Publications

My research combines atmospheric observations, stable isotopes, remote sensing, inverse modeling, process-based models, and artificial intelligence to better understand and predict the global methane cycle.

Google Scholar

⭐ Lead, corresponding, or advising author
🤖 Artificial intelligence and machine learning

Under Review

1. ⭐ Smith, C. C. R., Chen, S., Malone, S. L., McNicol, G., Zhu, Q., Liu, L., and Oh, Y.
   “Integrating machine learning with a process-based model for estimating global wetland methane emissions.”
   Geophysical Research Letters, under review. 🤖 Preprint

2. Wang, S., Liu, J., Kasa, K., Oh, Y., and Ryu, Y.
   “High-resolution daily wetland methane flux estimation via temperature-hysteresis-informed deep learning.”
   Remote Sensing of Environment, under review. 🤖

3. Dong, R., Sun, Y., Qiu, C., Chen, S., Oh, Y., Liu, L., Xie, Y., and Jia, X.
   “From Coarse Grids to Sparse Chambers: Simulation–Observation Integrated Learning for Global Methane Uptake Prediction.”
   Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2027), AI4Science Track, under review. 🤖

4. Rozmiarek, K. S., Liu, X., Oh, Y., Overeem, I., Miller, E. A., Morris, V., Vaughn, B. H., Walter Anthony, K. M., and coauthors.
   “Controls on ¹³C-CH₄ from Arctic thermokarst lakes.”
   Journal of Geophysical Research: Biogeosciences, under review.

5. Qi, Y., Ying, Q., Poulter, B., Jackson, R. B., Knox, S. H., Li, F., Oh, Y., and coauthors.
   “Critical challenges in extending regional machine-learning models of wetland CH₄ fluxes to the global scale.”
   Global Biogeochemical Cycles, under review. 🤖

6. Sun, Y., Yu, R., Dong, R., Chen, S., Liu, L., Oh, Y., Zhuang, Q., Xie, Y., and Jia, X.
   “Role-aware conditional inference for spatiotemporal ecosystem carbon flux prediction.”
   ACM SIGKDD Conference on Knowledge Discovery and Data Mining, AI for Science Track, under review. 🤖 Preprint

7. Wu, Q., Gu, K., Peng, B., Zhu, Q., Tang, J., Jia, X., Kumar, K., Chen, M., Lou, C., Oh, Y., and Liu, L.
   “Constraining global wetland CH₄ emissions from sparse observations with a Bridge Model framework.”
   Communications Earth & Environment, under review. 🤖

8. Chen, S., Zhu, Q., Liu, L., Zheng, J., Jia, X., Malhotra, A., Metzger, S., Oh, Y., and coauthors.
   “Next-generation monitoring and modeling of wetland methane dynamics through artificial intelligence.”
   Communications Earth & Environment, under review. 🤖

9. Watts, J. D., Gewirtzman, J., Cadillo-Quiroz, H., Sihi, D., Tang, R., West, J., Leshyk, V., Burba, G., Davidson, E., Helbig, M., Malhotra, A., Matthes, J., Oh, Y., and coauthors.
   “Terrestrial methane oxidation: Climate implications and research priorities.”
   Nature Reviews Earth & Environment, under review.

10. Wagh, S., Basso, L. S., Fleischmann, A. F., Fernandes Amaral, J. H., Melack, J., Larvic, J., Walter, D., Hantson, S., Marshall, J., Wilson, C., Oh, Y., Bruhwiler, L., Miller, J. B., Vigouroux, C., RÃdenbeck, C., and Botía, S.
    “The Added Value of Amazon Observations to Estimate Methane Budget over South American River Basins in a Global Inversion System.”
    Atmospheric Chemistry and Physics, under review. EGUsphere preprint

11. Gaubert, B., and coauthors, including Oh, Y.
    “Tropospheric Oxidation Chemistry and Methane Growth: A Process-Based Attribution of OH Variability (2003-2022).”
    Atmospheric Chemistry and Physics, under review.
    EGUsphere preprint

