Title:
Ocean Model Diagnostics with Big Data

Description:
Oceanography and climate science is experiencing a rapid growth in both observational data and numerical model output. The tools and workflows professional researchers and students currently use are not keeping pace with this growth. Recent additions to the Python data stack, such as xarray and dask, provide a way to enable scientists to work with the ever-increasing size of datasets.



Presenter(s):
 Speaker: James Munroe, Memorial University of Newfoundland