Cite
Improving predictions of evapotranspiration by integrating multi-source observations and land surface model.
MLA
He, Xinlei, et al. “Improving Predictions of Evapotranspiration by Integrating Multi-Source Observations and Land Surface Model.” Agricultural Water Management, vol. 272, Oct. 2022, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.agwat.2022.107827.
APA
He, X., Liu, S., Xu, T., Yu, K., Gentine, P., Zhang, Z., Xu, Z., Jiao, D., & Wu, D. (2022). Improving predictions of evapotranspiration by integrating multi-source observations and land surface model. Agricultural Water Management, 272, N.PAG. https://doi.org/10.1016/j.agwat.2022.107827
Chicago
He, Xinlei, Shaomin Liu, Tongren Xu, Kailiang Yu, Pierre Gentine, Zhe Zhang, Ziwei Xu, Dandan Jiao, and Dongxing Wu. 2022. “Improving Predictions of Evapotranspiration by Integrating Multi-Source Observations and Land Surface Model.” Agricultural Water Management 272 (October): N.PAG. doi:10.1016/j.agwat.2022.107827.