12. Rosan, T. M., Basso, L. S., Botía, S., Pan, N., Zimbres, B., Silva, C., Silva-Junior, C. H., von Randow, C., Ometto, J. P., Aragão, L. E. O. C., Martinez, A., Ito, A., Arneth, A., Fendrich, A., Jain, A., Valade, A., van der Woude, A., Poulter, B., Gómez-Ortiz, C., Wilson, C., Schwingshackl, C., Gloor, E., Monier, E., Kato, E., Tian, H., Harman, I., Luijkx, I. T., East, J. D., Souza, J. G., Melton, J. R., Canadell, J. G., Rosentreter, J. A., Aas, K. S., Ma, L., Bruhwiler, L. P., Balzarolo, M., Chiriacò, M. V., Juillard, M., O’Sullivan, M., Ciais, P., Friedlingstein, P., Sun, Q., Lauerwald, R., Hancock, S. E., Diez, S., Smallman, T. L., Yazbeck, T., Colligan, T., Kleinen, T., Nützel, T., Eames, T., Brovkin, V., Heinrich, V., Yuan, W., Peters, W., Xu, Y., Villalobos, Y., Oh, Y., Gao, Y., Deng, Z., and Sitch, S.
    “The South American Greenhouse Gas Budget (2010-2024).” Journal of Geophysical Research: Biogeosciences, under review.

2026

1. ⭐ Oh, Y., Bruhwiler, L., Lan, X., Halder, S., Riddell-Young, B., Basu, S., Miller, J., Michel, S., Schuldt, K., Andrews, A., and coauthors.
   “Isotopic constraints in methane inversions reveal larger wetland emissions with improved linkage to terrestrial water storage.”
   Nature Communications, 2026.
   doi:10.1038/s41467-026-74777-4

2. ⭐ Oh, Y., Liu, L., Lee, J., Bruhwiler, L., Lan, X., Michel, S., Basu, S., Miller, J., Zhu, Q., Malone, S. L., McNicol, G., and Zhuang, Q.
   “Revising the magnitude and trends of the global methane soil sink with process-based, machine-learning, and atmospheric inversion modeling approaches.”
   Journal of Geophysical Research: Biogeosciences, invited article, 2026. 🤖
   doi:10.1029/2025JG009668

3. Zhu, Q., Arndt, K. A., Yuan, K., Li, F., Ying, Q., Liu, L., Ward, E., Malhotra, A., Zheng, J., Yuan, F., Malone, S. L., McNicol, G., Knox, S. H., and coauthors, including Oh, Y.
   “Multi-decadal dynamics of wetland methane emissions revealed by knowledge-guided machine learning.”
   Global Change Biology, 2026. 🤖
   doi:10.1111/gcb.70899

4. Dong, R., Jia, X., Sun, Y., Liu, L., Oh, Y., and Chen, S.
   “CHAM-net: A contrastive hierarchical adaptive meta-network for robust global methane flux prediction.”
   International Joint Conference on Artificial Intelligence, accepted. 🤖

5. Sun, Y., Chen, S., Qiu, C., Liu, L., Oh, Y., Malone, S. L., McNicol, G., Zhuang, Q., Smith, C. C. R., Xie, Y., and Jia, X.
   “X-MethaneWet: A cross-scale global wetland methane emission benchmark dataset for advancing science discovery with AI.”
   KDD 2026 Datasets and Benchmark Track, 2026. 🤖
   doi:10.1145/3770854.3785682

6. Ibarra-Espinosa, S., Hu, L., Harkins, C., McDonald, B., Miller, S., Oh, Y., Bruhwiler, L., Sweeney, C., and Andrews, A.
   “Reduced U.S. methane emissions during the COVID-19 pandemic.”
   Environmental Science: Atmospheres, 2026.
   doi:10.1039/D6EA00004E

2025

1. Mirrezaei, M. A., Gaubert, B., Arellano, A. F., Fernandez, R. P., Ortega, I., Emmons, L. K., Kinnison, D., Roozitalab, B., McCain, K., Bruhwiler, L., Oh, Y., and coauthors.
   “Toward realistic prognostic modeling of the methane chemical loss.”
   Journal of Geophysical Research: Atmospheres, 2025.
   doi:10.1029/2025JD045079

2. Riddell-Young, B., Michel, S., Lan, X., Tans, P., Röckmann, T., Dasgupta, B., Oh, Y., Bruhwiler, L., Fujita, R., Umezawa, T., Morimoto, S., and Miller, J.
   “Microbial driver of 2006–2023 CH₄ growth indicated by trends in atmospheric δD-CH₄ and δ¹³C-CH₄.”
   Proceedings of the National Academy of Sciences, 2025.
   doi:10.1073/pnas.2516543122

