The Paris Agreement and NDCs: are the national mitigation targets sufficient to stay below the 1.5-2°C limit?

Short introduction on Chad’s emissions

Although CO₂ is the driving force behind the temperature changes, other gases such as methane (CH₄) also contribute their share to global warming, for example through the exploitation of gas fields, and emissions by livestock. While methane is emitted much less than CO₂ on a global scale, it is a much stronger greenhouse gas (GHG). Scientists estimated the relative strength of the important Kyoto greenhouse gases so that we can convert all emissions to an equivalent of CO₂ emissions. For example, the emission of one ton of methane has approximately the warming effect of 25 tons of CO₂. The factor of 25 reflects the climate forcing on a 100-year time horizon, following the Global Warming Potential presented in the IPCC Fourth Assessment Report (AR4).

With greenhouse gas emissions of approximately the equivalent of 76.4 mega tonnes of CO₂ (Mt CO₂eq), Chad contributed 0.16% to the global greenhouse gas emissions of 2017 (rank 67 - incl. EU27 on rank 3). All emissions estimates exclude emissions and absorption from land, which result from activities such as cutting down or planting of forests (Land Use, Land-Use Change and Forestry: LULUCF). Emissions from bunker fuels (international aviation and shipping) were also excluded, as they are not accounted for in national totals.

For 2030, Chad’s global contribution to greenhouse gas emissions is projected to decrease to approximately 0.12% (71.4 mega tonnes of CO₂ equivalent / rank 73 - incl. EU27 on rank 4). The emissions projections for Chad were derived by downscaling the Shared Socio-Economic Pathways’ (SSPs) “Middle-of-the-Road” baseline marker scenario SSP2. These pathways describe certain narratives of socio-economic developments and were, i.a., used to derive greenhouse gas emissions scenarios that correspond to these developments. SSP2 is a narrative with little shifts in socio-economic patterns compared to historical ones, and is connected to medium socio-economic challenges for both climate mitigation and adaptation. While different models were used for each storyline, per SSP (SSPs1-5) one model was chosen as representative “marker scenario”. As the emissions projections are not readily available on country-level, but national estimates are important, the pathways were downscaled in the aftermath. In 2017, Chad represented 0.19% of the global population. Its Gross Domestic Product (GDP) in 2017 were 0.018% of the global GDP.

Looking at the highest contributing emissions sectors and gases separately, we find that in 2017 the highest contributing emissions sectors were Agriculture and Energy (93.0% and 6.1%). Amongst the greenhouse gases that are considered in the Kyoto Protocol, the strongest contributor with 64.7% was CH₄. This was followed by N₂O emissions, with a significantly lower share of 33.8%. When not considering the sectors and gases independently, but the sector-gas combinations instead, Agriculture CH₄ and Agriculture N₂O (59.7% and 33.2%) represented the largest emissions in 2017.

Greenhouse gas mitigation and Nationally Determined Contribution (NDC)

In 2015, the majority of countries agreed to the Paris Agreement (PA), with the goal of “Holding the increase in the global average temperature to well below 2°C above pre-industrial levels and pursuing efforts to limit the temperature increase to 1.5°C above pre-industrial levels, recognizing that this would significantly reduce the risks and impacts of climate change” (Article 2.1.a). Countries stated their pledges and targets towards achieving the PA’s goals in their Nationally Determined Contributions (NDCs). With Article 4.4 of the Paris Agreement, Parties decided that “Developed country Parties should continue taking the lead by undertaking economy-wide absolute emission reduction targets. Developing country Parties should continue enhancing their mitigation efforts, and are encouraged to move over time towards economy-wide emission reduction or limitation targets in the light of different national circumstances.”

In its NDC, Chad communicates an unconditional and conditional contribution to reduce GHG emissions compared to Business-As-Usual (BAU) by 2030. The unconditional part consists of a “Reduction of 18.2% of GHG emissions in comparison with reference scenario (BaU) by 2030.”, while the (non-additive) conditional contribution is a “Reduction of 71% of GHG emissions, between 2016 and 2030 in comparison with reference scenario.” (NDC, p. 12). The conditional part “will be dependent on the financial support received from the international community.” (NDC, p. 12).

