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UID:pretalx-cfp-GAWNQP@global2023.pydata.org
DTSTART:20231207T183000Z
DTEND:20231207T190000Z
DESCRIPTION:Climate change projections and analyses are one of many process
 es that require not only sound scientific approaches\, but also scalable a
 nd efficient algorithms due to the data-intensive nature of climate scienc
 e.\n\n[Xclim](https://xclim.readthedocs.io/en/stable/) is a cutting-edge c
 limate analysis library built using [xarray](https://docs.xarray.dev/en/st
 able/) and [dask](https://www.dask.org/) to solve real problems in climate
  change analysis and processing\, offering tools such as climate model ens
 emble selection and bias adjustment\, climate data health check-ups\, in a
 ddition to the ability to calculate more than 150 relevant climate indicat
 ors over enormous databases.\n\nDeveloped with user-friendliness in mind\,
  Xclim serves as the backbone of Environment and Climate Change Canada's [
 ClimateData.ca](https://climatedata.ca/) platform.\n\nJoin us to explore X
 clim's capabilities and follow a typical workflow\, transforming vast clim
 ate datasets into actionable climate insights.
DTSTAMP:20250709T214716Z
LOCATION:Data Track
SUMMARY:Xclim: Climate Data Processing and Analysis for Everyone - Trevor J
 ames Smith\, Pascal Bourgault
URL:https://global2023.pydata.org/cfp/talk/GAWNQP/
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