3. Kuhn, M., Olefeldt, D., Arndt, K. A., Bastviken, D., Bruhwiler, L., Crill, P., DelSontro, T., Fluet-Chouinard, E., Grosse, G., Hovemyr, M., and coauthors, including Oh, Y.
   “Current and future methane emissions from Boreal-Arctic wetlands and lakes.”
   Nature Climate Change, 2025.
   doi:10.1038/s41558-025-02413-y

4. Hu, L., Andrews, A., Montzka, S., Miller, S., Bruhwiler, L., Oh, Y., Sweeney, C., McKain, K., Ibarra-Espinosa, S., Davis, K., and coauthors.
   “An unexpected seasonal cycle in U.S. oil and gas methane emissions.”
   Environmental Science & Technology, 2025.
   doi:10.1021/acs.est.4c14090

5. ⭐ Oh, Y., Bruhwiler, L., Lan, X., Basu, S., Schuldt, K., Thoning, K., Michel, S., and coauthors.
   “CarbonTracker CH₄ 2025.”
   NOAA Global Monitoring Laboratory, 2025.
   doi:10.25925/hxks-v755

6. Welp, L., Oh, Y., Griffis, T., and Yu, Z.
   “Isotopes of modern atmospheric greenhouse gases: Improving understanding of climate-change feedbacks.”
   In Treatise on Geochemistry, Third Edition, Volume 3, 2025.
   doi:10.1016/B978-0-323-99762-1.00125-X

7. Ying, Q., Poulter, B., Watts, J. D., Arndt, K. A., Virkkala, A., Bruhwiler, L., Oh, Y., Rogers, B. M., Natali, S. M., Sullivan, H., and coauthors.
   “WetCH₄: A machine-learning-based upscaling of methane fluxes of northern wetlands during 2016–2022.”
   Earth System Science Data, 2025. 🤖
   doi:10.5194/essd-17-2507-2025

2024

1. Lyu, Z., Sommers, P., Schmidt, S. K., Magnani, M., Cimpoiasu, M., Kuras, O., Zhuang, Q., Oh, Y., de la Fuente, M., Cramm, M., and Bradley, J. A.
   “Seasonal dynamics of Arctic soils: Capturing year-round processes in measurements and soil biogeochemical models.”
   Earth-Science Reviews, 254, 104820, 2024.
   doi:10.1016/j.earscirev.2024.104820

2. Treat, C., Virkkala, A., Burke, E., Bruhwiler, L., Chatterjee, A., Fisher, J., Hashemi, J., Parmentier, F., Rogers, B. M., Westermann, S., Watts, J., and coauthors, including Oh, Y.
   “Permafrost carbon: Progress in understanding controls, stocks, and fluxes across terrestrial ecosystems.”
   Journal of Geophysical Research: Biogeosciences, invited review, 2024.
   doi:10.1029/2023JG007638

2023

1. ⭐ Oh, Y., Bruhwiler, L., Lan, X., Basu, S., Schuldt, K., Thoning, K., Michel, S., and coauthors.
   “CarbonTracker CH₄ 2023.”
   NOAA Global Monitoring Laboratory, 2023.
   doi:10.25925/40JT-QD67

2. D’Imperio, L., Li, B., Tiedje, J. M., Oh, Y., Christiansen, J. R., Kepfer-Rojas, S., Westergaard-Nielsen, A., Brandt, K. K., Holm, P. E., Wang, P., Ambus, P., and Elberling, B.
   “Spatial controls of potential methane oxidation in upland topsoils across climatic and geological regions in Greenland.”
   Communications Earth & Environment, 2023.
   doi:10.1038/s43247-023-01143-3

3. Lee, J., Oh, Y., Lee, S., Seo, Y., Yun, J., Yang, Y., Kim, J., Zhuang, Q., and Kang, H.
   “Soil organic carbon is a key determinant of CH₄ sink in global forest soils.”
   Nature Communications, 2023.
   doi:10.1038/s41467-023-38905-8

4. Nisbet, E. G., Manning, M. R., Dlugokencky, E. J., Michel, S. E., Lan, X., Röckmann, T., van der Gon, H. A. C. D., Palmer, P., Oh, Y., Fisher, R., and Lowry, D.
   “Atmospheric methane: Comparison between methane’s record in 2006–2022 and during glacial terminations.”
   Global Biogeochemical Cycles, 2023.
   doi:10.1029/2023GB007875

5. Zhou, L., Warner, J., Nalli, N. R., Wei, Z., Oh, Y., Bruhwiler, L., Liu, X., Divakarla, M., Pryor, K., Kalluri, S., and Goldberg, M. D.
   “Spatiotemporal variability of global atmospheric methane observed from two decades of satellite hyperspectral infrared sounders.”
   Remote Sensing, 2023.
   doi:10.3390/rs15122992

