Wei Ji Leong / Byrd Polar Climate Research Center
Max Jones / CarbonPlan
Agenda:
Joe: Finishing a climate downscaling process on Azure Cloud platform, mostly with scikit-downscale, deep learning using deepSD,
Max: Recently started at CarbonPlan a few weeks ago, getting acquainted with Pangeo/ML ecosystem, first developing on xbatcher, and then building loaders
xbatcher designed to provide batches from a multidimensional dataset to feed into ML model
moving towards a data API to get data loaders from batch generators
roadmap includes ideas about random sampling
torchgeo currently using rasterio more as the backend, allows merging of datasets with different coordinate reference systems using Intersection/UnionDataset
David mentioned American Meteorological Society conference next Jan? Call for papers open. Could have a cloud machine learning oriented session, or something about open datasets? Have a tutorial like in AGU? Or host it independently.
April 4
Attendees
Joe Hamman / CarbonPlan
Zhonghua Zheng / NCAR(ASP)
Tom Augspurger
David John Gagne(NCAR)
Joe: Climate downscaling with lots of sklearn ML models and one DL model. Using prefect and dask, some scale-out issues. Cindy left but new person hired.
May 2
April 4
February 7