Quantifying Dissolved Organic Carbon Dynamics Using a Three‐Dimensional Terrestrial Ecosystem Model at High Spatial‐Temporal Resolutions
- Authors:
-
- Atmospheric Sciences and Global Change DivisionPacific Northwest National Laboratory Richland WA USA, Department of Earth, Atmospheric, and Planetary SciencesPurdue University West Lafayette IN USA
- Department of Earth, Atmospheric, and Planetary SciencesPurdue University West Lafayette IN USA, Department of AgronomyPurdue University West Lafayette IN USA
- Atmospheric Sciences and Global Change DivisionPacific Northwest National Laboratory Richland WA USA
- School of Freshwater SciencesUniversity of Wisconsin‐Milwaukee Milwaukee WI USA
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1579990
- Alternate Identifier(s):
- OSTI ID: 1579992
- Grant/Contract Number:
- DE‐FG02‐08ER64599; DE‐AC05‐76RL01830
- Resource Type:
- Published Article
- Journal Name:
- Journal of Advances in Modeling Earth Systems
- Additional Journal Information:
- Journal Name: Journal of Advances in Modeling Earth Systems; Journal ID: ISSN 1942-2466
- Publisher:
- American Geophysical Union (AGU)
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Liao, Chang, Zhuang, Qianlai, Leung, L. Ruby, and Guo, Laodong. Quantifying Dissolved Organic Carbon Dynamics Using a Three‐Dimensional Terrestrial Ecosystem Model at High Spatial‐Temporal Resolutions. United States: N. p., 2019.
Web. doi:10.1029/2019MS001792.
Liao, Chang, Zhuang, Qianlai, Leung, L. Ruby, & Guo, Laodong. Quantifying Dissolved Organic Carbon Dynamics Using a Three‐Dimensional Terrestrial Ecosystem Model at High Spatial‐Temporal Resolutions. United States. doi:10.1029/2019MS001792.
Liao, Chang, Zhuang, Qianlai, Leung, L. Ruby, and Guo, Laodong. Wed .
"Quantifying Dissolved Organic Carbon Dynamics Using a Three‐Dimensional Terrestrial Ecosystem Model at High Spatial‐Temporal Resolutions". United States. doi:10.1029/2019MS001792.
@article{osti_1579990,
title = {Quantifying Dissolved Organic Carbon Dynamics Using a Three‐Dimensional Terrestrial Ecosystem Model at High Spatial‐Temporal Resolutions},
author = {Liao, Chang and Zhuang, Qianlai and Leung, L. Ruby and Guo, Laodong},
abstractNote = {},
doi = {10.1029/2019MS001792},
journal = {Journal of Advances in Modeling Earth Systems},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {12}
}
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DOI: 10.1029/2019MS001792
DOI: 10.1029/2019MS001792
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