-art weather forecast and climate models (run in forecast mode) predict the day-to-day variability of NEA cloud cover and its radiative impacts?  Can we find observational support for the Twomey effect in clouds over the NEA?  What is the variability in precipitation frequency and strength in the subtropical cloud-topped MBL on diurnal to seasonal timescales, and is this variability correlated with variability in aerosol properties?  Are observed transitions in cloud mesoscale structure (e.g., from closed cellular to open cellular convection) influenced by the formation of precipitation? AWG/CM 2009

  6. Not shown AOS System PSAP NEPH CNC OPC AWG/CM 2009

  7. AWG/CM 2009

  8. Surface Based and Aircraft Measurements of Chemistry, Aerosols and Clouds (Hugh Coe, University of Manchester) Pico International Chemical Observatory, a Component of the North Atlantic Regional Experiment (PICO-NARE) Synergistic Activities The Center of Climate, Meteorology and Climate Change (CMMG) at the University of the Azores AWG/CM 2009

  9. Modeling Studies planned by science team GCM efforts -Representation of cloud microphysics, turbulence, moist convection and radiative transfer in cloudy atmospheres in NCAR,GFDL and NASA-GMAO Models (Bretherton, Garreaud, Feingold and Stevens) -Find case study for Boundary Layer Cloud Working Group of GEWEX Cloud system Study for intercomparison of observational and laboratory based work with one-dimensional GCM and 3D large-eddy-simulation models (Bretherton and Stevens) LES and SCM (NCAR CAM3) -complexity in model resolution/domain size, and parameterizations of cloud microphysics and of cloud-aerosol interaction is required to adequately simulate precipitation processes and their feedbacks on cloud radiative properties Mesoscale and Global models -forecast the synoptic variability of low cloud and cloud radiative forcing over at timescales of 1-7 days, using current climate models run in forecast mode as in the CAPT project, or using nested regional models such as the Weather Research and Forecasting (WRF) model forced at the model domain boundaries by global reanalyses? AWG/CM 2009

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