PBL height from random forest, random forest classifier and lightGBM ML models.
Abstract
PBL height from random forest, random forest classifier and lightGBM ML models.
- Authors:
- Publication Date:
- DOE Contract Number:
- AC05-00OR22725
- Research Org.:
- Atmospheric Radiation Measurement User Facility
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Collaborations:
- PNNL, BNL, ANL, ORNL
- Subject:
- LightGBM ML models; Machine Learning; PBL HT; Planetary Boundary Layer; Random Forest; pblhtbeml
- OSTI Identifier:
- 2575083
- DOI:
- https://doi.org/10.5439/2575083
Citation Formats
Zhang, Damao, Levin, Maxwell, Goldberger, Lexie, and Shupe, Matthew. PBL height from random forest, random forest classifier and lightGBM ML models.. United States: N. p., 2025.
Web. doi:10.5439/2575083.
Zhang, Damao, Levin, Maxwell, Goldberger, Lexie, & Shupe, Matthew. PBL height from random forest, random forest classifier and lightGBM ML models.. United States. doi:https://doi.org/10.5439/2575083
Zhang, Damao, Levin, Maxwell, Goldberger, Lexie, and Shupe, Matthew. 2025.
"PBL height from random forest, random forest classifier and lightGBM ML models.". United States. doi:https://doi.org/10.5439/2575083. https://www.osti.gov/servlets/purl/2575083. Pub date:Fri Oct 10 04:00:00 UTC 2025
@article{osti_2575083,
title = {PBL height from random forest, random forest classifier and lightGBM ML models.},
author = {Zhang, Damao and Levin, Maxwell and Goldberger, Lexie and Shupe, Matthew},
abstractNote = {PBL height from random forest, random forest classifier and lightGBM ML models.},
doi = {10.5439/2575083},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Oct 10 04:00:00 UTC 2025},
month = {Fri Oct 10 04:00:00 UTC 2025}
}
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