Table 1 Using ROF advanced detection methods, the impact of specific drivers on temperature shifts is calculated. The table outlines model-based assessments of temperature differences caused by various factors, expressed in Celsius, for the industrial age relative to the time before industrialization. The \(\beta\), denoting the vector of estimated coefficients, along with the 5–95% confidence ranges (shown in brackets) representing the estimated warming attributable to each factor. From the primary multimodel analysis (represented in the first row) and from HadCRUT5 data (in the second row). These estimates encompass an analysis equivalent to that of the Natural Forcings (NAT), Anthropogenic forcing (Ant), Anthropogenic Aerosols (Aaer), Greenhouse Gases forcings (GHG), and Land Use forcings (LU).
From: Human-induced temperature rise is driving Africa towards drought-prone climatic conditions
NAT | Ant | Aaer | GHG | LU | |
|---|---|---|---|---|---|
All (Ant+NAT) | 0.015 (-0.03 to 0.06) | 0.93 (0.80 to 1.06) | -1.59 (-1.82 to -1.36) | 0.70 (0.47 to 0.92) | 0.55 (0.47 to 0.63) |
HadCRUT5 | 0.015 (-0.04 to 0.07) | 0.93 (0.80 to 1.06) | -1.62 (-1.85 to -1.40) | 0.71 (0.62 to 0.80) | 0.54 (0.45 to 0.63) |
