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ShareScore release 0.9.0
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3 results for “moisture intrusion”
Arctic Moisture Intrusion Dataset v1 1/2 (1979-1999)
<p>Moisture intrusion tracking algorithm output (1/2) from 1979-1999. Output contains binary files with associated ID numbers of moisture intrusion events and assoicated ERA5 total column water vapor and northward water vapor flux. </p> <p>Dataset 2/2 - 10.5281/zenodo.13984122</p>
Simulation of Moisture intrusions into the Arctic: New insights from a mid-April 2020 case during MOSAiC
<p>This dataset contains the model configuration files and selected output data of the large-eddy simulation experiments as described in the publication "<em>Moisture intrusions into the Arctic: New insights from a mid-April 2020 case during MOSAiC</em>" being submitted to <em>Frontiers in Earth Science (Section Atmospheric Science)</em> </p>
Supporting Dataset for "Synoptic Moisture Intrusion Provided Heavy Isotope Precipitations in Inland Antarctica during the Last Glacial Maximum"
<p><strong>Data used in <a href="https://doi.org/10.1029/2024GL108191" target="_blank" rel="noopener">Kino et al. (2024, GRL)</a> are stored as zip and CSV files.</strong></p> <ul> <li>All data (except for Antarctica_LGM_Proxies.csv) resulted from an isotope-enabled atmospheric general circulation model named "iso-MIROC5" <a href="https://doi.org/10.1029/2018JD029463" target="_blank" rel="noopener">(Okazaki and Yoshimura, 2019, JGR)</a>.</li> <li>Antarctica_LGM_Proxies.csv resulted from Table 1 of <a href="https://www.nature.com/articles/s41467-018-05430-y" target="_blank" rel="noopener">Werner et al. (2018, Nat. Com.)</a> and <a href="https://www.usap-dc.org/view/dataset/601239" target="_blank" rel="noopener">Steig et al. (2020, USAP-DC)</a>.</li> <li>The definition of southward moisture fluxes proposed by <a href="https://journals.ametsoc.org/view/journals/clim/25/21/jcli-d-11-00665.1.xml" target="_blank" rel="noopener">Newman et al. (2012, JC)</a> was adopted.<br>The module of <a href="https://gmd.copernicus.org/articles/13/1179/2020/" target="_blank" rel="noopener">ESMValTool (Righi et al., 2020, GMD)</a> was customized to calculate the Eady growth rate.</li> <li>Scripts are available in a <a href="https://github.com/kanonundgigue/kino2024grl" target="_blank" rel="noopener">GitHub repository</a>.</li> </ul> <p>Sources are available at <a href="https://github.com/kanonundgigue/kino2024grl">https://github.com/kanonundgigue/kino2024grl</a>.</p> <p>If you use data for your work, please ask the author to be a co-author or cite the paper according to data contributions.</p>
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