High-resolution aerosol liquid water content in the contiguous United States using machine learning.
- DOI
- 10.1038/s41612-026-01371-2
- Published
- 2026
- Container
- NPJ climate and atmospheric science
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1038/s41612-026-01371-2,
title = {High-resolution aerosol liquid water content in the contiguous United States using machine learning.},
author = {Zhang B and Yin L and Yang Y and Guo H and Xu L and Di Q and Wei Y and Wei J and Pan D and Schwartz J and Ng NL and Weber RJ and Liu P},
year = {2026},
journal = {NPJ climate and atmospheric science},
doi = {10.1038/s41612-026-01371-2},
url = {https://doi.org/10.1038/s41612-026-01371-2}
}RIS
TY - JOUR TI - High-resolution aerosol liquid water content in the contiguous United States using machine learning. AU - Zhang B AU - Yin L AU - Yang Y AU - Guo H AU - Xu L AU - Di Q AU - Wei Y AU - Wei J AU - Pan D AU - Schwartz J AU - Ng NL AU - Weber RJ AU - Liu P PY - 2026 JO - NPJ climate and atmospheric science DO - 10.1038/s41612-026-01371-2 UR - https://doi.org/10.1038/s41612-026-01371-2 ER -
APA
B, Z., L, Y., Y, Y., H, G., L, X., Q, D., Y, W., J, W., D, P., J, S., NL, N., RJ, W., & P, L. (2026). High-resolution aerosol liquid water content in the contiguous United States using machine learning.. NPJ climate and atmospheric science. https://doi.org/10.1038/s41612-026-01371-2
Source records
- pubmed · retrieved 2026-09-25T14:47:59.859Z