Added new references

Author: isaacaka

slides/references.bib

@@ -178,3 +178,95 @@ @article{zanna2020data
   year={2020},
   publisher={Wiley Online Library}
 }
+
+@article{Kochkov_2024,
+   title={Neural general circulation models for weather and climate},
+   volume={632},
+   ISSN={1476-4687},
+   url={http://dx.doi.org/10.1038/s41586-024-07744-y},
+   DOI={10.1038/s41586-024-07744-y},
+   number={8027},
+   journal={Nature},
+   publisher={Springer Science and Business Media LLC},
+   author={Kochkov, Dmitrii and Yuval, Janni and Langmore, Ian and Norgaard, Peter and Smith, Jamie and Mooers, Griffin and Klöwer, Milan and Lottes, James and Rasp, Stephan and Düben, Peter and Hatfield, Sam and Battaglia, Peter and Sanchez-Gonzalez, Alvaro and Willson, Matthew and Brenner, Michael P. and Hoyer, Stephan},
+   year={2024},
+   month=jul, pages={1060–1066} }
+
+@Article{gmd-16-6433-2023,
+AUTHOR = {de Burgh-Day, C. O. and Leeuwenburg, T.},
+TITLE = {Machine learning for numerical weather and climate modelling: a review},
+JOURNAL = {Geoscientific Model Development},
+VOLUME = {16},
+YEAR = {2023},
+NUMBER = {22},
+PAGES = {6433--6477},
+URL = {https://gmd.copernicus.org/articles/16/6433/2023/},
+DOI = {10.5194/gmd-16-6433-2023}
+}
+
+@article{watt2025ace2,
+  title={ACE2: accurately learning subseasonal to decadal atmospheric variability and forced responses},
+  author={Watt-Meyer, Oliver and Henn, Brian and McGibbon, Jeremy and Clark, Spencer K and Kwa, Anna and Perkins, W Andre and Wu, Elynn and Harris, Lucas and Bretherton, Christopher S},
+  journal={npj Climate and Atmospheric Science},
+  volume={8},
+  number={1},
+  pages={205},
+  year={2025},
+  publisher={Nature Publishing Group UK London}
+}
+
+@article{chapman2025camulator,
+  title={CAMulator: Fast emulation of the community atmosphere model},
+  author={Chapman, William E and Schreck, John S and Sha, Yingkai and Gagne II, David John and Kimpara, Dhamma and Zanna, Laure and Mayer, Kirsten J and Berner, Judith},
+  journal={arXiv preprint arXiv:2504.06007},
+  year={2025}
+}
+
+@article{Dheeshjith_2025,
+   title={Samudra: An AI Global Ocean Emulator for Climate},
+   volume={52},
+   ISSN={1944-8007},
+   url={http://dx.doi.org/10.1029/2024GL114318},
+   DOI={10.1029/2024gl114318},
+   number={10},
+   journal={Geophysical Research Letters},
+   publisher={American Geophysical Union (AGU)},
+   author={Dheeshjith, Surya and Subel, Adam and Adcroft, Alistair and Busecke, Julius and Fernandez‐Granda, Carlos and Gupta, Shubham and Zanna, Laure},
+   year={2025},
+   month=may }
+
+@article{rasp2024weatherbench,
+  title={WeatherBench 2: A benchmark for the next generation of data-driven global weather models},
+  author={Rasp, Stephan and Hoyer, Stephan and Merose, Alexander and Langmore, Ian and Battaglia, Peter and Russell, Tyler and Sanchez-Gonzalez, Alvaro and Yang, Vivian and Carver, Rob and Agrawal, Shreya and others},
+  journal={Journal of Advances in Modeling Earth Systems},
+  volume={16},
+  number={6},
+  pages={e2023MS004019},
+  year={2024},
+  publisher={Wiley Online Library}
+}
+
+@article{nathaniel2024chaosbench,
+  title={Chaosbench: A multi-channel, physics-based benchmark for subseasonal-to-seasonal climate prediction},
+  author={Nathaniel, Juan and Qu, Yongquan and Nguyen, Tung and Yu, Sungduk and Busecke, Julius and Grover, Aditya and Gentine, Pierre},
+  journal={Advances in Neural Information Processing Systems},
+  volume={37},
+  pages={43715--43729},
+  year={2024}
+}
+
+@article{nguyen2023climax,
+  title={Climax: A foundation model for weather and climate},
+  author={Nguyen, Tung and Brandstetter, Johannes and Kapoor, Ashish and Gupta, Jayesh K and Grover, Aditya},
+  journal={arXiv preprint arXiv:2301.10343},
+  year={2023}
+}
+
+@article{bodnar2025foundation,
+  title={A foundation model for the Earth system},
+  author={Bodnar, Cristian and Bruinsma, Wessel P and Lucic, Ana and Stanley, Megan and Allen, Anna and Brandstetter, Johannes and Garvan, Patrick and Riechert, Maik and Weyn, Jonathan A and Dong, Haiyu and others},
+  journal={Nature},
+  pages={1--8},
+  year={2025},
+  publisher={Nature Publishing Group UK London}
+}