- African Union 2026
- Chapter 5
Compound drought, price and outbreak year
A conditional statement under stated assumptions, never a prediction.
Contents
- ·Edition home
- ·Executive summary
- 1The Union’s risk is shared across borders and carried by services that do not yet reach everyone
- 2Key findings
- 3Systems and sectors at baseline
- 4Risks and capability
- 5Compound drought, price and outbreak year
- 6Readings from the other desks
- 7The 2027 agenda
- 8Systems in depth
- AMethodology
- BData appendix
- CReferences and record
- ·Complete edition, for print
5.1Assumptions
Scenario SCN-AU-CLI-01: what is assumed, and what is held constant.
- Baseline
- the 2026 reference state in this edition
- Drivers
- failed rains and heat across several regions of the continent, with high food prices and a cholera or similar outbreak in the same year
- Analogues
- the undernourishment trend since 201816; the WMO decade record2
- Interventions
- none modelled; the specification describes the unmitigated case
- Run state
- narrative specification; quantified Foundry run scheduled for Q1 2027
5.2The cascade, step by step
- 1
CLI → FOO
drought and heat cut crop and livestock output
IPCC assessment38
- 2
FOO → HLT
prices rise and undernourishment grows
trend16
- 3
CLI → WAT
low flows cut safe water supply
water access22
- 4
WAT → HLT
unsafe water and weak sanitation raise outbreak risk
sanitation23
- 5
ENE → HLT
power and cooking gaps limit clinic and household response
- 6
HLT → FIN
public budgets absorb relief and response costs
to be bound in 2027
5.3The scenario as a table of steps
How the shock in scenario SCN-AU-CLI-01 would travel through African Union’s coupled systems, step by step, under the assumptions the edition states.
| Step | What happens | Source |
|---|---|---|
| 01 Climate to food | Drought and heat cut crop and livestock output. Analogue or source: IPCC assessment [38]. | Edition AU, scenario SCN-AU-CLI-01, step 1 |
| 02 Food to health | Prices rise and undernourishment grows. Analogue or source: trend [16]. | Edition AU, scenario SCN-AU-CLI-01, step 2 |
| 03 Climate to water | Low flows cut safe water supply. Analogue or source: water access [22]. | Edition AU, scenario SCN-AU-CLI-01, step 3 |
| 04 Water to health | Unsafe water and weak sanitation raise outbreak risk. Analogue or source: sanitation [23]. | Edition AU, scenario SCN-AU-CLI-01, step 4 |
| 05 Energy to health | Power and cooking gaps limit clinic and household response. Analogue or source: access [17] [18]. | Edition AU, scenario SCN-AU-CLI-01, step 5 |
| 06 Health to finance | Public budgets absorb relief and response costs. Analogue or source: to be bound in 2027. | Edition AU, scenario SCN-AU-CLI-01, step 6 |
A teaching model of a conditional scenario under the edition’s stated assumptions: not a forecast, not a prediction and not a warning. Sources: African Union 2026, scenario SCN-AU-CLI-01 (2026); African Union 2026, references (NR-CIT-1) (2026).
Notes
Numbers are the edition’s reference numbers, so a note reads the same in every chapter. The full list, with every source and its licence, is in Annex C. Annex C, references
- 16World Bank (ed.), “Prevalence of undernourishment (% of population), Sub-Saharan Africa,” World Development Indicators, SN.ITK.DEFC.ZS, series compiled by the Food and Agriculture Organization. World Bank, Washington DC, observation 2024, retrieved 2026-11-03.back
- 2World Meteorological Organization (ed.), State of the Climate in Africa 2024. WMO, Geneva, 12 May 2025, summary page retrieved 2026-11-03.back
- 38C. H. Trisos, I. O. Adelekan, E. Totin et al., “Africa,” in H.-O. Pörtner et al. (eds.), Climate Change 2022: Impacts, Adaptation and Vulnerability, Contribution of Working Group II to the Sixth Assessment Report of the IPCC, chapter 9. Cambridge University Press, 2022.back
- 22World Bank (ed.), “People using safely managed drinking water services (% of population), Sub-Saharan Africa,” World Development Indicators, SH.H2O.SMDW.ZS, series compiled by the WHO and UNICEF Joint Monitoring Programme. World Bank, Washington DC, observation 2024, retrieved 2026-11-03.back
- 23World Bank (ed.), “People using safely managed sanitation services (% of population), Sub-Saharan Africa,” World Development Indicators, SH.STA.SMSS.ZS, series compiled by the WHO and UNICEF Joint Monitoring Programme. World Bank, Washington DC, observation 2024, retrieved 2026-11-03.back
- 17World Bank (ed.), “Access to electricity (% of population), Sub-Saharan Africa,” World Development Indicators, EG.ELC.ACCS.ZS. World Bank, Washington DC, observation 2024, data updated 8 October 2026, retrieved 2026-11-03.back
- 18World Bank (ed.), “Access to clean fuels and technologies for cooking (% of population), Sub-Saharan Africa,” World Development Indicators, EG.CFT.ACCS.ZS. World Bank, Washington DC, observation 2024, retrieved 2026-11-03.back
