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2 - A Scientific Overview of Climate Change

Published online by Cambridge University Press:  03 June 2025

Margaretha Wewerinke-Singh
Affiliation:
Universiteit van Amsterdam
Sarah Mead
Affiliation:
Climate Litigation Network (CLN)

Summary

Chapter 2 provides a primer on climate science for legal practitioners and scholars, and it offers essential scientific background to help readers understand the context of climate litigation. Based on reports of the latest (sixth) assessment cycle of the Intergovernmental Panel on Climate Change, the authors begin with an overview of the components of the climate system, the carbon cycle, and the greenhouse gas effect. The second section looks backwards to show the influence that humans have had on climate change to date, while the third section focuses on the current impacts of climate change. The fourth section looks forward and presents future emissions scenarios and projected warming and impacts, highlighting both fast and slow onset climate changes. The final section evaluates progress toward the goals set in the Paris Agreement and explores strategies for stabilising global temperatures.

Information

Figure 0

Figure 2.1 Historical records of global carbon dioxide concentration levels (parts per million, ppm) and temperature (°C) over the past 60 million years. For context, humans developed around 250,000 years ago, and agriculture only developed 10,000 years ago with a more stable and warmer climate.13

Figure 1

Figure 2.2 Global net anthropogenic GHG emissions (GtCO2–eq yr–1) 1990–2019. Global net anthropogenic GHG emissions include CO2 from fossil fuel combustion and industrial processes (CO2–FFI); net CO2 from land use, land-use change, and forestry (CO2–LULUCF); methane (CH4); nitrous oxide (N2O); and fluorinated gases (HFCs, PFCs, SF6, NF3). At the right side of the panel, associated uncertainties for each of the components for 2019 are shown.22

Figure 2

Figure 2.3 Regional differentiations of greenhouse gas emissions. Panel (a): Cumulative regional carbon dioxide emissions from 1850 to 2019. Panel (b): Regional GHG emissions in tonnes CO2–eq per capita by region in 2019. Note that emissions from international aviation and shipping are not included. Key: Black = CO2 from fossil fuel combustion and industrial processes (CO2–FFI); Dark grey = net CO2 from land use, land-use change, and forestry (CO2–LULUCF); Light grey = Other GHG emissions.26

Figure 3

Figure 2.4 Observed warming is caused by emissions from human activities, with greenhouse gas warming partly masked by aerosol cooling. Panel (a): Changes in global surface temperature over the past 170 years (thick black line) relative to 1850–1900 and annually averaged, compared to climate model simulations (CMIP6) of the temperature response to both human and natural drivers (dark grey line and shading), and to only natural drivers (solar and volcanic activity) (light grey line and shading). Solid lines show the multi-model average, and shading shows the very likely range of simulations. Panel (b): The bar shows the observed increase of global surface temperature in 2010–2019 relative to 1850–1900 and its uncertainty range (black error bar line). Panel (c): Temperature change in 2010–2019 relative to 1850–1900 attributed to total human influence, change in well-mixed greenhouse gases concentrations, other human drivers (aerosols, ozone, and land-use change), natural drivers (solar and volcanic), and internal climate variability. Whiskers show uncertainty ranges (black error bar lines).32

Figure 4

Figure 2.5 Synthesis of assessed observed and attributable regional changes for (a) hot extremes (b) heavy precipitation and (c) agricultural and ecological drought. The inhabited regions as defined in the IPCC Working Group I Sixth Assessment Report are displayed as hexagons with identical size in their approximate geographical location. The shading of each hexagon corresponds to observed changes. The dots within each hexagon indicate the level of confidence in the human contribution to these changes. All assessments are made for the 1950s to the present. White and light-grey striped hexagons are used where there is low agreement in the type of change for the region as a whole, and light grey hexagons are used when there is limited data and/or literature that prevents an assessment of the region as a whole.36

Figure 5

Figure 2.6 Observed global and regional impacts on (a) ecosystems and (b) human systems attributed to climate change at global and regional scales. Confidence levels in the attribution of the observed impacts to climate change are given. Global assessments focus on large studies, multi-species, meta-analyses, and large reviews. For that reason, they can often be assessed with higher confidence than regional studies, which often rely on smaller studies that have more limited data. Regional assessments consider evidence on impacts across an entire region. For human systems (b), the + and – symbols indicate the direction of observed impacts, with a – denoting an increasing adverse impact and a ± denoting that, within a region or globally, both adverse and positive impacts have been observed.38

