South Africa

### BioEnergy Atlas Synthesis Report - Full Report and Annexures

W.J. Hugo
The BioEnergy Atlas project was commisioned by Department of Science and Technology and managed by SAEON. It has produced a range of outputs, in both electronic and printed format. The data sets, attendant metadata and fact sheets (non-spatial data inputs) are all available online and can be accessed via an interactive web-based atlas, a search facility and an interactive decision-support tool. Reports dealing with the main themes of the Atlas, as well as case studies...

### BioEnergy Atlas Synopsis Report

W.J. Hugo
The BioEnergy Atlas project was commisioned by Department of Science and Technology and managed by SAEON. It has produced a range of outputs, in both electronic and printed format. The data sets, attendant metadata and fact sheets (non-spatial data inputs) are all available online and can be accessed via an interactive web-based atlas, a search facility and an interactive decision-support tool. Reports dealing with the main themes of the Atlas, as well as case studies...

### Winter Rainfall Crops

A. Fourie
The dataset includes all field boundaries in the Western Cape province, with the associated winter crops. The digitising of the fields where done from Spot 5 satellite imagery of 2011 and 2012, as well as aerial photography of 2010. The low-level aerial survey of 2013 was conducted to observe crops per field per farm in order to populate the attributers for fields digitised as above. Some ground survey was carried out where aerial observation could...

### Rainfall days per month for Current Climate (1950-1999)

Christopher Jack
Model Run: Control - Current Climate (Observed/current climate as modelled by climate model). The Self-Organizing Map Downscaling (SOMD) was developed at the Climate Systems Analysis Group (CSAG)[1], University of Cape Town. This is a leading empirical downscaled technique and provides meteorological station level response to global climate change forcing (See Hewitson and Crane (2006) for methodological details and Wilby et al. (2004) for a review of this and other statistical downscaling methodologies). Downscaling of a...

### Number of days for Maximum Temperature under 10th percentile for Current Climate (1950-1999)

Christopher Jack
Model Run: Control - Current Climate (Observed/current climate as modelled by climate model). The Self-Organizing Map Downscaling (SOMD) was developed at the Climate Systems Analysis Group (CSAG)[1], University of Cape Town. This is a leading empirical downscaled technique and provides meteorological station level response to global climate change forcing (See Hewitson and Crane (2006) for methodological details and Wilby et al. (2004) for a review of this and other statistical downscaling methodologies). Downscaling of a...

### Minimum of Maximum Temperature for Far Future (2080 - 2100)

Christopher Jack
Model Run: Far future (2080 - 2100) (Far future (2080 - 2100)). The Self-Organizing Map Downscaling (SOMD) was developed at the Climate Systems Analysis Group (CSAG)[1], University of Cape Town. This is a leading empirical downscaled technique and provides meteorological station level response to global climate change forcing (See Hewitson and Crane (2006) for methodological details and Wilby et al. (2004) for a review of this and other statistical downscaling methodologies). Downscaling of a General...

### Mean of Maximum Temperature for Near Future (2046-2065)

Christopher Jack
Model Run: Near future (2046 - 2065) (Near future (2046 - 2065)). The Self-Organizing Map Downscaling (SOMD) was developed at the Climate Systems Analysis Group (CSAG)[1], University of Cape Town. This is a leading empirical downscaled technique and provides meteorological station level response to global climate change forcing (See Hewitson and Crane (2006) for methodological details and Wilby et al. (2004) for a review of this and other statistical downscaling methodologies). Downscaling of a General...

### Maximum of Minimum Temperature for Current Climate (1950-1999)

Christopher Jack
Model Run: Control - Current Climate (Observed/current climate as modelled by climate model). The Self-Organizing Map Downscaling (SOMD) was developed at the Climate Systems Analysis Group (CSAG)[1], University of Cape Town. This is a leading empirical downscaled technique and provides meteorological station level response to global climate change forcing (See Hewitson and Crane (2006) for methodological details and Wilby et al. (2004) for a review of this and other statistical downscaling methodologies). Downscaling of a...

### Rainfall days per month (> 10mm) for Current Climate (1950-1999)

Christopher Jack
Model Run: Control - Current Climate (Observed/current climate as modelled by climate model). The Self-Organizing Map Downscaling (SOMD) was developed at the Climate Systems Analysis Group (CSAG)[1], University of Cape Town. This is a leading empirical downscaled technique and provides meteorological station level response to global climate change forcing (See Hewitson and Crane (2006) for methodological details and Wilby et al. (2004) for a review of this and other statistical downscaling methodologies). Downscaling of a...

