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Outputs of the Jupyter Notebook - Concatenating a gridded rainfall reanalysis dataset into a time series

<p>The dataset contains the outputs of the notebook &quot;Concatenating a gridded rainfall reanalysis dataset into a time series&quot;&nbsp;published in The Environmental Data Science Book.</p> <p><strong>Contributions</strong></p> <p><em>Notebook</em></p> <ul> <li> <p>Timothy Lam (author), University of Exeter,&nbsp;<a href="https://github.com/timo0thy">@timo0thy</a></p> </li> <li> <p>Marlene Kretschmer (author), University of Reading,&nbsp;<a href="https://github.com/MarleneKretschmer">@MarleneKretschmer</a></p> </li> <li> <p>Samantha Adams (author), Met Office Informatics Lab,&nbsp;<a href="https://github.com/svadams">@svadams</a></p> </li> <li> <p>Rachel Prudden (author), Met Office Informatics Lab,&nbsp;<a href="https://github.com/RPrudden">@RPrudden</a></p> </li> <li> <p>Elena Saggioro (author), University of Reading,&nbsp;<a href="https://github.com/ESaggioro">@ESaggioro</a></p> </li> <li> <p>Nick Homer (reviewer), University of Edinburgh,&nbsp;<a href="https://github.com/NHomer">@NHomer</a></p> </li> <li> <p>Alejandro Coca-Castro (reviewer), The Alan Turing Institute,&nbsp;<a href="https://github.com/acocac">@acocac</a></p> </li> </ul> <p><em>Dataset originator/creator</em></p> <ul> <li> <p>NOAA National Center for Environmental Prediction (creator)</p> </li> </ul> <p><em>Dataset authors</em></p> <ul> <li> <p>Eugenia Kalnay, Director, NCEP Environmental Modeling Center</p> </li> </ul> <p><em>Dataset documentation</em></p> <ul> <li> <p>E.&nbsp;Kalnay, M.&nbsp;Kanamitsu, R.&nbsp;Kistler, W.&nbsp;Collins, D.&nbsp;Deaven, L.&nbsp;Gandin, M.&nbsp;Iredell, S.&nbsp;Saha, G.&nbsp;White, J.&nbsp;Woollen, Y.&nbsp;Zhu, M.&nbsp;Chelliah, W.&nbsp;Ebisuzaki, W.&nbsp;Higgins, J.&nbsp;Janowiak, K.&nbsp;C. Mo, C.&nbsp;Ropelewski, J.&nbsp;Wang, A.&nbsp;Leetmaa, R.&nbsp;Reynolds, Roy Jenne, and Dennis Joseph. The ncep/ncar 40-year reanalysis project.&nbsp;Bulletin of the American Meteorological Society, 77(3):437 &ndash; 472, 1996. URL:&nbsp;<a href="https://journals.ametsoc.org/view/journals/bams/77/3/1520-0477_1996_077_0437_tnyrp_2_0_co_2.xml">https://journals.ametsoc.org/view/journals/bams/77/3/1520-0477_1996_077_0437_tnyrp_2_0_co_2.xml</a>,&nbsp;<a href="https://doi.org/10.1175/1520-0477(1996)077%3C0437:TNYRP%3E2.0.CO;2">doi:10.1175/1520-0477(1996)077&lt;0437:TNYRP&gt;2.0.CO;2</a>.</p> </li> </ul> <p><em>Pipeline documentation</em></p> <ul> <li> <p>Marlene Kretschmer, Samantha&nbsp;V. Adams, Alberto Arribas, Rachel Prudden, Niall Robinson, Elena Saggioro, and Theodore&nbsp;G. Shepherd. Quantifying causal pathways of teleconnections.&nbsp;Bulletin of the American Meteorological Society, 102(12):E2247 &ndash; E2263, 2021. URL:&nbsp;<a href="https://journals.ametsoc.org/view/journals/bams/102/12/BAMS-D-20-0117.1.xml">https://journals.ametsoc.org/view/journals/bams/102/12/BAMS-D-20-0117.1.xml</a>,&nbsp;<a href="https://doi.org/10.1175/BAMS-D-20-0117.1">doi:10.1175/BAMS-D-20-0117.1</a>.</p> </li> </ul>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

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