Data for "Compensating biases in CCN predictions from composition averaging and neglected surfactant effects"
Dataset Description |
This dataset contains simulation results and scrips from PartMC-MOSAIC and WRF-PartMC that used in the journal article: "Compensating biases in CCN predictions from composition averaging and neglected surfactant effects. Two compressed folder are uploaded here, one is for the data that used in this article, the other folder is the python scripts to process the data. For more details of the uploaded files, please check the README file. |
Subject |
Physical Sciences |
Keywords |
Surfactants; cloud condensation nuclei; effective surface tension; composition averaging; mixing state |
License |
CC0 |
Funder |
U.S. Department of Energy (DOE)-Grant:DE-SC0019192 |
Funder |
U.S. National Science Foundation (NSF)-Grant:1941110 |
Corresponding Creator |
Nicole Riemer |
| Version | DOI | Comment | Publication Date |
|---|---|---|---|
| 1 | 10.13012/B2IDB-7834698_V1 | 2026-06-11 |
Contact the Research Data Service for help interpreting this log.
| Dataset | update: {"all_medusa"=>[nil, true]} | 2026-06-11T17:40:08Z |
| Dataset | update: {"release_date"=>[nil, Thu, 11 Jun 2026], "publication_state"=>["metadata embargo", "released"]} | 2026-06-11T17:30:18Z |
| RelatedMaterial | update: {"note"=>[nil, ""]} | 2026-06-11T17:30:18Z |
| Dataset | update: {"release_date"=>[Thu, 31 Dec 2026, nil]} | 2026-06-11T17:30:18Z |