Authors and acknowledgements¶
This document is currently maintained by Philip Brohan (philip.brohan @ metoffice.gov.uk). All criticism should be directed to him - put please don’t send email, raise an issue instead.
All blame should go to the maintainer; credit is more widely distributed - all those listed below have helped. Note that appearance on this list does not mean that the person or organisation named endorses this work, agrees with any of it, or even knows of its existence.
This document was written by Philip Brohan (Met Office). He was funded by the Joint DECC and Defra Integrated Climate Programme, DECC/Defra (GA01101), and by the Climate Science for Service Partnership China
The benchmark problem that this is an attempted solution to is Auto-transcription benchmark 2: Fake data
This is part of a larger program of work on historical climate data coordinated by the International ACRE Program.
This work used the Isambard UK National Tier-2 HPC Service operated by GW4 and the UK Met Office, and funded by EPSRC (EP/P020224/1)
The machine-learning models used for transcription use TensorFlow.
The calculations here make use of GNU Parallel (Tange 2011).
This software is written in python, in an environment configured with conda.
The code and documentation use git and GitHub. The documentation is written with sphinx.