CGD Affiliate Scientists

The development and evaluation of process-based hydrologic models, understanding the sensitivity of water resources to climate variability and change, and developing the next generation streamflow forecasting systems.

Development and application of land-surface models, studies of the impact of land surface variability on the predictability of climate, interactions between the terrestrial and atmospheric branches of the hydrologic cycle, and the impacts of land use change on regional and global climate.

Cloud and Convective Processes in the Atmospheric General Circulation.

Climate change with a focus on stratosphere-troposphere interactions, the chemistry-climate problem, and process-oriented model evaluation and diagnosis.

Motivated by the potential for the biosphere to generate large feedbacks to climate change, via changes in CO₂ balance, evaporation and trace gas emissions.

Climate modeling, general circulation models, ocean thermohaline circulation, model ensembles, paleoclimate modeling.

Theory and parameterization of clouds in the atmosphere, including boundary layer clouds such as cumulus and stratocumulus, midlevel clouds such as altocumulus and altostratocumulus, and deep convective clouds.

Centres on past climate change, with a focus on understanding how and why climate has changed in the past, and what we can learn about the future from the past.

How the ocean influences climate variability and climate change, with an eye toward applying our understanding of coupled ocean-atmosphere processes to the analysis and improvement of interannual to decadal climate predictions

Atmospheric and climate dynamics, geophysical fluid dynamics, numerics for weather and climate modeling, planetary atmospheres.

Southern Hemisphere (SH) atmospheric dynamics and climate change and her major scientific goals are to characterize the Antarctic sea ice variability and to define and understand the interaction between Antarctic sea ice and the large-scale Southern Hemisphere circulation, focusing on interaction at the seasonal, interannual and decadal time scales.

Feedbacks and climate sensitivity, climate impacts, machine learning, uncertainty quanti cation, geo-engineering, extreme precipitation.

Area of expertise is the Atmospheric Boundary Layer. Collaborative research on the development of boundary layer and surface interaction modules for future versions of the Community Atmosphere Model.

Collaborative research on topics related to dynamical understanding of recent climate trends and projected changes based on the CESM "Large Ensemble". Advancing CAS community projects such as the Climate Data Guide and the Climate Variability Diagnostics Package.