### Median monthly precipitation (mm) for Far Future (2080 - 2100)

Christopher Jack
Model Run: Far future (2080 - 2100) (Far future (2080 - 2100)). The Self-Organizing Map Downscaling (SOMD) was developed at the Climate Systems Analysis Group (CSAG)[1], University of Cape Town. This is a leading empirical downscaled technique and provides meteorological station level response to global climate change forcing (See Hewitson and Crane (2006) for methodological details and Wilby et al. (2004) for a review of this and other statistical downscaling methodologies). Downscaling of a General...

### Consecutive Dry Days for Near Future (2046-2065)

Christopher Jack
Model Run: Near future (2046 - 2065) (Near future (2046 - 2065)). The Self-Organizing Map Downscaling (SOMD) was developed at the Climate Systems Analysis Group (CSAG)[1], University of Cape Town. This is a leading empirical downscaled technique and provides meteorological station level response to global climate change forcing (See Hewitson and Crane (2006) for methodological details and Wilby et al. (2004) for a review of this and other statistical downscaling methodologies). Downscaling of a General...

### Acacia mearnsii Growth areas and Yield estimation

R.E. Schulze & M. Maharaj
A native of southeastern Australia, Acacia mearnsii is an evergreen tree growing to 15 m in height. A. mearnsii has proved to be the most drought resistant of the commercial hardwoods grown in South Africa (Herbert, 1993). Acacia mearnsii requires a MAP of 750 mm in colder areas and 850 mm where it is warmer (Smith, 1998). Ideally, mean annual temperature should be in the range 16 - 19 degree Celsius, but with A. mearnsii...

### Days / Year With Mild Soil Water Stress In A 0.9m Sandy Clay Loam

R.E. Schulze, P.J. Hull & M. Maharaj
This dataset contains the soil water stress in South Africa. The importance of soil water content in agricultural applications is vital since the need to irrigate occurs when the actual soil water content is less than the critical soil water content at which plant stress commences. The objective of soil water stress mapping was to determine, for each Quaternary Catchment (QC) with its unique rainfall, temperature and potential evaporation climate, the number of days per...

### Uncorrected Vapour Pressure (kPa) December

R.E. Schulze & M. Maharaj
Actual vapour pressure, i.e. the variable expressing atmospheric moisture content through the partial pressure exerted by the water vapour present in the atmosphere, to be a conservative climatic element which could be expressed adequately as a relatively consistent monthly value (cf. shaded box which follows). The monthly uncorrected vapour pressure, ed, at any given location in South Africa was subsequently held constant for that entire month and derivatives of ed, such as daily maximum and...

### Standard Deviations (C) Of Daily Mean Temperature September

R.E. Schulze & M. Maharaj
Under conditions of natural vegetation, mean temperatures are used to distinguish between three broad thermal divisions of plants, viz. mega-thermal plants, which require mean monthly temperatures above 20 degree Celsius for at least 4 months of the year; micro-thermal plants, which grow where 8 months or longer have means below 10 degree Celsius; and the meso-thermal plants of the mid-latitudes, which cover most of South Africa, and whose physiology is adapted to the strong seasonal...

### Saturated Vapour Pressure (kPa) July

R.E. Schulze & M. Maharaj
The average energy of the molecules in a liquid such as water is governed by temperature. The higher the temperature, the higher the average energy. Some molecules have higher energies than the average, and if they are on the surface of the liquid, can move fast enough to escape the inter-molecular attractive forces holding the liquid together. They then evaporate from the surface of the liquid. This process can continue until the space above the...

### January Means Of Reference Crop Evaporation (mm) Fao Penman-Monteith Equivalent

R.E. Schulze, M. Maharaj & N. Moult
The FAO (1992) definition of Penman-Monteith derived reference crop evaporation (Erpm) is The rate of evapotranspiration from a hypothetical crop with an assumed crop height of 0.12 m, a fixed canopy resistance of 70 s.m-1 and albedo of 0.23, which would closely resemble evapotranspiration from an extensive surface of green grass cover of uniform height, actively growing, completely shading the ground and not short of water. The first detailed maps for South Africa of Penman-Monteith...

