Christopher Fletcher

Training for novel directions in quantitative climate science

Principal investigators: Stastna, Marek M

Keywords: data science; earth system modeling; high performance computing; machine learning; meterorology; oceanography

Developing methods and tools for the science applications of the new Canadian satellite high-altitude aerosols, water vapour and clouds (HAWC)

Principal investigators: Huang, Yi Y

Keywords: aerosol; climate change; climate feedback; climate modelling; cloud; earth observing satellite; extreme weather; radiative forcing; water vapour; weather prediction

Using statistical learning to build better Earth System Models

Principal investigators: Fletcher, Christopher

Keywords: earth system modelling; climate change; machine-learning; uncertainty quantification; climate projection; perturbed parameters; climate forcing; climate feedbacks

Machine learning to improve assimilation of snow observations for (sub)seasonal hydrologic forecasts

Principal investigators: Fletcher, Christopher

The Canadian sea ice and snow evolution (CanSISE) network

Principal investigators: Kushner, Paul

NETCARE - Network on climate and aerosols: Addressing key uncertainties in remote Canadian environments

Principal investigators: Abbatt, Jonathan

Atmospheric circulation patterns in warmer worlds

Principal investigators: Fletcher, Christopher