bibliography structure added - no citation updated in notebooks

_toc.yml

@@ -36,3 +36,6 @@ parts:
     chapters:
     - file: notebooks/Neural-Network-Advection-FwdEuler.ipynb
     - file: notebooks/Neural-Network-Advection.ipynb
+  - caption:
+    chapters:
+    - file: bibliography.md

bibliography.md

@@ -0,0 +1,4 @@
+# References
+
+```{bibliography}
+```

references.bib

@@ -54,3 +54,84 @@ @book{ruby
   year      = {2008},
   publisher = {O'Reilly Media}
 }
+
+% L96 Jupyter Book
+
+@article{Lorenz1995,
+	title = {Predictability: a problem partly solved},
+	journal = {Seminar on Predictability},
+	volume = {1},
+	year = {1995},
+	pages = {1-18},
+	publisher = {ECMWF},
+	organization = {ECMWF},
+	address = {Shinfield Park, Reading},
+	url = {https://www.ecmwf.int/node/10829},
+	author = {Lorenz, E.N.}
+}
+
+@article{Wilks2005,
+  doi = {10.1256/qj.04.03},
+  url = {https://doi.org/10.1256/qj.04.03},
+  year = {2005},
+  publisher = {Wiley},
+  volume = {131},
+  number = {606},
+  pages = {389--407},
+  author = {Daniel S. Wilks},
+  title = {Effects of stochastic parametrizations in the Lorenz {\textquotesingle}96 system},
+  journal = {Quarterly Journal of the Royal Meteorological Society}
+}
+
+@article{Arnold2013,
+  doi = {10.1098/rsta.2011.0479},
+  url = {https://doi.org/10.1098/rsta.2011.0479},
+  year = {2013},
+  publisher = {The Royal Society},
+  volume = {371},
+  number = {1991},
+  pages = {20110479},
+  author = {H. M. Arnold and I. M. Moroz and T. N. Palmer},
+  title = {Stochastic parametrizations and model uncertainty in the Lorenz '96 system},
+  journal = {Philosophical Transactions of the Royal Society A: Mathematical,  Physical and Engineering Sciences}
+}
+
+@article{Brajard2021,
+  doi = {10.1098/rsta.2020.0086},
+  url = {https://doi.org/10.1098/rsta.2020.0086},
+  year = {2021},
+  month = feb,
+  publisher = {The Royal Society},
+  volume = {379},
+  number = {2194},
+  pages = {20200086},
+  author = {Julien Brajard and Alberto Carrassi and Marc Bocquet and Laurent Bertino},
+  title = {Combining data assimilation and machine learning to infer unresolved scale parametrization},
+  journal = {Philosophical Transactions of the Royal Society A: Mathematical,  Physical and Engineering Sciences}
+}
+
+@article{Schneider2017,
+  doi = {10.1002/2017gl076101},
+  url = {https://doi.org/10.1002/2017gl076101},
+  year = {2017},
+  month = dec,
+  publisher = {American Geophysical Union ({AGU})},
+  volume = {44},
+  number = {24},
+  author = {Tapio Schneider and Shiwei Lan and Andrew Stuart and Jo{\~{a}}o Teixeira},
+  title = {Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High-Resolution Simulations},
+  journal = {Geophysical Research Letters}
+}
+
+@article{Russell2017,
+  doi = {10.1016/j.cpc.2017.08.011},
+  url = {https://doi.org/10.1016/j.cpc.2017.08.011},
+  year = {2017},
+  month = dec,
+  publisher = {Elsevier {BV}},
+  volume = {221},
+  pages = {160--173},
+  author = {Francis P. Russell and Peter D. D\"{u}ben and Xinyu Niu and Wayne Luk and T.N. Palmer},
+  title = {Exploiting the chaotic behaviour of atmospheric models with reconfigurable architectures},
+  journal = {Computer Physics Communications}
+}