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Steep emissions reductions are needed in the coming decades to limit warming to 2°C or lower, followed by multiple gigatons of annual carbon dioxide removal (CDR) in the second half of the 21st century. In this presentation we make a first assessment of the “CDR gap” and ask whether countries are preparing for the CDR scale-up challenge. We find that most countries pledge only a small expansion of CDR by 2030 in their nationally determined contributions (NDCs), while only a subset have proposed CDR in their long-term mitigation strategies. There is a significant gap between these proposed CDR levels and levels in scenarios that limit warming to 2°C or lower. While some scenarios have low CDR requirements, these require even steeper emissions reductions that we are not on track to achieve. Most countries prioritize conventional CDR on land (i.e. the management of forest sinks) which has low permanence and may raise land use conflicts. Conventional CDR on land will be extremely difficult just to maintain, let alone expand to meet net zero emissions targets. By contrast, countries focus far less in their NDCs and long-term strategies on novel CDR methods such as bioenergy with carbon capture and storage, direct air capture, or blue carbon. For these technologies to make a meaningful contribution to long-term climate mitigation, urgent support is required in the formative phases of their development. Above all, rapid emissions reductions are needed to reduce our dependence on CDR and prevent a widening CDR gap by 2050.

Intergovernmental Panel on Climate Change (IPCC) assessments are the trusted source of scientific evidence for climate negotiations taking place under the United Nations Framework Convention on Climate Change (UNFCCC), including the first global stocktake under the Paris Agreement that will conclude at COP28 in December 2023. Evidence-based decision making needs to be informed by up-to-date and timely information on key indicators of the state of the climate system and of the human influence on the global climate system. However, successive IPCC reports are published at intervals of 5–10 years, creating potential for an information gap between report cycles. We base this update on the assessment methods used in the IPCC Sixth Assessment Report (AR6) Working Group One (WGI) report, updating the monitoring datasets and to produce updated estimates for key climate indicators including emissions, greenhouse gas concentrations, radiative forcing, surface temperature changes, the Earth’s energy imbalance, warming attributed to human activities, the remaining carbon budget and estimates of global temperature extremes. The purpose of this effort, grounded in an open data, open science approach, is to make annually updated reliable global climate indicators available in the public domain (https://doi.org/10.5281/zenodo.7883758, Smith et al., 2023). As they are traceable and consistent with IPCC report methods, they can be trusted by all parties involved in UNFCCC negotiations and help convey wider understanding of the latest knowledge of the climate system and its direction of travel. The indicators show that human induced warming reached 1.14 [0.9 to 1.4] °C over the 2013–2022 period and 1.26 [1.0 to 1.6] °C in 2022. Human induced warming is increasing at an unprecedented rate of over 0.2 °C per decade. This high rate of warming is caused by a combination of greenhouse gas emissions being at an all-time high of 57 ± 5.6 GtCO2e over the last decade, as well as reductions in the strength of aerosol cooling. Despite this, there are signs that emission levels are starting to stabilise, and we can hope that a continued series of these annual updates might track a real-world change of direction for the climate over this critical decade.