### Monthly Means Of Daily Maximum Relative Humidity (%) July

R.E. Schulze, R.D. Chapman & M. Maharaj
Daily minimum and maximum relative humidity is necessary as relative humidity, defined for practical purposes as the ratio of actual to saturated vapour pressure, expressed as a percentage generally varies considerably in the course of a day because, despite actual vapour pressure, ed, remaining relatively constant, saturated vapour pressure, ea, varies curvilinearly with temperature. The minimum RH of a day is thus experienced during the hottest part of the day when ea is high and...

### Monthly Rainfall and its Inter-Annual Variability (August)

R.E. Schulze & S.D. Lynch
Monthly rainfall totals are necessary to many water resources as well as agricultural problems and decisions for which MAPs, or even wet/dry season precipitation totals be they high or low, are of relatively little consequence, because an intra-year distribution of rainfall is required (Schulze, 1997). Monthly rainfall values then serve as an important tool in describing such an intra-year distribution. It should, however, be borne in mind that the use of the calendar month is...

### Soil Organic Carbon – Unperturbed (gC/sq.m)

CSIR
Soil Organic Carbon (SOC) represents all the organic carbon in the soil to a depth of 1m. SOC is derived from the data provided by the Africa Soil Information System (AfSIS). In this case the organic carbon of the top 300mm of the natural soil was NOT reduced by land cover factors. Units: average gC/m2within 1km x 1km pixel

### Economical exposition to flood

Pascal Peduzzi
This dataset includes an estimate of the annual economical exposition to flood. It is based on four sources: 1) A GIS modeling using a statistical estimation of peak-flow magnitude and a hydrological model using HydroSHEDS dataset and the Manning equation to estimate river stage for the calculated discharge value. 2) Observed flood from 1999 to 2007, obtained from the Dartmouth Flood Observatory (DFO). 3) The frequency was set using the frequency from UNEP/GRID-Europe PREVIEW flood...

### Global estimated risk index for landslide hazard triggered by precipitations

Pascal Peduzzi
This dataset includes an estimate of the global risk induced by landslide hazard triggered by precipitations. Unit is estimated risk index from 1 (low) to 5 (extreme). This product was designed by UNEP/GRID-Europe for the Global Assessment Report on Risk Reduction (GAR). It was modeled using global data. Credit: UNEP/GRID-Europe.

### Economical exposition to landslides triggered by precipitations

Helge Smebye
This dataset includes an estimate of the annual economical exposition of landslide triggered by precipitations. It depends on the combination of trigger and susceptibility defined by six parameters: slope factor, lithological (or geological) conditions, soil moisture condition, vegetation cover, precipitation and seismic conditions. A Global Domestic Product grid for the year 2010, provided by the World Bank, has also been used. Unit is expected average annual GDP (2010 as the year of reference) exposed in...

### Physical exposition to landslides triggered by precipitations

Helge Smebye
This dataset includes an estimate of the annual physical exposition of landslide triggered by precipitations. It depends on the combination of trigger and susceptibility defined by six parameters: slope factor, lithological (or geological) conditions, soil moisture condition, vegetation cover, precipitation and seismic conditions. A population grid for the year 2010, provided by LandScanTM Global Population Database (Oak Ridge, TN: Oak Ridge National Laboratory). Unit is expected average annual population (2010 as the year of reference)...

### Physical exposition to landslides triggered by earthquakes

Helge Smebye
This dataset includes an estimate of the annual physical exposition of landslide triggered by earthquakes. It depends on the combination of trigger and susceptibility defined by six parameters: slope factor, lithological (or geological) conditions, soil moisture condition, vegetation cover, precipitation and seismic conditions. A population grid for the year 2010, provided by LandScanTM Global Population Database (Oak Ridge, TN: Oak Ridge National Laboratory) has also been used. Unit is expected average annual population (2010 as...

• Dataset
1,549
• Audiovisual
1
• Software
1

• 2018
19
• 2017
313
• 2016
6
• 2015
70
• 2014
38
• 2013
10
• 2012
1
• 2011
601
• 2010
2
• 2009
1
• 2008
2
• 2007
476
• 2006
3
• 2005
8
• 2000
1

• 2018
1,549
• 2016
2

#### Data Centers

• SAEON Data Centre
1,551