text: For precipitation, generally similar changes are seen at 1.5°C global warming as at 2°C, but 
  smaller in magnitude (compare ﬁgures 16 and 4), suggesting that most of these changes are a 
  response to radiatively forced climate change as opposed to internal climate variability. However, 
  some localized changes do vary in sign between the GWLs, such as in South Australia, suggesting 
  a possible dominance of internal variability over the global warming signal in these places. 
  
  Where Rx5day increases, the increases are projected to be larger—in some cases approximately 
  double—at 2°C global warming than 1.5°C. Where Rx5day decreases, again the decreases are 
  projected to be larger at 2°C global warming than 1.5°C (ﬁgure 17). 
  
  Of the 122 countries assessed, 93 have smaller ensemble-mean HCVI calculated at 1.5°C global 
  warming than at 2°C, indicating an ensemble consensus that 76% of assessed countries would 
  see a smaller increase in vulnerability to food insecurity if global warming were limited to 1.5°C 
  (ﬁgures 18 and 19). Conversely, 24% of countries would, by this metric, see the same or higher 
  vulnerability to food insecurity at 1.5°C than 2°C. Of these, some are countries where HCVI 
  is projected to be lower at 2°C global warming than in the baseline. For example, in Mali the 
  ensemble-mean baseline HCVI of 0.83 increased slightly to 0.85 at 1.5°C then reduced to 0.81 
  at 2°C. In some countries, the ensemble-mean HCVI happened to be identical at both warming 
  levels. In Chad, for example, the baseline HCVI of 0.89 increased to 0.91 at both 1.5°C and 2°C. 