Publications
Here is a list of peer-reviewed scientific publications I lead or contributed to:
2021
- Skylaki, S., Oskooei, A., Bari, O., Herger, N., and Kriegman, Z. (2021). Legal Entity Extraction using a Pointer Generator Network. MLLD2021. [Preprint]
- Norkute, M., Herger, N., Michalak, L., Mulder, A., and Gao, S. (2021). Towards Explainable AI: Assessing the Usefulness and Impact of Added Explainability Features in Legal Document Summarization. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, CHI EA ’21, New York, NY, USA. Association for Computing Machinery. [Preprint]
2019
- Herger, N., Abramowitz, G., Sherwood, S., Knutti, R., Angélil, O., and Sisson, S. A. (2019). Ensemble optimisation, multiple constraints and overconfidence: a case study with future Australian precipitation change. Climate Dynamics, 53(3), 1581-1596.
- Abramowitz, G., Herger, N., Gutmann, E., Hammerling, D., Knutti, R., Leduc, M., Lorenz, R., Pincus, R., and Schmidt, G. A. (2019). ESD Reviews: Model dependence in multi-model climate ensembles: weighting, sub-selection and out-of-sample testing. Earth System Dynamics, 10, 91-105, doi:10.5194/esd-10-91-2019. [PDF]
2018
- Herger, N., Angélil, O., Abramowitz, G., Donat, M., Stone, D. A., and Lehmann, K. (2018). Calibrating climate model ensembles for assessing extremes in a changing climate. Journal of Geophysical Research: Atmospheres, 123(11), 5988-6004, doi:10.1029/2018JD028549. [PDF]
- Lorenz, R., Herger, N., Sedláček, J., Eyring, V., Fischer, E. M., and Knutti, R (2018). Prospects and caveats of weighting climate models for summer maximum temperature projections over North America. Journal of Geophysical Research: Atmospheres, 123(9), 4509-4526, doi:10.1029/2017JD027992.
- Ukkola, A. M., Pitman, A. J., De Kauwe, M. G., Abramowitz, G., Herger, N., Evans, J. P., and Decker, M. (2018). Evaluating CMIP5 model agreement for multiple drought metrics. Journal of Hydrometeorology, 19(6), 969-988, doi:10.1175/JHM-D-17-0099.1.
- Herger, N., Abramowitz, G., Knutti, R., Angélil, O., Lehmann, K., and Sanderson, B. M. (2018). Selecting a climate model subset to optimise key ensemble properties. Earth System Dynamics, 9(1), 135-151, doi:10.5194/esd-9-135-2018. [PDF]
2015
- Herger, N., Sanderson, B. M., and Knutti, R. (2015). Improved pattern scaling approaches for the use in climate impact studies. Geophysical Research Letters, 42(9), 3486-3494, doi:10.1002/2015GL063569. [PDF]
2014
- Storelvmo, T., Boos, W. R., and Herger, N. (2014). Cirrus cloud seeding: a climate engineering mechanism with reduced side effects? Phil. Trans. R. Soc. A, 372(2031), 20140116, doi:10.1098/rsta.2014.0116.
- Storelvmo, T. and Herger, N. (2014). Cirrus cloud susceptibility to the injection of ice nuclei in the upper troposphere. Journal of Geophysical Research: Atmospheres, 119(5), 2375-2389, doi:10.1002/2013JD020816.
You can find the full list on Google Scholar.
Newest Posts
- Lessons learned in AI Governance
- My Journey from Climate Science into Responsible AI
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- Out-of-Sample Testing in Climate Science
- Climate Change Scarf
- Hackathon
- Combinatorial optimisation with Gurobi
- Visualising the model space with unsupervised learning
- Setting up Jekyll on GitHub Pages