Chad provides target quantifications for the planned 18.2-71% reduction compared to BAU in its NDC. The availability of national estimates of emissions mitigation targets and pathways in line with countries’ NDCs is of great importance when, e.g., aggregating to global emissions to then derive, i.a., the resulting end-of-century warming levels. The BAU scenario emissions and mitigated scenarios are given per sector (NDC, p. 12), with the estimated 2030 BAU emissions amounting to 28.659 MtCO₂eq AR4 (inclLU, GWP: NDC, p. 14) for a 2010 BAU reference year (NDC, p. 5). In the reference scenario, LULUCF is estimated to be a net sink of -17.387 MtCO₂eq AR4, resulting in 46.047 MtCO₂eq AR4 emissions when excluding LULUCF. The absolute target emissions (NDC, p. 12) are 23.449 MtCO₂eq AR4 for the unconditional 18.2% reduction, and 8.229 MtCO₂eq AR4 for the conditional 71.0% reduction (inclLU). As the sectoral information is provided, we can additionally calculate the target emissions when excluding LULUCF, which amount to 40.837 MtCO₂eq AR4 (-11.3%), or 32.642 MtCO₂eq AR4 (-29.1%) for the unconditional and conditional case, respectively.

Regarding the coverage, Chad states the “Coverage and scope of the contribution [to be] Energy, Agriculture/Livestock, Land use and forestry, Waste” (NDC, p. 5). Therefore, from the main IPCC emissions sectors (Energy, IPPU, Agriculture, LULUCF, and Waste), we assume the IPPU sector not to be covered. From the Kyoto GHGs, CO₂, CH₄, and N₂O are targeted (NDC, p. 5). Additionally, more detail is provided on which gas is in scope for which sector (NDC, p. 13, Energy: CO₂, CH₄, N₂O; Agriculture/Livestock: CH₄, N₂O; Land use and forestry: CO₂; Waste: CH₄, N₂O). Based on this information, we assume F-gases not to be covered. In total, our assessment of covered sectors and gases results in an estimated 99.7% of 2017’ emissions being targeted by the NDC (based on PRIMAP-hist v2.1 HISTCR exclLU, in AR4).

The NDC-assessment is based on Chad’s NDC submitted to the UNFCCC in January 2017.

The Figure below provides additional information, regarding both the baseline emissions used in our assessment and the quantified mitigated pathways for Chad.

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Baseline emissions and mitigated emissions pathways based on the country’s Nationally Determined Contribution. In terms of national emissions, we look at the SSP2 baseline marker scenario, and the emissions of all IPCC sectors. Contributions from LULUCF are excluded (exclLU), and the emissions are based on GWPs from AR4. The left panel (a) shows the baseline emissions, indicating the contributions of the Kyoto Greenhouse Gases CO₂, CH₄, N₂O, and the basket of F-gases to the national emissions. If we could extract baseline data exclLU from the NDC, you can see their values as black squares (converted from GWP SAR to AR4 if needed). In the right panel (b), the quantified mitigated emissions pathways are shown, based on information from the country’s NDC and also on non-NDC emissions baselines, per target conditionality and range (marked un-/conditional best/worst). Even though not all countries have targets with different conditionalities or ranges, we need assumptions for all four cases to build one global pathway per conditionality plus range combination and to derive corresponding temperature estimates. Therefore, we indicate these four pathways here. Per combination, we performed several quantifications with differing assumptions and show the median and the minimal and maximal pathways here. Additionally, if we could quantify the targets based on data extracted purely from the NDC - or if the targets were directly given in absolute emissions, these targets are shown as squares (in the GWP originally given in the NDC).

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FIG 1

Data sources and further information

• Historical emissions: PRIMAP-hist v2.1 (Guetschow et al., 2016, 2019).
• Historical socio-economic data: PRIMAP-hist Socio-Eco v2.1 (Guetschow et al., 2019).
• Projected emissions and socio-economic data: downscaled SSPs (Guetschow et al., 2020, 2020).
• NDC quantifications: NDCmitiQ (Guenther et al., 2020, 2021).
• GDP is given in purchasing power parity (PPP).
• Main emissions sectors (Intergovernmental Panel on Climate Change, IPCC): Energy, Industrial Processes and Product Use (IPPU), Agriculture and LULUCF (Land Use, Land-Use Change and Forestry), also named AFOLU (Agriculture, Forestry and Other Land Use), and Waste.
• Kyoto GHG: basket of several GHGs, namely carbon dioxide (CO₂), Methane (CH₄), nitrous oxide (N₂O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), sulphur hexafluoride (SF₆), and since the second Kyoto Protocol period (2013-20) additionally nitrogen fluoride (NF₃).
• Global Warming Potentials (GWPs): GHGs have very different warming potentials. To make them comparable and for aggregation purposes, GWPs are used (how much energy will 1 ton of a certain gas absorb over a defined period of time, relative to the same mass of CO₂?).