Mpumalanga
Mpumalanga
Climate Change Information System
Climate Change Information System
Embedded Files
Download Spatial Data
Download Spatial Data
Climate Change Projections
Climate Change Projections
The conformal-cubic atmospheric model (CCAM) was used as the regional climate model, a variable-resolution globalclimate model (GCM) developed by the Common-wealth Scientific and Industrial Research Organisation (CSIRO) was used, Six GCM simulations of the Coupled Model Intercomparison Project Phase Five (CMIP5) and Assessment Report Five (AR5) of the Intergovernmental Panel on Climate Change (IPCC) for the emission scenarios described by Representative Concentration Pathway 8.5 (RCP 8.5) were used at a 8 km resolution. Future climate projections obtained at the 10th, 50th and 90th percentile.
The conformal-cubic atmospheric model (CCAM) was used as the regional climate model, a variable-resolution globalclimate model (GCM) developed by the Common-wealth Scientific and Industrial Research Organisation (CSIRO) was used, Six GCM simulations of the Coupled Model Intercomparison Project Phase Five (CMIP5) and Assessment Report Five (AR5) of the Intergovernmental Panel on Climate Change (IPCC) for the emission scenarios described by Representative Concentration Pathway 8.5 (RCP 8.5) were used at a 8 km resolution. Future climate projections obtained at the 10th, 50th and 90th percentile.
Metrics Available include:
Metrics Available include:
Agricultural drought as indicated by the consecutive dry days (cdd) index
Flooding as indicated by the consecutive wet days (cwd) index
Diurnal temperature range (dtr)
Number of precipitation days > 20mm (r20mm)
Maximum 5day precipitation > 5mm (rx5day)
Monthly maximum of daily min temperature (tnx)
Monthly maximum of daily man temperature (txx)
Extreme Rainfall Metrics
Extreme Rainfall Metrics
A total of 60 weather stations were used for the rainfall trend analysis spanning the period 1921-2015. An extreme rainfall trend analysis is also performed, based on rainfall extreme indices developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI) (Wang and Feng, 2013). The base period, from which the annual index values of all indices are determined (except the annual maxima and minima) was selected as 1981 – 2010, which can be considered to be the present general norm for similar trend studies. The trends were tested for significance at the 95% confidence level.
A total of 60 weather stations were used for the rainfall trend analysis spanning the period 1921-2015. An extreme rainfall trend analysis is also performed, based on rainfall extreme indices developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI) (Wang and Feng, 2013). The base period, from which the annual index values of all indices are determined (except the annual maxima and minima) was selected as 1981 – 2010, which can be considered to be the present general norm for similar trend studies. The trends were tested for significance at the 95% confidence level.
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