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Peer reviewed articles (Google Scholar)

  • Hickman, S. H. M., Kelp, M., Griffiths, P. T., Doerksen, K., Miyazaki, K., Pennington, E. A., Koren, G., Iglesias-Suarez, F., Schultz, M. G., Chang, K.-L., Cooper, O. R., Archibald, A. T., Sommariva, R., Carlson, D., Wang, H., West, J. J., and Liu, Z.: Applications of Machine Learning and Artificial Intelligence in Tropospheric Ozone Research, EGUsphere [preprint], doi:10.5194/egusphere-2024-3739, 2025
  • Hafner, K., Iglesias-Suarez, F., Shamekh, S., Gentine, P., Giorgetta, M. A., Pincus, R., & Eyring, V.: Interpretable Machine Learning-based Radiation Emulation for ICON, J. Geophys. Res. ML [preprint], doi:10.22541/essoar.173169996.65100750/v1, 2025
  • Kühbacher, B., Iglesias-Suarez, F., Kilbertus, N., & Eyring, V.: Towards Physically Consistent Deep Learning For Climate Model Parameterizations, 23rd IEEE International Conference on Machine Learning and Applications, doi:arxiv.org/abs/2406.03920, 2024
  • Bonnet, P., Pastori, L., Schwabe, M., Giorgetta, M. A., Iglesias-Suarez, F., and Eyring, V.: Tuning a Climate Model with Machine-learning based Emulators and History Matching, EGUsphere [preprint], doi:10.5194/egusphere-2024-2508, 2024
  • Eyring, V., Collins, W. D., Gentine, P., Barnes, E. A., Barreiro, M., Beucler, T., ..., Iglesias-Suarez, F., ... & Zanna, L.: Pushing the frontiers in climate modelling and analysis with machine learning, Nat. Clim. Chang., doi:10.1038/s41558-024-02095-y, 2024
  • Hazeleger, W., Aerts, J. P. M., Bauer, P., Bierkens, M. F. P., Camps-Valls, G., Dekker, M. M., ..., Iglesias-Suarez, F., ... & Vossepoel, F. C.: Digital twins of the Earth with and for humans, Comm. Earth & Environment, doi:10.1038/s43247-024-01626-x, 2024
  • Behrens, G., Beucler, T., Iglesias-Suarez, F., Sungduk, Y., Gentine, P., Pritchard, M., Schwabe, M. and Eyring, V.: Improving Atmospheric Processes in Earth System Models with Deep Learning Ensembles and Stochastic Parameterizations, JAMES [preprint], doi:10.48550/arXiv.2402.03079
  • Iglesias-Suarez, F., Gentine, P., Solino-Fernandez, B., Beucler, T., Pritchard, M., Runge, J., and Eyring, V.: Causally-informed deep learning to improve climate models and projections, J. Geophys. Res. Atmos., 129, e2023JD039202, doi:10.1029/2023JD039202, 2024
  • Yu, S., Hannah, W. M., Peng, L., ... Iglesias-Suarez, F., ..., and Pritchard, M. S.: ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators, Thirty-seventh Annual Conference on Neural Information Processing Systems, doi.org/10.48550/arXiv.2306.08754, 2023
  • Saiz-Lopez A., Fernandez R. P., Li Q., Cuevas C. A., Fu X., Kinnison D. E., Tilmes S., Mahajan A. S., Gomez Martin J. C., Iglesias-Suarez, F., Hossaini R., Plane J. M. C., Myhre G., and Lamarque J.-F.: Natural short-lived halogens exert an indirect cooling effect on climate, Nature, doi:10.1038/s41586-023-06119-z, 2023
