Atmospheric Modeling & Predictability Staff Research
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.
Climate dynamics and variability, including MJO, ENSO, diurnal cycle of convection, propagating precipitation, low-level jets, and global and regional climate model representations of these.
Climate impact of aviation emissions, aerosol-cloud-precipitation interactions, gravity wave drag parameterization.
Atmosphere modeling, currently focused on stochastic parameterizations' effect on climate variability.
Software Engineer involved in CAM (Community Atmosphere Model) software development. Current activities include implementing subcolumns in CAM and Super-Parameterized CAM.
CAM software design. Improving CAM's infrastructure to facilitate adding new physics parameterizations and dynamical cores.
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.
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.
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.
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).
Hsaio Ming, Hsu
Senior Research Associate. In December of 1999, Dr. Kasahara was recognized for his 33 years of service to NCAR.
Cloud and aerosol processes and their influence on the coupled climate system, Polar climate feedbacks and mechanisms for recent Arctic sea ice loss, Evaluation and improvement of climate models using data assimilation and satellite observations/simulators.
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.
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.
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.
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.
Software Engineer on CESM projects involving atmospheric parameterization improvements through diagnosis of hindcast ensembles.
Development and evaluation of cumulus-aerosol interactions in a climate model (CAM) and using ARM/ASR data to investigate Cloud-Aerosol-Precipitation Interactions (CAPI) for convective clouds in a global model (CAM).
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.
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.
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.