From 8d5e300ca7d999810e8c538b1c647df3b4e757b6 Mon Sep 17 00:00:00 2001 From: KirstyPringle Date: Mon, 26 Aug 2024 08:49:15 +0100 Subject: [PATCH] Update index.html --- acknowledgements/index.html | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/acknowledgements/index.html b/acknowledgements/index.html index 28aa3d5..d5f2463 100644 --- a/acknowledgements/index.html +++ b/acknowledgements/index.html @@ -127,10 +127,10 @@

Acknowledgements

The project is a collaboration between the University of Edinburgh (EPCC), the University of Leeds (School of Earth and Environment), the Software Sustainability Institute, the UK Met Office and North Carolina State University.

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These images were produced by: Kirsty Pringle, Jim McQuaid, Richard Rigby, Steve Turnock, Carly Reddington, Meruyert Sha, Malcolm Illingworth, Denis Barclay, Douglas Hamilton and Ethan Brain.

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These images were produced by: Kirsty Pringle, Jim McQuaid, Richard Rigby, Steve Turnock, Carly Reddington, Meruyert Shayakhmetova, Malcolm Illingworth, Denis Barclay, Douglas Hamilton and Ethan Brain.

We are grateful for the support provided by the Software Sustainability Institute and EPCC and volunteer effort provided through Access Data - Access to Industry.

Many thanks to Ed Hawkins for advice and guidance, and for the original stripes!

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Thanks also to Alex Pringle for his geographical expertise and to the many colleagues who have contributed ideas and opinions to improve these images.


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Thanks also to Alex Pringle for his geographical expertise and to the many colleagues who have contributed ideas and opinions to improve these images and to the many researchers to worked to generate the model and satellite data that these images are based on.


This work used JASMIN, the UK’s collaborative data analysis environment (https://www.jasmin.ac.uk)

Lawrence, B. N. , Bennett, V. L., Churchill, J., Juckes, M., Kershaw, P., Pascoe, S., Pepler, S., Pritchard, M. and Stephens, A. (2013) Storing and manipulating environmental big data with JASMIN. In: IEEE Big Data, October 6-9, 2013, San Francisco.