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  "agreement": "true",
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  "agreement": "true",
            
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  "alternative_identifier": 
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  "alternative_identifier": 
            
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"http://dx.doi.org/10.17159/2309-8775/2023/v65n4a1",
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"http://dx.doi.org/10.17159/2309-8775/2023/v65n4a1",
            
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  "authors": [
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  "authors": [
            
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    {
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      "author_department": "School of Bioresources Engineering and 
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      "author_department": "School of Bioresources Engineering and 
            
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Environmental Hydrology (formerly Department of Agricultural 
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Environmental Hydrology (formerly Department of Agricultural 
            
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Engineering)",
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Engineering)",
            
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      "author_email": "schulzer@ukzn.ac.za",
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      "author_email": "schulzer@ukzn.ac.za",
            
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      "author_name": "Roland ",
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      "author_name": "Roland ",
            
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      "author_organization": "University of KwaZulu-Natal",
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      "author_organization": "University of KwaZulu-Natal",
            
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      "author_surname": "Schulze",
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  "citation_title": "SCHULZE, R.E. (Ed.) (2007) South African Atlas of 
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  "citation_title": "SCHULZE, R.E. (Ed.) (2007) South African Atlas of 
            
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Climatology and Agrohydrology. WRC Report 1489/1/06, Water Research 
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Climatology and Agrohydrology. WRC Report 1489/1/06, Water Research 
            
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Commission, Pretoria, RSA.",
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Commission, Pretoria, RSA.",
            
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    {
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      "contact_department": "School of Bioresources Engineering and 
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      "contact_department": "School of Bioresources Engineering and 
            
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Environmental Hydrology (formerly Department of Agricultural 
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Environmental Hydrology (formerly Department of Agricultural 
            
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Engineering)",
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Engineering)",
            
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      "contact_email": "schulzer@ukzn.ac.za",
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      "contact_email": "schulzer@ukzn.ac.za",
            
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      "contact_name": "Roland ",
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      "contact_name": "Roland ",
            
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      "contact_orgnization": "University of KwaZulu-Natal"
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      "contact_orgnization": "University of KwaZulu-Natal"
            
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  "data_structure_category": "semi-structured",
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  "data_structure_category": "semi-structured",
            
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  "dataset_language": "English",
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  "dataset_language": "English",
            
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  "keywords": "Agrohydrology, Climatology, South Africa, Rainfall, 
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  "keywords": "Agrohydrology, Climatology, South Africa, Rainfall, 
            
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Temperature, Solar radiation, Hydrology, Agriculture, Modelling, GIS, 
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Temperature, Solar radiation, Hydrology, Agriculture, Modelling, GIS, 
            
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Water resources, Climate variability",
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Water resources, Climate variability",
            
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  "license": "Open (Creative Commons)",
            
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  "name": "atlas-of-agrohydrology-2008-zip",
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  "name": "atlas-of-agrohydrology-2008-zip",
            
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  "notes": "The South African Atlas of Climatology and Agrohydrology 
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  "notes": "The South African Atlas of Climatology and Agrohydrology 
            
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is an extensive, region\u2011wide reference compiling detailed spatial 
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is an extensive, region\u2011wide reference compiling detailed spatial 
            
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and temporal climatic and agrohydrological information for South 
69
and temporal climatic and agrohydrological information for South 
            
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Africa, Lesotho and Eswatini. The Atlas integrates over two decades of 
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Africa, Lesotho and Eswatini. The Atlas integrates over two decades of 
            
71
research on temperature, rainfall, evaporation, soils, agricultural 
71
research on temperature, rainfall, evaporation, soils, agricultural 
            
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production potential, hydrology, natural hazards and other 
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production potential, hydrology, natural hazards and other 
            
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environmental datasets. It draws on climate station observations and 
73
environmental datasets. It draws on climate station observations and 
            
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uses regression\u2011based and simulation\u2011based modelling to 
74
uses regression\u2011based and simulation\u2011based modelling to 
            
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extend climatic parameters to unmapped regions, providing a consistent 
75
extend climatic parameters to unmapped regions, providing a consistent 
            
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national\u2011scale spatial representation of climate and 
76
national\u2011scale spatial representation of climate and 
            
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hydrology.\r\n\r\nThe Atlas includes more than 330 pages of text, over 
77
hydrology.\r\n\r\nThe Atlas includes more than 330 pages of text, over 
            
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700 maps, 120 figures, 111 photos, and 470 statistical tables. It 
78
700 maps, 120 figures, 111 photos, and 470 statistical tables. It 
            
79
synthesises data on precipitation, temperature, solar radiation, 
79
synthesises data on precipitation, temperature, solar radiation, 
            
80
vapour pressure, relative humidity, potential evaporation, frost, 
80
vapour pressure, relative humidity, potential evaporation, frost, 
            
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agricultural yields, natural hazards and hydrological dynamics such as 
81
agricultural yields, natural hazards and hydrological dynamics such as 
            
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stormflow, recharge, runoff and streamflow. These datasets support 
82
stormflow, recharge, runoff and streamflow. These datasets support 
            
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regional resource planning in water and agriculture, enabling users to 
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regional resource planning in water and agriculture, enabling users to 
            
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understand climatic gradients, variability and long\u2011term 
84
understand climatic gradients, variability and long\u2011term 
            
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environmental patterns.\r\n\r\nImportantly, the Atlas offers \u201cbig 
85
environmental patterns.\r\n\r\nImportantly, the Atlas offers \u201cbig 
            
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picture\u201d regional insights rather than farm\u2011level precision. 
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picture\u201d regional insights rather than farm\u2011level precision. 
            
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Values at specific locations are derived from interpolation and 
87
Values at specific locations are derived from interpolation and 
            
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modelling processes and should be interpreted in a relative rather 
88
modelling processes and should be interpreted in a relative rather 
            
89
than absolute sense. The project consolidates climate databases 
89
than absolute sense. The project consolidates climate databases 
            
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developed in preceding Water Research Commission (WRC) studies, 
90
developed in preceding Water Research Commission (WRC) studies, 
            
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integrates soils and land\u2011cover datasets, and incorporates 
91
integrates soils and land\u2011cover datasets, and incorporates 
            
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improvements in GIS and computational capability.las of 
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improvements in GIS and computational capability.las of 
            
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Agrohydrology_2008.zip",
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      "dataset_description": "The Atlas of Agrohydrology provides 
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      "dataset_description": "The Atlas of Agrohydrology provides 
            
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regional\u2011scale maps and analyses of key climatic and hydrological 
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regional\u2011scale maps and analyses of key climatic and hydrological 
            
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parameters important for agriculture and water resource planning. It 
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parameters important for agriculture and water resource planning. It 
            
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compiles spatial data\u2014such as precipitation, temperature, and 
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compiles spatial data\u2014such as precipitation, temperature, and 
            
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potential evaporation\u2014and applies them to support modelling, 
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potential evaporation\u2014and applies them to support modelling, 
            
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decision\u2011making, and long\u2011term resource management across 
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decision\u2011making, and long\u2011term resource management across 
            
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southern Africa. Its purpose is to offer a functional, 
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southern Africa. Its purpose is to offer a functional, 
            
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\u201cbig\u2011picture\u201d view of agrohydrological patterns while 
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\u201cbig\u2011picture\u201d view of agrohydrological patterns while 
            
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still giving enough detail to guide regional planning in agriculture 
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still giving enough detail to guide regional planning in agriculture 
            
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and water management.",
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