The Climate Response to Emissions Reductions Due to COVID‐19: Initial Results From CovidMIP

Jones C.D., Hickman J.E., Rumbold S.T., Walton J., Lamboll R.D., Skeie R.B., Fiedler S., Forster P.M., Rogelj J., Abe M., Botzet M., Calvin K., Cassou C., Cole J.N.S., Davini P., Deushi M., Dix M., Fyfe J.C., Gillett N.P., Ilyina T., Kawamiya M., Kelley M., Kharin S., Koshiro T., Li H., Mackallah C., Müller W.A., Nabat P., van Noije T., Nolan P., Ohgaito R., Olivié D., Oshima N., Parodi J., Reerink T.J., Ren L., Romanou A., Séférian R., Tang Y., Timmreck C., Tjiputra J., Tourigny E., Tsigaridis K., Wang H., Wu M., Wyser K., Yang S., Yang Y. and Ziehn T. 2021. The Climate Response to Emissions Reductions Due to COVID-19: Initial Results From CovidMIP. Geophysical Research Letters. 48(8), pe2020GL091883. DOI: 10.1029/2020GL091883.

Stratospheric Ozone Response to Sulfate Aerosol and Solar Dimming Climate Interventions based on the G6 Geoengineering Model Intercomparison Project (GeoMIP) Simulations

Tilmes​ S., Visioni D., Jones A., Haywood J., Séférian R., Nabat P., Boucher O., Bednarz E.M. and Niemeier U. 2022. Stratospheric Ozone Response to Sulfate Aerosol and Solar Dimming Climate Interventions based on the G6 Geoengineering Model Intercomparison Project (GeoMIP) Simulations. Atmospheric Chemistry and Physics. 22(7), pp.4557-4579. DOI: 10.5194/acp-22-4557-2022.

Tuning the MPI-ESM1.2 Global Climate Model to Improve the Match With Instrumental Record Warming by Lowering Its Climate Sensitivity

Mauritsen T. and Roeckner E. 2020. Tuning the MPI-ESM1.2 Global Climate Model to Improve the Match With Instrumental Record Warming by Lowering Its Climate Sensitivity. Journal of Advances in Modeling Earth Systems. 12(5), pe2019MS002037. DOI: 10.1029/2019MS002037.

Silicone v1.0.0: An Open-Source Python Package for Inferring Missing Emissions Data for Climate Change Research

Lamboll R.D., Nicholls Z.R.J., Kikstra J.S., Meinshausen M. and Rogelj J. 2020. Silicone v1.0.0: An Open-Source Python Package for Inferring Missing Emissions Data for Climate Change Research. Geoscientific Model Development. 13(11), pp.5259-5275. DOI: 10.5194/gmd-13-5259-2020.

Machine Learning Reveals Climate Forcing from Aerosols is Dominated by Increased Cloud Cover

Chen Y., Haywood J., Wang Y., Malavelle F., Jordan G., Partridge D., Fieldsend J., De Leeuw J., Schmidt A., Cho N., Oreopoulos L., Platnick S., Grosvenor D., Field P. and Lohmann U. 2022. Machine Learning Reveals Climate Forcing from Aerosols is Dominated by Increased Cloud Cover. Nature Geoscience. 15(8), pp.609-614. DOI: 10.1038/s41561-022-00991-6.

On the Structure of Instantaneous Radiative Forcing Kernels for Greenhouse Gases

Maycock A.C., Smith C.J., Rap A. and Rutherford O. 2021. On the Structure of Instantaneous Radiative Forcing Kernels for Greenhouse Gases. Journal of the Atmospheric Sciences. 78(3), pp.949-965. DOI: 10.1175/JAS-D-19-0267.1.

Minimal Recipes for Global Cloudiness

Datseris G., Blanco J., Hadas O., Bony S., Caballero R., Kaspi Y. and Stevens B. 2022. Minimal Recipes for Global Cloudiness. Geophysical Research Letters. 49(20), pe2022GL099678. DOI: 10.1029/2022GL099678.

Presentation and Evaluation of the IPSL-CM6A-LR Climate Model

Boucher O., Servonnat J., Albright A.L., Aumont O., Balkanski Y., Bastrikov V., Bekki S., Bonnet R., Bony S., Bopp L., Braconnot P., Brockmann P., Cadule P., Caubel A., Cheruy F., Codron F., Cozic A., Cugnet D., D'Andrea F., Davini P., Lavergne C., Denvil S., Deshayes J., Devilliers M., Ducharne A., Dufresne J.-L., Dupont E., Éthé C., Fairhead L., Falletti L., Flavoni S., Foujols M.-A., Gardoll S., Gastineau G., Ghattas J., Grandpeix J.-Y., Guenet B., Guez L.E., Guilyardi E., Guimberteau M., Hauglustaine D., Hourdin F., Idelkadi A., Joussaume S., Kageyama M., Khodri M., Krinner G., Lebas N., Levavasseur G., Lévy C., Li L., Lott F., Lurton T., Luyssaert S., Madec G., Madeleine J.-B., Maignan F., Marchand M., Marti O., Mellul L., Meurdesoif Y., Mignot J., Musat I., Ottlé C., Peylin P., Planton Y., Polcher J., Rio C., Rochetin N., Rousset C., Sepulchre P., Sima A.S., Swingedouw D., Thiéblemont R., Traore A.K., Vancoppenolle M., Vial J., Vialard J., Viovy N. and Vuichard N. 2020. Presentation and Evaluation of the IPSL-CM6A-LR Climate Model. Journal of Advances in Modeling Earth Systems. 12(7), pe2019MS002010. DOI: 10.1029/2019MS002010.

Opportunities and Challenges in Using Remaining Carbon Budgets to Guide Climate Policy

Matthews H.D., Tokarska K.B., Nicholls Z.R.J., Rogelj J., Canadell J.G., Friedlingstein P., Frölicher T.L., Forster P.M., Gillett N.P., Ilyina T., Jackson R.B., Jones C.D., Koven C., Knutti R., MacDougall A.H., Meinshausen M., Mengis N., Séférian R. and Zickfeld K. 2020. Opportunities and Challenges in Using Remaining Carbon Budgets to Guide Climate Policy. Nature Geoscience. 13(12), pp.769-779. DOI: 10.1038/s41561-020-00663-3.

Pathways of Climate Resilience Over the 21st Century

Schleussner C.-F., Pfleiderer P., Andrijevic M., Vogel M.M., Otto F.E.L. and Seneviratne S.I. 2021. Pathways of Climate Resilience Over the 21st Century. Environmental Research Letters. 16(5), p054058. DOI: 10.1088/1748-9326/abed79.