AT3D-PART2: Stochastically Generated Clouds
<p>The extinction fields are in netCDF format. They can be read with xarray using python, for example.</p> <p>Associated with:</p> <p>Loveridge, J., Levis, A., Di Girolamo, L., Holodovsky, V., Forster, L., Davis, A. B., and Schechner, Y. Y.: Retrieving 3D distributions of atmospheric particles using Atmospheric Tomography with 3D Radiative Transfer – Part 2: local optimization, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2023-44, in review, 2023</p> <p>Data Generated using:</p> <p>Loveridge, J., Levis, A., Aides, A., Forster, L., and Holodovsky, V.:</p> <p>Atmospheric Tomography with 3D Radiative Transfer, v4.1.2,</p> <p>Zenodo [code], https://doi.org/10.5281/zenodo.7062466, 2022.</p> <p> </p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0
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