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Data files for the Kinematic Driver-Aerosol intercomparison

<p>The Kinematic Driver-Aerosol (KiD-A) intercomparison was established to test the hypothesis that detailed warm microphysical schemes provide a benchmark for lower-complexity bulk microphysics schemes. KiD-A is the first intercomparison to compare multiple Lagrangian cloud models (LCMs), size bin-resolved schemes, and double-moment bulk microphysics schemes in a consistent 1D dynamic framework and box cases. The motivation and description of intercomparison, along with overview of the schemes included and the intercomparison results are presented in Hill et al (2023).</p> <p>Here we provide details of the raw data that was produced during the intercomparison by participants and used to generate the results and plots that are discussed in Hill et al (2023).</p> <p>The data for the intercomparison are provided in the kid-a_0d_1d_final_submission.tar.gz. To access the data, untar and unzip the file using</p> <pre><code class="language-bash">$ tar -xzvf kid-a_0d_1d_final_submission.tar.gz</code></pre> <p>Once untarred and unzipped, the following directory structure is available</p> <ul> <li>kid-a_pub/kida_0d_data contains all the data for the 0-D box simulations</li> <li>kid-a_pub/kida_1d_data contains all the data for the 1-D column simulations</li> </ul> <p>Within kida_0d_data and kida_1d_data, there are further directories, which are specific to each submission. Tables 1 and 2 define the directories for each submission, with model names that relate to the model naming in Hill et al. (2023), and a full description of the model types can be found in Hill et al. (2023). The specific&nbsp; directories for each model contain NetCDF output from the KiD model. In addition, some participants also included namelists that were used to run KiD and produce the output. Where this was submitted, these namelist files are also included.</p> <table> <caption>Table 1: Scheme names as defined in Hill et al. (2023), scheme type, and 1-D column model data directory (kida 1d data)</caption> <tbody> <tr> <td>Model</td> <td>Description</td> <td>1-D data directory</td> </tr> <tr> <td>LCM-FH</td> <td>Lagrangian microphysics</td> <td>hoffman_1d_ensemble</td> </tr> <tr> <td>LCM-MA</td> <td>Lagrangian microphysics</td> <td>mirek_lm_1d</td> </tr> <tr> <td>UWLCM</td> <td>Lagrangian microphysics</td> <td>piotr_uw_lcm</td> </tr> <tr> <td>bin2d</td> <td> <p>Eulerian bin scheme</p> </td> <td> <p>lebo_bin2d_solute_tests</p> </td> </tr> <tr> <td>TAU-bin</td> <td>Eulerian bin scheme</td> <td>hill_kida_taubin_results_v2</td> </tr> <tr> <td>MSSG-bin</td> <td>Eulerian bin scheme</td> <td>onishi_mssg_1d_v2</td> </tr> <tr> <td>MG2</td> <td>Two-moment bulk scheme</td> <td>mg2_4th_sub</td> </tr> <tr> <td>CASIM (cond/evap)</td> <td>Two-moment bulk scheme</td> <td>hill_1D_CE_casim_result</td> </tr> <tr> <td>CASIM (precip)</td> <td>Two-moment bulk scheme</td> <td>hill_1D_casim_v0.5</td> </tr> <tr> <td>LIMA</td> <td>Two-moment bulk scheme</td> <td>vie_lima_bulk_kida_results</td> </tr> <tr> <td>LIMA-KK</td> <td>Two-moment bulk scheme</td> <td>vie_limakk_bulk_kida_results</td> </tr> </tbody> </table> <table> <caption>Table 2: Scheme names as defined in Hill et al. (2023), scheme type, and 0-D box model data directory (kida 0d data).</caption> <tbody> <tr> <td>Model</td> <td>Description</td> <td>0-D data directory</td> </tr> <tr> <td>LCM-FH (cond)</td> <td> <p>Lagrangian microphysics</p> </td> <td> <p>hoffman_kida_results/box_cond</p> </td> </tr> <tr> <td>LCM-FH (coll)</td> <td>Lagrangian microphysics</td> <td>hoffman_kida_results/box_coll</td> </tr> <tr> <td>LCM-MA (cond)</td> <td>Lagrangian microphysics</td> <td>mirek_lm_0d/ZERO-D_v1.0/CE</td> </tr> <tr> <td>LCM-MA (coll)</td> <td>Lagrangian microphysics</td> <td>mirek_lm_0d/ZERO-D_v1.0/CO</td> </tr> <tr> <td>UWLCM (coll)</td> <td>Lagrangian microphysics</td> <td>piotr_lm_0d</td> </tr> <tr> <td>bin2d (cond)</td> <td>Eulerian bin scheme</td> <td>lebo_bin2d/cond</td> </tr> <tr> <td>bin2d (coll)</td> <td>Eulerian bin scheme</td> <td>lebo_bin2d/coll</td> </tr> <tr> <td>TAU-bin (cond)</td> <td>Eulerian bin scheme</td> <td>hill_kida_taubin_result/cond</td> </tr> <tr> <td>TAU-bin (coll)</td> <td>Eulerian bin scheme</td> <td>hill_kida_taubin_result/coll</td> </tr> </tbody> </table> <p>&nbsp;</p> <p>Hill, A. A., Lebo, Z. J., Andrejczuk, M., Arabas, S., Dziekan, P., Field, P., Gettelman, A., Hoffmann, F., Pawlowska, H., Onishi, R., &amp; Vi ́e, B. (2023). Toward a Numerical Benchmark for Warm Rain Processes, Journal of the Atmospheric Sciences (published online ahead of print 2023). doi:https://doi.org/10.1175/JAS-D-21-0275.1</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

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

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0