Watson-Parris, D. , 2021: Machine learning for weather and climate are worlds apart. Other, 379, 20200098, doi:10.1098/rsta.2020.0098.
Thornhill, Gillian D., Collins, William J., Kramer, Ryan J., Olivié, Dirk, Skeie, Ragnhild B., O'Connor, Fiona M., Abraham, Nathan Luke, Checa-Garcia, Ramiro, Bauer, Susanne E., Deushi, Makoto, Emmons, Louisa K., Forster, Piers M., Horowitz, Larry W., Johnson, Ben, Keeble, James, Lamarque, Jean-Francois, Michou, Martine, Mills, Michael J., Mulcahy, Jane P., Myhre, Gunnar, Nabat, Pierre, Naik, Vaishali, Oshima, Naga, Schulz, Michael, Smith, Christopher J., Takemura, Toshihiko, Tilmes, Simone, Wu, Tongwen, Zeng, Guang, Zhang, Jie , 2021: Effective radiative forcing from emissions of reactive gases and aerosols – a multi-model comparison. Atmospheric Chemistry and Physics, 21, 853-874, doi:10.5194/acp-21-853-2021.
van Noije, Twan, Bergman, Tommi, Le Sager, Philippe, O'Donnell, Declan, Makkonen, Risto, Gonçalves-Ageitos, María, Döscher, Ralf, Fladrich, Uwe, von Hardenberg, Jost, Keskinen, Jukka-Pekka, Korhonen, Hannele, Laakso, Anton, Myriokefalitakis, Stelios, Ollinaho, Pirkka, Pérez García-Pando, Carlos, Reerink, Thomas, Schrödner, Roland, Wyser, Klaus, Yang, Shuting , 2020: EC-Earth3-AerChem, a global climate model with interactive aerosolsand atmospheric chemistry participating in CMIP6. Geoscientific Model Development, doi:10.5194/gmd-2020-413.
Watson‐Parris, D., Bellouin, N., Deaconu, L. T., Schutgens, N. A. J., Yoshioka, M., Regayre, L. A., Pringle, K. J., Johnson, J. S., Smith, C. J., Carslaw, K. S., Stier, P. , 2020: Constraining Uncertainty in Aerosol Direct Forcing. Geophysical Research Letters, 47, doi:10.1029/2020gl087141.