Staff Research

  • Adam Herrington

    Understanding climate models; sensitivities to grid resolution, dynamical cores, convection parameterizations, etc ... in order to guide model development and improve the representation of physical processes.

  • Andrew Gettelman

    Impact of clouds on climate, including the representation of ice and liquid clouds and their interactions with aerosol particles in the atmosphere. Numerical modeling of clouds for global climate impacts, from cloud microphysics, to cloud-aerosol interactions, to cloud feedbacks.

  • Benjamin Stephens

    Improving the representation of clouds and turbulence, particularly in the atmospheric boundary layer; understanding the representation of precipitation and its relationship to large-scale circulation in atmospheric models.

  • Brian Medeiros

    The role of small scale processes in the climate system, particularly clouds and turbulence; interaction of parameterized physics and dynamics in global models; model evaluation, especially using idealized modeling frameworks; cloud feedbacks and climate sensitivity; boundary layer processes.

  • Cecile Hannay

    The Atmospheric Model Working Group (AMWG) Science Liaison. Supports the development of the Community Atmospheric Model (CAM) and assists the CESM community in all aspects of using the CAM (running the model, science questions, experiments designs). Shares CAM development results with the community (through webpages and presentations at conferences/workshops).

  • Cheryl Craig

    Software Engineer involved in CAM (Community Atmosphere Model) software development.

  • Christina McCluskey

    Aerosol-cloud-climate interactions: improving the representation of aerosol and cloud microphysics in CAM; aircraft-, ground-, and ship-based observations of aerosol and cloud properties; bridging between observations and modeling tools and communities.

  • Courtney Peverley

    Software Engineer involved in CAM (Community Atmosphere Model) software development.

  • Dani Coleman

    Atmospheric model and diagnostics development. Currently a lead on the Model Diagnostic Task Force, which facilitates the inclusion of process-oriented diagnostics from the research community into the model development process. Also interfacing with the AMWG Diagnostic Framework to ensure compatibility between the frameworks and increase usefulness to CESM users of both.

  • Daniel Marsh

    Coming soon...

  • Dave Williamson

    Development and validation of numerical methods for global atmospheric models. Examination and evaluation of atmospheric models and model components in simple environments and in Earth-like simulations with an emphasis on understanding and verifying modeled processes and their interactions.

  • Isaac Davis

    Coming soon...

  • Jack Chen

    Climate impact of aviation emissions, aerosol-cloud-precipitation interactions, gravity wave drag parameterization.

  • Jesse Nusbaumer

    Software Engineer involved in CAM (Community Atmosphere Model) and SIMA (System for Integrated Modeling of the Atmosphere) software development, as well as model diagnostics efforts.  Also does research and development in water isotope modeling. 

  • John Truesdale

    CESM CAM development focusing on improving the parameterization of moist convection in the CAM. Also interested in single column model development and cyclone genesis and climatology.

  • Joseph Tribbia

    The numerical simulation of the atmosphere and geophysically relevant flows. The application of dynamical systems theory in atmospheric dynamics, the problems of atmospheric data analysis and numerical weather prediction, atmospheric predictability and the prediction of forecast reliability, and the simulation and prediction of El Nino/Southern Oscillation and decadal climate projections.

  • Julio Bacmeister

    High-resolution climate simulations with a focus on the role of mesoscale circulations in global climate. Parameterization of convection and mountain flows for climate models.

  • Justin Richling

    My interests are in diagnostics using Python and Jupyter Notebooks. I am involved in the development of the Atmospheric Diagnostic Framework (ADF) which is replacing the AMWG diagnostic package. I am also supporting CAM developers by creating diagnostics for CAM and CESM development runs.

  • Margaret Duffy

    I study the influence of cloud-radiative feedbacks on climate sensitivity, especially in CAM6. I also study the general circulation of the tropical atmosphere and its response to climate change. I am also interested in gender diversity in the geosciences, and have ongoing work on this topic.

  • Meg Fowler

    Land-atmosphere interactions and their influence on climate; evaluation of land-atmosphere coupling strength; subgrid scale behavior of near-surface properties in CAM and communication of SGS information between model components.

  • Mitchell Moncrieff

    Theoretical-dynamical models of organized atmospheric convection; multiscale interaction of tropical convection at the intersection of weather and climate; development of a virtual global field-campaign framework for climate research utilizing global weather prediction products; representation of organized convection in the next generation of climate models.

  • Patrick Callaghan

    Coming soon...

  • Peter Lauritzen

    Dynamical cores for weather and climate models, remapping between spherical grids, advection/transport schemes (in particular, finite-volume methods) for unstructured grid, idealized test cases, limiters/filters for monotonicity, physics-dynamics coupling.

  • Richard Neale

    Development of physical processes in atmospheric models. Analysis of major modes of climate variability including El Nino, the Madden Julian Oscillation, the diurnal cycle of rainfall and the frequency of blocking high-pressure systems.

  • Steve Goldhaber

    Facilitate the study of extended cloud dynamics by creating subgrid-scale cloud objects which persist across time steps. Build infrastructure to allow the grid CAM uses to process parameterizations to be different than the grid used for dynamics.

  • Xingying Huang

    High-order storm hazards predictions and assessments: such as extreme atmospheric rivers (ARs) over the western US Coast. Accelerated hydroclimatic changes and intensifying impacts: e.g., mountainous hydroclimate responses and impacts. Evolution of large-scale climate variabilities and shifting extremes. Storm-resolving GCM and high-resolution modeling.

  • Yang Tian

    Coming soon...