EGU22-13028, updated on 28 Mar 2022
https://doi.org/10.5194/egusphere-egu22-13028
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Using a Pangeo platform on Azure to tackle global environmental challenges 

Timothy Lam1, Alberto Arribas2,4, Gavin Shaddick3, Theo McCaie5, and Jennifer Catto3
Timothy Lam et al.
  • 1Centre for Doctoral Training in Environmental Intelligence, University of Exeter, Exeter, UK
  • 2Department of Meteorology, University of Reading, Reading, UK
  • 3College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK
  • 4Microsoft, Reading, UK
  • 5Informatics Lab, Met Office, Exeter, UK

The Pangeo project enables interactive, reproducible and scalable environmental research to be carried out using an integrated data-computational platform. Here we demonstrate a few examples that utilise a Pangeo platform on Microsoft Azure supported by the Met Office where global environmental challenges are explored and tackled collaboratively. They include: (1) Analysing and quantifying drivers of low rainfall anomalies during boreal summer in Indonesian Borneo using causal inference and causal network to identify key teleconnections, and their possible changes under a warming climate, which will contribute to seasonal forecasting efforts to strengthen prevention and control of drought and fire multihazards over peatlands in the study region; (2) Quantifying and communicating uncertainty in volcanic ash forecasts; and (3) Exploring the cascading effects that follow the degradation and recovery of Caribbean coral reefs.

How to cite: Lam, T., Arribas, A., Shaddick, G., McCaie, T., and Catto, J.: Using a Pangeo platform on Azure to tackle global environmental challenges , EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13028, https://doi.org/10.5194/egusphere-egu22-13028, 2022.

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