  • Behrens, G., Beucler, T., Gentine, P., Iglesias-Suarez, F., Pritchard, M. and Eyring, V.: Non-Linear Dimensionality Reduction With a Variational Encoder Decoder to Understand Convective Processes in Climate Models, JAMES, 14, e2022MS003130, doi:10.1029/2022MS003130, 2022
  • Grundner, A., Beucler, T., Gentine, P., Iglesias-Suarez, F., Giorgetta, M. A., and Eyring, V.: Deep Learning Based Cloud Cover Parameterization for ICON, JAMES, 14, e2021MS002959, doi:10.1029/2021MS002959, 2022
  • Li, Q., Fernandez, R. P., Hossaini, R., Iglesias-Suarez, F., Cuevas, C. A., Apel, E. C., Kinnison, D. E., Lamarque, J.-F., and Saiz-Lopez, A.: Reactive halogens increase the global methane lifetime and radiative forcing in the 21st century, Nat. Commun., doi:10.1038/s41467-022-30456-8, 2022
  • Badia, A., Iglesias-Suarez, F., Fernandez, R. P., Cuevas, C. A., Kinnison, D. E., Lamarque, J.-F., Griffiths, P. T. , Tarasick, D. W., and Saiz-Lopez, A.: The Role of Natural Halogens in Global Tropospheric Ozone Chemistry and Budget Under Different 21st Century Climate Scenarios, J. Geophys. Res. Atmos., e2021JD034859, doi:10.1029/2021JD034859, 2021
  • Iglesias-Suarez, F., Wild, O., Kinnison, D. E., Garcia, R. R., Marsh, D. R., Lamarque, J.-F., Ryan, E. M., Davis, S. M., Eichinger, R., Saiz-Lopez, A., and Young, P. J.: Tropical Stratospheric Circulation and Ozone Coupled to Pacific Multi-Decadal Variability, Geophys. Res. Lett., 48(11), e2020GL092162, doi.org/10.1029/2020GL092162, 2021
  • Iglesias-Suarez, F., Badia, A., Fernandez, R. P., Cuevas, C. A., Kinnison, D. E., Tilmes, S., Lamarque, J.-F., Long, M. C., Hossaini, R., and Saiz-Lopez, A.: Natural halogens buffer tropospheric ozone in a changing climate, Nat. Clim. Chang., doi:10.1038/s41558-019-0675-6, 2020
  • Barrera, J. A., Fernandez, R. P., Iglesias-Suarez, F., Cuevas, C. A., Lamarque, J.-F., and Saiz-Lopez, A.: Seasonal impact of biogenic VSL bromine on the evolution of mid-latitude lowermost stratospheric ozone during the 21st century, Atmos. Chem. Phys., 20, 8083-8102, doi: 10.5194/acp-20-8083-2020, 2020
  • Yumashev, D., Hope, C., Schaefer, K., Riemann-Campe, K., Iglesias-Suarez, F., Jafarov, E., Burke, E. J., Young, P. J., Elshorbany, Y., and Whiteman, G.: Climate policy implications of nonlinear decline of Arctic land permafrost and other cryosphere elements, Nat. Commun., 10, 1900, doi:10.1038/s41467-019-09863-x, 2019
  • Iglesias-Suarez, F., Kinnison, D. E., Rap, A., Wild, O., and Young, P. J.: Key drivers of ozone change and its radiative forcing over the 21st century, Atmos. Chem. Phys., 18, 6121-6139, doi:10.5194/acp-18-6121-2018, 2018
  • Iglesias-Suarez, F., Young, P. J., and Wild, O.: Stratospheric ozone change and related climate impacts over 1850–2100 as modelled by the ACCMIP ensemble, Atmos. Chem. Phys., 16, 343-363, doi:10.5194/acp-16-343-2016, 2016
  • Iglesias-Suarez, F.: Investigating geoengineering solutions to meet the 2ºC target, IBER Journal, 5, 87-108, ISSN:1647-1989, 2014

Non-peer reviewed articles

  • Iglesias-Suarez, F.: El Ártico, un termómetro para el cambio climático, The Conversation (Spain), ISSN:2201-5639, 2019