Cite
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model.
MLA
Brajard, Julien, et al. “Combining Data Assimilation and Machine Learning to Emulate a Dynamical Model from Sparse and Noisy Observations: A Case Study with the Lorenz 96 Model.” Geoscientific Model Development Discussions, July 2019, pp. 1–21. EBSCOhost, https://doi.org/10.5194/gmd-2019-136.
APA
Brajard, J., Carrassi, A., Bocquet, M., & Bertino, L. (2019). Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model. Geoscientific Model Development Discussions, 1–21. https://doi.org/10.5194/gmd-2019-136
Chicago
Brajard, Julien, Alberto Carrassi, Marc Bocquet, and Laurent Bertino. 2019. “Combining Data Assimilation and Machine Learning to Emulate a Dynamical Model from Sparse and Noisy Observations: A Case Study with the Lorenz 96 Model.” Geoscientific Model Development Discussions, July, 1–21. doi:10.5194/gmd-2019-136.