Figure 6

Figure 2.7 Linking carbon dioxide emissions, global warming, and effects on the climate systems. Panel (a): Top – Annual emissions of carbon dioxide for the five core Shared Socioeconomic Pathway (SSP) scenarios (very low: SSP1–1.9, low: SSP1–2.6, medium: SSP2–4.5, high: SSP3–7.0, very high SSP5–8.5). These scenarios are illustrative, meaning that they are not intended to be predictions of what will happen in the future; instead they serve an informative purpose to see how the Earth will respond to different situations. Bottom – Projected warming for each of these emissions scenarios. This figure is sourced from the Technical Summary Infographic. Panel (b): Top – How temperature extremes, droughts, heavy rainfall (precipitation) events, snow cover, and tropical cyclones change at different levels of global warming compared with the late nineteenth century (1850–1900). Today, here is the average over 2011–2020. Bottom – Long term (2,000 and 10,000 years) committed sea level rise for global warming of 1.5°C, 2°C, and 4°C).52

Figure 7

Figure 2.8 Observed and projected global mean sea level change and its impacts, and time scales of coastal risk management. Panel (a): Global mean sea level change in metres relative to 1900. The historical observed changes (black line) are recorded by tide gauges before 1992 and altimeters afterwards. The future changes from 2020 to 2100 and for 2150 are assessed consistently with observational constraints based on emulation of CMIP, ice-sheet, and glacier models, and median values and likely ranges are shown for the considered scenarios. Relative to 1995–2014, the likely global mean sea level rise by 2050 is between 0.15 to 0.23 m in the very low GHG emissions scenario (SSP1–1.9) and 0.20 to 0.29 m in the very high GHG emissions scenario (SSP5–8.5); by 2100 between 0.28 to 0.55 m under SSP1–1.9 and 0.63 to 1.01 m under SSP5–8.5; and by 2150 between 0.37 to 0.86 m under SSP1–1.9 and 0.98 to 1.88 m under SSP5–8.5 (medium confidence). Changes relative to 1900 are calculated by adding 0.158 m (observed global mean sea level rise from 1900 to 1995–2014) to simulated changes relative to 1995–2014. The future changes to 2300 (bars) are based on literature assessment, representing the 17th–83rd percentile range for SSP1–2.6 (0.3 to 3.1 m) and SSP5–8.5 (1.7 to 6.8 m). Dashed lines are showing a low-likelihood, high-impact storyline including ice-sheet instability processes. These indicate the potential impact of deeply uncertain processes and show the 83rd percentile of SSP5–8.5 projections that include low-likelihood, high-impact processes that cannot be ruled out; because of uncertainty surrounding these processes in the projections, this is not included as part of a likely range. IPCC AR6 global and regional sea level projections are hosted at https://sealevel.nasa.gov/ipcc–ar6–sea–level–projection–tool. The low-lying coastal zone is currently home to around 896 million people (nearly 11% of the 2020 global population), projected to reach more than one billion by 2050 across all five SSPs. Panel (b): Typical time scales for the planning, implementation (dashed white and grey bars), and operational lifetime of current coastal risk-management measures (fully grey bars). Higher rates of sea level rise demand earlier and stronger responses and reduce the lifetime of measures (inset). As the scale and pace of sea level rise accelerates beyond 2050, long-term adjustments may in some locations be beyond the limits of current adaptation options and could be an existential risk for some small islands and low-lying coasts.57

Figure 8

Figure 2.9 Synthetic diagrams of global and sectoral assessments and examples of key risks for global warming of 0–5°C global surface temperature change relative to pre-industrial period (1850–1900). Panel (a): Left – Global surface temperature changes in °C relative to 1850–1900. Very likely uncertainty ranges are shown for the low and high GHG emissions scenarios (SSP1–2.6 and SSP3–7.0). Right – Global Reasons for Concern (RFC), comparing AR6 (thick embers) and AR5 (thin embers) assessments. Risk transitions have generally shifted towards lower temperatures with updated scientific understanding. Diagrams are shown for each RFC, assuming low to no adaptation. Lines connect the midpoints of the transitions from moderate to high risk across AR5 and AR6. Panel (b): Selected global risks for land and ocean ecosystems, illustrating general increase of risk with global warming levels with low to no adaptation. The horizontal line denotes the present global warming of 1.09°C which is used to separate the observed, past impacts below the line from the future projected risks above it.67

