diff --git a/_toc.yml b/_toc.yml index 9e065e74..6e0e02ce 100644 --- a/_toc.yml +++ b/_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 diff --git a/bibliography.md b/bibliography.md new file mode 100644 index 00000000..d977a9bd --- /dev/null +++ b/bibliography.md @@ -0,0 +1,4 @@ +# References + +```{bibliography} +``` diff --git a/references.bib b/references.bib index 783ec6aa..35ef6ceb 100644 --- a/references.bib +++ b/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} +}