Organising a collaborative online hackathon for cutting‐edge climate research

James Thomas; Emma J. Stone; Dann M. Mitchell; William Seviour; Clair Barnes; Hannah Bloomfield; Julia Crook; Hayley Jones; Calum Macleod

doi:10.1002/wea.4199

Organising a collaborative online hackathon for cutting‐edge climate research

James Thomas^*, Emma J. Stone, Dann M. Mitchell, William Seviour, Clair Barnes, Hannah Bloomfield, Julia Crook, Hayley Jones, Calum Macleod

^*Corresponding author for this work

Research output: Contribution to journal › Article (Academic Journal) › peer-review

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Abstract

The 2021 Met Office Climate Data Challenge hackathon series provided a valuable opportunity to learn best practice from the experience of running online hackathons uniquely characterised by the challenges faced by climate data science in the wake of the COVID-19 pandemic. In particular, the University of Bristol CMIP6 Data Hackathon with over 100 participants from the United Kingdom highlights the advantages of participating in such events as well as lessons learned. A suggested methodology to structure, plan, promote and ensure longevity of the hackathon outputs is described ensuring smoother running of future events.

Original language	English
Pages (from-to)	221-226
Number of pages	6
Journal	Weather
Volume	77
Issue number	6
Early online date	5 Apr 2022
DOIs	https://doi.org/10.1002/wea.4199
Publication status	E-pub ahead of print - 5 Apr 2022
Event	CMIP6 Data Hackathon - Online Duration: 2 Jun 2021 → 4 Jun 2021 https://cmip6moap.github.io/

Bibliographical note

Funding Information:
The 2021 Climate Data Challenge hackathon series, including the events hosted by Met Office Academic Partnership (MOAP) universities, was supported by the Met Office. We thank the JASMIN data analysis facility and team for providing support, computing services and access to the CMIP6 and other datasets via the CEDA Archive. We are also grateful for data science and administrative support provided by the Jean Golding and Cabot Institutes, University of Bristol.

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title = "Organising a collaborative online hackathon for cutting‐edge climate research",

abstract = "The 2021 Met Office Climate Data Challenge hackathon series provided a valuable opportunity to learn best practice from the experience of running online hackathons uniquely characterised by the challenges faced by climate data science in the wake of the COVID-19 pandemic. In particular, the University of Bristol CMIP6 Data Hackathon with over 100 participants from the United Kingdom highlights the advantages of participating in such events as well as lessons learned. A suggested methodology to structure, plan, promote and ensure longevity of the hackathon outputs is described ensuring smoother running of future events. ",

author = "James Thomas and Stone, {Emma J.} and Mitchell, {Dann M.} and William Seviour and Clair Barnes and Hannah Bloomfield and Julia Crook and Hayley Jones and Calum Macleod",

note = "Funding Information: The 2021 Climate Data Challenge hackathon series, including the events hosted by Met Office Academic Partnership (MOAP) universities, was supported by the Met Office. We thank the JASMIN data analysis facility and team for providing support, computing services and access to the CMIP6 and other datasets via the CEDA Archive. We are also grateful for data science and administrative support provided by the Jean Golding and Cabot Institutes, University of Bristol. ; CMIP6 Data Hackathon ; Conference date: 02-06-2021 Through 04-06-2021",

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doi = "10.1002/wea.4199",

language = "English",

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AU - Stone, Emma J.

AU - Mitchell, Dann M.

AU - Seviour, William

AU - Barnes, Clair

AU - Bloomfield, Hannah

AU - Crook, Julia

AU - Jones, Hayley

AU - Macleod, Calum

N1 - Funding Information: The 2021 Climate Data Challenge hackathon series, including the events hosted by Met Office Academic Partnership (MOAP) universities, was supported by the Met Office. We thank the JASMIN data analysis facility and team for providing support, computing services and access to the CMIP6 and other datasets via the CEDA Archive. We are also grateful for data science and administrative support provided by the Jean Golding and Cabot Institutes, University of Bristol.

PY - 2022/4/5

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N2 - The 2021 Met Office Climate Data Challenge hackathon series provided a valuable opportunity to learn best practice from the experience of running online hackathons uniquely characterised by the challenges faced by climate data science in the wake of the COVID-19 pandemic. In particular, the University of Bristol CMIP6 Data Hackathon with over 100 participants from the United Kingdom highlights the advantages of participating in such events as well as lessons learned. A suggested methodology to structure, plan, promote and ensure longevity of the hackathon outputs is described ensuring smoother running of future events.

AB - The 2021 Met Office Climate Data Challenge hackathon series provided a valuable opportunity to learn best practice from the experience of running online hackathons uniquely characterised by the challenges faced by climate data science in the wake of the COVID-19 pandemic. In particular, the University of Bristol CMIP6 Data Hackathon with over 100 participants from the United Kingdom highlights the advantages of participating in such events as well as lessons learned. A suggested methodology to structure, plan, promote and ensure longevity of the hackathon outputs is described ensuring smoother running of future events.

U2 - 10.1002/wea.4199

DO - 10.1002/wea.4199

M3 - Article (Academic Journal)

SN - 0043-1656

VL - 77

SP - 221

EP - 226

JO - Weather

JF - Weather

IS - 6

T2 - CMIP6 Data Hackathon

Y2 - 2 June 2021 through 4 June 2021

ER -

Organising a collaborative online hackathon for cutting‐edge climate research

Abstract

Bibliographical note

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