Zhan, Weiwei, Yang, Xi, Ryu, Youngryel, Dechant, Benjamin, Huang, Yu, Goulas, Yves, Kang, Minseok, and Gentine, Pierre. Two for one: Partitioning CO2 fluxes and understanding the relationship between solar-induced chlorophyll fluorescence and gross primary productivity using machine learning. Retrieved from https://par.nsf.gov/biblio/10330036. Agricultural and Forest Meteorology 321.C Web. doi:10.1016/j.agrformet.2022.108980.

Zhan, Weiwei, Yang, Xi, Ryu, Youngryel, Dechant, Benjamin, Huang, Yu, Goulas, Yves, Kang, Minseok, & Gentine, Pierre. Two for one: Partitioning CO2 fluxes and understanding the relationship between solar-induced chlorophyll fluorescence and gross primary productivity using machine learning. Agricultural and Forest Meteorology, 321 (C). Retrieved from https://par.nsf.gov/biblio/10330036. https://doi.org/10.1016/j.agrformet.2022.108980

Zhan, Weiwei, Yang, Xi, Ryu, Youngryel, Dechant, Benjamin, Huang, Yu, Goulas, Yves, Kang, Minseok, and Gentine, Pierre. "Two for one: Partitioning CO2 fluxes and understanding the relationship between solar-induced chlorophyll fluorescence and gross primary productivity using machine learning". Agricultural and Forest Meteorology 321 (C). Country unknown/Code not available. https://doi.org/10.1016/j.agrformet.2022.108980. https://par.nsf.gov/biblio/10330036.

@article{osti_10330036,
place = {Country unknown/Code not available}, title = {Two for one: Partitioning CO2 fluxes and understanding the relationship between solar-induced chlorophyll fluorescence and gross primary productivity using machine learning}, url = {https://par.nsf.gov/biblio/10330036}, DOI = {10.1016/j.agrformet.2022.108980}, abstractNote = {}, journal = {Agricultural and Forest Meteorology}, volume = {321}, number = {C}, author = {Zhan, Weiwei and Yang, Xi and Ryu, Youngryel and Dechant, Benjamin and Huang, Yu and Goulas, Yves and Kang, Minseok and Gentine, Pierre}, }