Deep Learning Optimizes Data-Driven Representation of Soil Organic Carbon in Earth System Model Over the Conterminous United States
- DOI
- 10.3389/fdata.2020.00017
- Published
- 2020-06-03
- Container
- Frontiers in Big Data
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fdata.2020.00017,
title = {Deep Learning Optimizes Data-Driven Representation of Soil Organic Carbon in Earth System Model Over the Conterminous United States},
author = {Feng Tao and Zhenghu Zhou and Yuanyuan Huang and Qianyu Li and Xingjie Lu and Shuang Ma and Xiaomeng Huang and Yishuang Liang and Gustaf Hugelius and Lifen Jiang and Russell Doughty and Zhehao Ren and Yiqi Luo},
year = {2020},
journal = {Frontiers in Big Data},
doi = {10.3389/fdata.2020.00017},
url = {https://doi.org/10.3389/fdata.2020.00017}
}RIS
TY - JOUR TI - Deep Learning Optimizes Data-Driven Representation of Soil Organic Carbon in Earth System Model Over the Conterminous United States AU - Feng Tao AU - Zhenghu Zhou AU - Yuanyuan Huang AU - Qianyu Li AU - Xingjie Lu AU - Shuang Ma AU - Xiaomeng Huang AU - Yishuang Liang AU - Gustaf Hugelius AU - Lifen Jiang AU - Russell Doughty AU - Zhehao Ren AU - Yiqi Luo PY - 2020 JO - Frontiers in Big Data DO - 10.3389/fdata.2020.00017 UR - https://doi.org/10.3389/fdata.2020.00017 ER -
APA
Tao, F., Zhou, Z., Huang, Y., Li, Q., Lu, X., Ma, S., Huang, X., Liang, Y., Hugelius, G., Jiang, L., Doughty, R., Ren, Z., & Luo, Y. (2020). Deep Learning Optimizes Data-Driven Representation of Soil Organic Carbon in Earth System Model Over the Conterminous United States. Frontiers in Big Data. https://doi.org/10.3389/fdata.2020.00017
Source records
- crossref · retrieved 2026-09-25T21:10:24.710Z