Trends in AOD, Clouds, and Cloud Radiative Effects in Satellite Data and CMIP5 and CMIP6 Model Simulations Over Aerosol Source Regions R Cherian, J Quaas (2020) Geophysical Research Letters Volume 47, Issue 9 doi.org/10.1029/2020GL087132
Effective radiative forcing and adjustments in CMIP6 models Smith C et al (2020) Atmos. Chem. Phys. 9591–9618, https://doi.org/10.5194/acp-20-9591-2020
Carbon–concentration and carbon–climate feedbacks in CMIP6 models and their comparison to CMIP5 models Arora VK, Boucher O et al (2020) Biogeosciences, 17, 4173–4222, doi.org/10.5194/bg-17-4173-2020
A Bayesian framework for emergent constraints: case studies of climate sensitivity with PMIP Renoult et al. (2020) Clim. Past, 16, 1715–1735, doi.org/10.5194/cp-16-1715-2020
Uncertainty in carbon budget estimates due to internal climate variability Tokarska et al (2020) Environ. Res. Lett. in press, doi.org/10.1088/1748-9326/abaf1b
An assessment of Earth’s climate sensitivity using multiple lines of evidence Sherwood et al (2020) Reviews of Geophysics, doi: 10.1029/2019RG000678
Current and future global climate impacts resulting from COVID-19 Forster P.M., Forster H.I. et al (2020) Nat. Clim. Chang. https://doi.org/10.1038/s41558-020-0883-0
What could we learn about climate sensitivity from variability in the surface temperature record? Annan et al (2020) Earth Syst. Dynam. 11, 709–719, doi.org/10.5194/esd-11-709-2020
Simulated Tropical Precipitation Assessed across Three Major Phases of the Coupled Model Intercomparison Project (CMIP) Feidler et al (2020) American Meteorological Society Volume 148, Issue 9 doi.org/10.1175/MWR-D-19-0404.1
Large Variations in Volcanic Aerosol Forcing Efficiency Due to Eruption Source Parameters and Rapid Adjustments Marshall L, Smith CJ, Forster PM, Aubry TJ, Andrews T, Schmidt A (2020) Geophysical Research Letters Volume 47, Issue 19 https://doi.org/10.1029/2020GL090241
