Publications

Full list of publications can be seen in my google scholar.

2025

  1. AFM
    Hysteretic temperature sensitivity in wetland CH4 emission modeling
    S. Chen, K. Yuan, F. Li, Q. Zhu, and Q. Zhuang
    Agricultural and Forest Meteorology, 2025
  2. PNAS Nexus
    Exacerbating risk in human-ignited large fires over western United States due to lower flammability thresholds and greenhouse gas emissions
    F. Li, Q. Zhu, K. Yuan, H. Huang, V. Radeloff, and M. Chen
    PNAS Nexus, Feb 2025
  3. ERL
    Unraveling the depth-dependent causal dynamics of methanogenesis and methanotrophy in a high-latitude fen peatland
    S. Yang, J. Tang, Z. Li, K. Yuan, Q. Wu, K. Chang, S. Hodgkins, R. Wilson, Q. Zhu, R. Grant, and others
    Environmental Research Letters, Feb 2025
  4. ERL
    Advancements and opportunities to improve bottom–up estimates of global wetland methane emissions
    Q. Zhu, D. Jacob, K. Yuan, F. Li, B. Runkle, M. Chen, A. Bloom, B. Poulter, J. East, W. Riley, and others
    Environmental Research Letters, Feb 2025
  5. GMD
    Development of a Model Framework for Terrestrial Carbon Flux Prediction: the Regional Carbon and Climate Analytics Tool (RCCAT) Applied to Non-tidal Wetlands (in discussion)
    A. Brereton, Z. Mekonnen, B. Arora, W. Riley, K. Yuan, Y. Xu, Y. Zhang, Q. Zhu, T. Anthony, and A. Paytan
    Geoscientific Model Development, Feb 2025

2024

  1. ERL
    Critical needs to close monitoring gaps in pan-tropical wetland CH4 emissions
    Q. Zhu, K. Yuan, F. Li, W. Riley, A. Hoyt, R. Jackson, G. McNicol, M. Chen, S. Knox, O. Briner, and others
    Environmental Research Letters, Feb 2024
  2. Earth’s Future
    Projecting large fires in the western US with an interpretable and accurate hybrid machine learning method
    F. Li, Q. Zhu, K. Yuan, F. Ji, A. Paul, P. Lee, V. Radeloff, and M. Chen
    Earth’s Future, Feb 2024
  3. Nature Climate Change
    Boreal–Arctic wetland methane emissions modulated by warming and vegetation activity
    K. Yuan, F. Li, G. McNicol, M. Chen, A. Hoyt, S. Knox, W. Riley, R. Jackson, and Q. Zhu
    Nature Climate Change, Feb 2024
  4. AFM
    Global impacts of vegetation clumping on regulating land surface heat fluxes
    F. Li, D. Hao, Q. Zhu, K. Yuan, R. Braghiere, L. He, X. Luo, S. Wei, W. Riley, Y. Zeng, and others
    Agricultural and Forest Meteorology, Feb 2024

2023

  1. US patent
    Predicting climate conditions based on teleconnections
    H. Ma, K. Yuan, F. Li, C. Leroy, and G. Bronevetsky
    Jun 2023
    US Patent 11,668,856
  2. GCB
    Vegetation clumping modulates global photosynthesis through adjusting canopy light environment
    F. Li, D. Hao, Q. Zhu, K. Yuan, R. Braghiere, L. He, X. Luo, S. Wei, W. Riley, Y. Zeng, and others
    Global Change Biology, Jun 2023
  3. AGU Advances
    Upscaling wetland methane emissions from the FLUXNET-CH4 eddy covariance network (UpCH4 v1. 0): Model development, network assessment, and budget comparison
    G. McNicol, E. Fluet-Chouinard, Z. Ouyang, S. Knox, Z. Zhang, T. Aalto, S. Bansal, K. Chang, M. Chen, K. Delwiche, S. Feron, M. Goeckede, J. Liu, A. Malhotra, J. Melton, W. Riley, R. Vargas, K. Yuan, Q. Ying, Q. Zhu, P. Alekseychik, M. Aurela, D. Billesbach, D. Campbell, J. Chen, H. Chu, A. Desai, E. Euskirchen, J. Goodrich, T. Griffis, M. Helbig, T. Hirano, H. Iwata, G. Jurasinski, J. King, F. Koebsch, R. Kolka, K. Krauss, A. Lohila, I. Mammarella, M. Nilson, A. Noormets, W. Oechel, M. Peichl, T. Sachs, A. Sakabe, C. Schulze, O. Sonnentag, R. Sullivan, E. Tuittila, M. Ueyama, T. Vesala, E. Ward, C. Wille, G. Wong, D. Zona, L. Windham-Myers, B. Poulter, and R. Jackson
    AGU Advances, Jun 2023

2022

  1. AFM
    Causality guided machine learning model on wetland CH4 emissions across global wetlands
    K. Yuan, Q. Zhu, F. Li, W. Riley, M. Torn, H. Chu, G. McNicol, M. Chen, S. Knox, K. Delwiche, and others
    Agricultural and Forest Meteorology, Jun 2022
  2. GMD
    AttentionFire_v1. 0: interpretable machine learning fire model for burned area predictions over tropics
    F. Li, Q. Zhu, W. Riley, L. Zhao, L. Xu, K. Yuan, M. Chen, H. Wu, Z. Gui, J. Gong, and others
    Geoscientific Model Development Discussions, Jun 2022
  3. AFM
    Understanding and reducing the uncertainties of land surface energy flux partitioning within CMIP6 land models
    K. Yuan, Q. Zhu, W. Riley, F. Li, and H. Wu
    Agricultural and Forest Meteorology, Jun 2022
  4. Earth’s Future
    Wetter California projected by CMIP6 models with observational constraints under a high GHG emission scenario
    F. Li, Q. Zhu, W. Riley, K. Yuan, H. Wu, and Z. Gui
    Earth’s Future, Jun 2022
  5. GMD
    Building a machine learning surrogate model for wildfire activities within a global Earth system model
    Q. Zhu, F. Li, W. Riley, L. Xu, L. Zhao, K. Yuan, H. Wu, J. Gong, and J. Randerson
    Geoscientific Model Development, Jun 2022

2021

  1. ERL
    Deforestation reshapes land-surface energy-flux partitioning
    K. Yuan, Q. Zhu, S. Zheng, L. Zhao, M. Chen, W. Riley, X. Cai, H. Ma, F. Li, H. Wu, and others
    Environmental Research Letters, Jun 2021

2020

  1. Neurocomputing
    A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction
    F. Li, Z. Gui, Z. Zhang, D. Peng, S. Tian, K. Yuan, Y. Sun, H. Wu, J. Gong, and Y. Lei
    Neurocomputing, Jun 2020

2019

  1. IJGIS
    A quad-tree-based fast and adaptive Kernel Density Estimation algorithm for heat-map generation
    K. Yuan, X. Cheng, Z. Gui, F. Li, and H. Wu
    International Journal of Geographical Information Science, Jun 2019