6. Zhuang, Q., Guo, M., Melack, J. M., Lan, X., Tan, Z., Oh, Y., and Leung, L. R.
   “Current and future global lake methane emissions: A process-based modeling analysis.”
   Journal of Geophysical Research: Biogeosciences, 2023.
   doi:10.1029/2022JG007137

2022

1. ⭐ Oh, Y., Zhuang, Q., Welp, L., Liu, L., Lan, X., Basu, S., Dlugokencky, E., Bruhwiler, L., Miller, J., Michel, S., Schwietzke, S., Tans, P., Ciais, P., and Chanton, J.
   “Improved global wetland carbon isotopic signatures support post-2006 microbial methane emission increase.”
   Communications Earth & Environment, 2022.
   doi:10.1038/s43247-022-00488-5

2. Basu, S., Lan, X., Dlugokencky, E., Bruhwiler, L., Oh, Y.
   “Estimating sources of methane consistent with atmospheric measurements of CH₄ and δ¹³C-CH₄.”
   Atmospheric Chemistry and Physics Discussions, 2022.
   doi:10.5194/acp-2022-317

2021

1. Malone, S. L., Oh, Y., Arndt, K., Burba, G., Commane, R., Contosta, A., Goodrich, J., Loescher, H., Starr, G., and Varner, R.
   “Gaps in network infrastructure limit our understanding of biogenic methane emissions in the United States.”
   Biogeosciences, 2021.
   doi:10.5194/bg-2021-256

2. Lan, X., Basu, S., Schwietzke, S., Bruhwiler, L. M. P., Dlugokencky, E. J., Michel, S. E., Sherwood, O. A., Tans, P. P., Thoning, K., Etiope, G., Zhuang, Q., Liu, L., Oh, Y., and coauthors.
   “Improved constraints on global methane emissions and sinks using δ¹³C-CH₄.”
   Global Biogeochemical Cycles, 2021.
   doi:10.1029/2021GB007000

2020

1. ⭐ Oh, Y., Zhuang, Q., Liu, L., Welp, L., Lau, M., Onstott, T., Medvigy, D., Bruhwiler, L., Dlugokencky, E., Hugelius, G., D’Imperio, L., and Elberling, B.
   “Reduced net methane emissions due to microbial methane oxidation in a warmer Arctic.”
   Nature Climate Change, 2020.
   doi:10.1038/s41558-020-0734-z

2. Abbasi, A. O., Salazar, A., Oh, Y., Reinsch, S., Uribe, M., Li, J., Rashid, I., and Dukes, J.
   “Soil responses to manipulated precipitation changes: A synthesis of meta-analyses.”
   Biogeosciences, 2020.
   doi:10.5194/bg-17-3859-2020

3. Liu, L., Zhuang, Q., Oh, Y., Shurpali, N. J., Kim, S., and Poulter, B.
   “Uncertainty quantification of global net methane emissions from terrestrial ecosystems using a mechanistically based biogeochemistry model.”
   Journal of Geophysical Research: Biogeosciences, 2020.
   doi:10.1029/2019JG005428

Earlier Publications

1. Lau, M., Harris, R., Oh, Y., Yi, M., Behmard, A., and Onstott, T.
   “Taxonomic and functional compositions impacted by the quality of metatranscriptomic assemblies.”
   Frontiers in Microbiology, 2018.
   doi:10.3389/fmicb.2018.01235

2. ⭐ Oh, Y., Stackhouse, B., Lau, M., Xu, X., Trugman, A., Moch, J., Onstott, T., Jørgensen, C., D’Imperio, L., Elberling, B., Emmerton, C., St. Louis, V., and Medvigy, D.
   “A scalable model for methane consumption in Arctic mineral soils.”
   Geophysical Research Letters, 2016.
   doi:10.1002/2016GL069049

3. Lau, M., Kieft, T., Kuloyo, O., Linage, B., van Heerden, E., Lindsay, M., Magnabosco, C., Wang, W., Wiggins, J., Guo, L., and coauthors, including Oh, Y.
   “An oligotrophic deep-subsurface community dependent on syntrophy is dominated by sulfur-driven autotrophic denitrifiers.”
   Proceedings of the National Academy of Sciences, 2016.
   doi:10.1073/pnas.1612244113