Code for estimation of remaining carbon budget in IPCC AR6 WGI
Lamboll et al
Code for Responsibility of major emitters for country-level warming and extreme hot years
Data and code available for Bausch et al
Scientific data from precipitation driver response model intercomparison project
Data (Andrews et al)
Increased risk of near term global warming due to a recent AMOC weakening
data from the IPSL-CM6A-LR ensemble of extended historical simulations dataset used in the main Figure of the publication (Bonnet et al)
A comprehensive and synthetic dataset for global, regional and national greenhouse gas emissions by sector 1970-2018 with an extension to 2019
The emissions dataset used for this study (Minx et al, 2021) is available
Effect of orographic gravity wave drag on Northern Hemisphere climate in transient simulations of the last deglaciation
All data and plotting capability are available (Snoll et al)
Large-scale emergence of regional changes in year-to-year temperature variability by the end of the 21st century
Code used to both process the data and create the figures for (OIonscheck et al)
The 2000-2012 global warming hiatus more likely with a low climate sensitivity
Dataset containing python codes, observational data, processed CMIP6 and CMIP5 model data and AR5 ERF forcing used to produce the figures in (Modak, Mauritsen)
Quantifying uncertainty in aggregated climate change risk assessments
Scripts and data necessary to reproduce figures from (Harrington et al)
Effects of local and remote black carbon aerosols on summer monsoon precipitation over India
Essential model data used to produce the figures and tables (Krishnamohan et al)
EUREC4A
trajectory data for the 59 mobile platforms deployed during EUREC4A (Stevens et al)
Modifying emissions scenario projections to account for the effects of COVID-19: protocol for CovidMIP
Data required for the DAMIP component for paper (Lamboll et al)
Incremental improvements of 2030 targets insufficient to achieve the Paris Agreement goals
Supplementary material for (Geiges et al)
Silicone, an open source Python package
Code for Silicone (Lamboll et al)
Stringent mitigation substantially reduces risk of unprecedented near-term warming rates
Data for (McKenna et al)
Latest climate models confirm need for urgent mitigation
Data used in (Forster et al)
A Sensitivity Study of Arctic Air‐Mass Transformation Using Large Eddy Simulation
Data used in (Dimitrelos et al)
A New Look at the Daily Cycle of Trade Wind Cumuli
Data used in (Vial et al)
Efficacy of Climate Forcings in PDRMIP Models
Model output used in (Richardson et al)
The contribution of global aviation to anthropogenic climate forcing in 2018
Data from (Lee et al)
The HadGEM3-GA7.1 radiative kernel: the importance of a well-resolved stratosphere
Dataset for (Smith et al)
Energy budget constraints on historical forcing
The code used to produce (Andrews, Forster et al)
Time-series of annual global surface air temperature anomaly data for the CMIP6 historical, SSP1-2.6, and SSP5-8.5 simulations
Anomaly data for (Forster et al)
Emissions changes in 2020 due to COVID-19
Data used in (Forster et al)
Bayesian framework for emergent constraints: case studies of climate sensitivity with PMIP
Code used in (Renoult et al)