To track progress towards keeping warming well below 2 °C, as agreed upon in the Paris Agreement, comprehensive and reliable information on anthropogenic sources of greenhouse gas emissions (GHG) is required. Here we provide a dataset on anthropogenic GHG emissions 1970–2019 with a broad country and sector coverage. We build the dataset from recent releases of the “Emissions Database for Global Atmospheric Research” (EDGAR) for CO2 emissions from fossil fuel combustion and industry (FFI), CH4 emissions, N2O emissions, and fluorinated gases, and use a well-established fast-track method to extend this dataset from 2018 to 2019. We complement this with data on net CO2 emissions from land use, land-use change and forestry (LULUCF) from three bookkeeping models. We provide an assessment of the uncertainties in each greenhouse gas at the 90 % confidence interval (5th–95th percentile) by combining statistical analysis and comparisons of global emissions inventories with an expert judgement informed by the relevant scientific literature. We identify important data gaps: CH4 and N2O emissions could be respectively 10–20 % higher than reported in EDGAR once all emissions are accounted. F-gas emissions estimates for individual species in EDGARv5 do not align well with atmospheric measurements and the F-gas total exceeds measured concentrations by about 30 %. However, EDGAR and official national emission reports under the UNFCCC do not comprehensively cover all relevant F-gas species. Excluded F-gas species such as chlorofluorocarbons (CFCs) or hydrochlorofluorocarbons (HCFCs) are larger than the sum of the reported species. GHG emissions in 2019 amounted to 59 ± 6.6 GtCO2eq: CO2 emissions from FFI were 38 ± 3.0 Gt, CO2 from LULUCF 6.6 ± 4.6 Gt, CH4 11 ± 3.3 GtCO2eq, N2O 2.4 ±1.5 GtCO2eq and F-gases 1.6 ± 0.49 GtCO2eq. Our analysis of global, anthropogenic GHG emission trends over the past five decades (1970–2019) highlights a pattern of varied, but sustained emissions growth. There is high confidence that global anthropogenic greenhouse gas emissions have increased every decade. Emission growth has been persistent across different (groups of) gases. While CO2 has accounted for almost 75 % of the emission growth since 1970 in terms of CO2eq as reported here, the combined F-gases have grown at a faster rate than other GHGs, albeit starting from low levels in 1970. Today, F-gases make a non-negligible contribution to global warming – even though CFCs and HCFCs, regulated under the Montreal Protocol and not included in our estimates, have contributed more. There is further high confidence that global anthropogenic GHG emission levels were higher in 2010-2019 than in any previous decade and GHG emission levels have grown across the most recent decade. While average annual greenhouse gas emissions growth slowed between 2010–2019 compared to 2000–2009, the absolute increase in average decadal GHG emissions from the 2000s to the 2010s has been the largest since the 1970s – and within all human history as suggested by available long-term data. We note considerably higher rates of change in GHG emissions between 2018 and 2019 than for the entire decade 2010–2019, which is numerically comparable with the period of high GHG emissions growth during the 2000s, but we place low confidence in this finding as the majority of the growth is driven by highly uncertain increases in CO2-LULUCF emissions as well as the use of preliminary data and extrapolation methodologies for these most recent years. While there is a growing number of countries today on a sustained emission reduction trajectory, our analysis further reveals that there are no global sectors that show sustained reductions in GHG emissions. We conclude by highlighting that tracking progress in climate policy requires substantial investments in independent GHG emission accounting and monitoring as well as the available national and international statistical infrastructures. The data associated with this article (Minx et al. 2021) can be found at https://doi.org/10.5281/zenodo.5053056.

Meeting human needs at low levels of energy use is fundamental for avoiding catastrophic climate change and securing the well-being of all people. In the current international political-economic regime, no country does so.Here, we assess which socio-economic conditions might enable societies to satisfy human needs at sustainable levels of energy use, and thus reconcile human well-being with ambitious climate mitigation. Applying a novel analytical framework and a novel regression-based moderation approach to data from 106 countries, we analyse how the relationship between energy use and six dimensions of human need satisfaction varies with a wide range of socio-economic factors relevant to the provisioning of goods and services (‘provisioning factors’).We find that higher achievements in provisioning factors such as income equality, public service quality, democracy and electricity access are associated with greater need satisfaction and lower energy dependence of need satisfaction. Conversely, higher levels of economic growth and extractivism are associated with lower need satisfaction and greater energy dependence of need satisfaction. Our analysis suggests that countries with beneficial configurations of key provisioning factors are much more likely to reach high levels of need satisfaction at low(er) levels of energy use. Based on our statistical models, countries with highly beneficial configurations of several key provisioning factors could likely achieve sufficient need satisfaction within levels of energy use found compatible with limiting global warming to 1.5 °C without negative emissions technologies. Achieving this would be very unlikely for countries with detrimental provisioning configurations.Improvements in relevant provisioning factors may thus be crucial for ending human deprivation in currently underproviding countries without exacerbating climate and ecological crises, and for tackling the ecological overshoot of currently needs-satisfying countries without compromising sufficient need satisfaction. However, as key pillars of the suggested changes in provisioning run contrary to the dominant political-economic regime, a broader political-economic transformation may be required to organise provisioning for the satisfaction of human needs within sustainable levels of energy use.Our findings have important implications for climate mitigation, poverty eradication, development discourses, and efforts towards Sustainable Development Goals and socio-ecological transformation.