Focus on problems in large scale atmospheric dynamics, and on the predictability of the coupled ocean-atmosphere system. Work to characterize the processes that organize midlatitude tropospheric variability on monthly and longer timescales - influence of land-sea contrasts, the synoptic eddies and tropical sea surface temperature anomalies. Prominent intrinsic modes of variability of the atmosphere; quasi-linear models, stochastic methods, the fluctuation dissipation theorem, and analog techniques.
Diagnostic analysis of observed and modelled global climate variability in the coupled atmosphere-ocean-ice-land system on diurnal to centennial time scales and future climate change; causes and consequences of Arctic sea ice loss, uncertainty in climate change projections, the El Niño - Southern Oscillation phenomenon, the North Atlantic Oscillation, and the Pacific Decadal Oscillation.
NCAR's Climate Data Guide, NCAR's Climate Variability Diagnostics Package; diagnostic studies of the observed global energy and water budgets under climate variability and change; assessments of simulations of these budgets by global coupled models (NCAR’s Large and Last Millennium Ensembles, CMIP3, CMIP5).
Empirical and modeling studies and diagnostic analyses to better understand climate, climate variability and climate change.
Empirical studies of Rossby-Haurwitz normal modes
NCAR's Climate Variability Diagnostics Package, climate variability, the simulated climate of coupled models, and the regional effects of climate change.
Diagnostic analyses of climate variability in the Antarctic; paleoclimate of the last millennium in the polar regions; evaluation of climate models.
Hurricane climatology and structure, long-range predictability, atmospheric angular momentum, the El Nino/Southern Oscillation, analyses of ocean data and, the 11-year Sunspot Cycle effects on the atmosphere.
Large scale atmospheric dynamics and its representation in global climate models. Work to understand dynamical mechanisms involved in the variability and change of the large scale circulation and its impacts on regional climate and hydroclimate using a hierarchy of modelling approaches. Aim to determine the extent which models can successfully capture the processes of relevance for the real atmosphere and how they can be improved.
All aspects of climate variability and climate change research; global energy and water cycles and how they are changing; empirical studies and quantitative diagnostic calculations.
Global energy and water cycles, climate variability and climate change over the Tibetan Plateau, regional climate downscaling, air quality and mesoscale weather modeling using WRF-Chem, effects of aerosols on climate, surface hydrological analyses using WRF-Hydro.