A global daily gap-filled chlorophyll-a dataset in open oceans during 2001-2021 from multisource information using convolutional neural networks.

MLA

Zhongkun Hong, et al. “A Global Daily Gap-Filled Chlorophyll-a Dataset in Open Oceans during 2001-2021 from Multisource Information Using Convolutional Neural Networks.” Earth System Science Data Discussions, July 2023, pp. 1–28. EBSCOhost, https://doi.org/10.5194/essd-2023-257.

APA

Zhongkun Hong, Di Long, Xingdong Li, Yiming Wang, Jianmin Zhang, Hamouda, M. A., & Mohamed, M. M. (2023). A global daily gap-filled chlorophyll-a dataset in open oceans during 2001-2021 from multisource information using convolutional neural networks. Earth System Science Data Discussions, 1–28. https://doi.org/10.5194/essd-2023-257

Chicago

Zhongkun Hong, Di Long, Xingdong Li, Yiming Wang, Jianmin Zhang, Mohamed A. Hamouda, and Mohamed M. Mohamed. 2023. “A Global Daily Gap-Filled Chlorophyll-a Dataset in Open Oceans during 2001-2021 from Multisource Information Using Convolutional Neural Networks.” Earth System Science Data Discussions, July, 1–28. doi:10.5194/essd-2023-257.