Figure 9

Figure 2.10 Changes in annual mean surface temperature, precipitation, and soil moisture. Panel (a): Comparison of observed and simulated annual mean surface temperature change. The left map shows the observed changes in annual mean surface temperature in the period 1850–2020 per °C of global warming (°C). White indicates areas where time coverage was 100 years or less and thereby too short to calculate a reliable magnitude. The right map is based on model simulations and shows change in annual multi-model mean simulated temperatures at a global warming level of 1°C. Panel (b): Simulated annual mean temperature change (°C). Panel (c): Precipitation change (%). Panel (d): Total column soil moisture change at global warming levels of 1.5°C, 2°C, and 4°C.74

Figure 10

Figure 2.11 Synthetic diagrams of regional key risks. Diagrams show the change in the levels of impacts and risks assessed for global warming of 0–5°C global surface temperature change relative to pre-industrial period (1850–1900) over the range. Key risks are identified based on the magnitude of adverse consequences (pervasiveness of the consequences, degree of change, irreversibility of consequences, potential for impact thresholds or tipping points, potential for cascading effects beyond system boundaries); likelihood of adverse consequences; temporal characteristics of the risk; and ability to respond to the risk, for example, by adaptation. The full set of 127 assessed global and regional key risks is given in WGII Chapter 17 Supplementary Material Section SM16.7. The development of synthetic diagrams for Small Islands, Asia, and Central and South America were limited by the availability of adequately downscaled climate projections, with uncertainty in the direction of change, the diversity of climatologies and socioeconomic contexts across countries within a region, and the resulting low number of impact and risk projections for different warming levels. Absence of risks diagrams does not imply absence of risks within a region.76

Figure 11

Table 2.1 Historical carbon dioxide emissions and estimates of remaining carbon budgets. Estimated remaining carbon budgets are calculated from the beginning of 2020 and extend until global net-zero CO2 emissions are reached. They refer to CO2 emissions, while accounting for the global warming effect of non-CO2 emissions. Global warming in this table refers to human-induced global surface temperature increase, which excludes the impact of natural variability on global temperatures in individual years.92

Figure 12

Figure 2.12 Visual representation of historical carbon dioxide emissions and estimates of remaining carbon budgets for keeping warming to 1.5°C and 2°C with different levels of probability. The lower bars show how quickly the remaining carbon budgets are depleted if global CO2 emissions do not decline from current (in this case 2019) levels or if all emissions embedded in current and planned fossil fuel infrastructure are considered.93

Figure 13

Table 2.2 Key characteristics of the modelled global emissions pathways. Summary of projected CO2 and GHG emissions, projected net-zero timings, and the resulting global warming outcomes. Pathways are categorised (C1–C3), according to their likelihood of limiting warming to different peak warming levels in 2100. Values shown are for the median [p50] and 5th–95th percentiles [p5–p95], noting that not all pathways achieve net-zero CO2 or GHGs.97

Figure 14

Figure 2.13 Multiple opportunities for scaling up climate action. Panel (a): presents selected mitigation and adaptation options across different systems. Left – climate responses and adaptation options assessed for their multidimensional feasibility at global scale, in the near term and up to 1.5°C global warming. Six feasibility dimensions (economic, technological, institutional, social, environmental, and geophysical) were used to calculate the potential feasibility of climate responses and adaptation options, along with their synergies with mitigation. For potential feasibility and feasibility dimensions, the figure shows high, medium, or low feasibility. Synergies with mitigation are identified as high, medium, and low. Right – an overview of selected mitigation options and their estimated costs and potentials in 2030. The potential (horizontal axis) is the quantity of net GHG emission reduction that can be achieved by a given mitigation option relative to a specified emission baseline. The baseline used consists of current policy (around 2019) reference scenarios from the AR6 scenarios database (25–75 percentile values). Potentials are broken down into cost categories (see Net lifetime of cost options in the bottom right of panel (a)). The uncertainty in the total potential is typically 25–50%. Panel (b): displays the indicative potential of demand-side mitigation options for 2050. The left-pointing arrows represent the demand-side emissions reductions potentials. The range in potential is shown by a line connecting dots displaying the highest and the lowest potentials reported in the literature. The bottom row shows how demand-side mitigation options in other sectors can influence overall electricity demand. The dark grey bar shows the projected increase in electricity demand above the 2050 baseline due to increasing electrification in the other sectors. This projected increase in electricity demand can be avoided through demand-side mitigation options in the domains of infrastructure use and socio-cultural factors that influence electricity usage in industry, land transport, and buildings (indicated by the left-pointing arrow).109

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