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You do you

You do you

How next-gen data platforms stop weather and climate scientists from being software engineers and focus on science.
Go to the profile of Theo McCaie
Theo McCaie
Metadata Queries

Metadata Queries

Another option for user interactions with large datasets
Go to the profile of Peter Killick
Peter Killick
Probabilistic programming for event detection

Probabilistic programming for event detection

Imagine you are a scientist, studying a particular kind of event: perhaps a volcanic eruption or a lightning strike. You have some data in…
Go to the profile of Rachel Prudden
Rachel Prudden
Representing thousands of NetCDF Files using TileDB

Representing thousands of NetCDF Files using TileDB

This blog post supports a poster that I presented at AGU2020. You can find the poster here. Note: the QR code in the poster links to this…
Go to the profile of Peter Killick
Peter Killick
Azure ML: First Impressions

Azure ML: First Impressions

My first impressions opinions running a Climate Science ML project on Azure ML.
Go to the profile of Stephen Haddad
Stephen Haddad
XBT Project Summary — Using Machine Learning to infer missing metadata in Climate Science Datasets

XBT Project Summary — Using Machine Learning to infer missing metadata in Climate Science Datasets

Background and Data
Go to the profile of Stephen Haddad
Stephen Haddad
Grey new world

Grey new world

There is a grey area between open source and proprietary platforms and in here might be the sweet spot for data science platforms.
Go to the profile of Theo McCaie
Theo McCaie
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