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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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  "author": null,
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  "authors": [
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  "authors": [
            
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    {
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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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      "author_surname": "Schulze",
            
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      "contact_same_as_author": "True"
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      "contact_same_as_author": "True"
            
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    }
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    }
            
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  ],
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  ],
            
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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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  "contact_person": [
            
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    {
            
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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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Engineering)",
            
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      "contact_email": "schulzer@ukzn.ac.za",
            
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      "contact_name": "Roland ",
            
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      "contact_orgnization": "University of KwaZulu-Natal"
            
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  ],
            
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      "data_reference_date_from": "2008-01-01",
            
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  ],
            
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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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  "email": "vanderLaanM@arc.agric.za",
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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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  "license_id": null,
            
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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": "Auto-imported dataset for AtThe South African Atlas of 
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  "notes": "Auto-imported dataset for AtThe South African Atlas of 
            
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Climatology and Agrohydrology is an extensive, region\u2011wide 
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Climatology and Agrohydrology is an extensive, region\u2011wide 
            
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reference compiling detailed spatial and temporal climatic and 
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reference compiling detailed spatial and temporal climatic and 
            
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agrohydrological information for South Africa, Lesotho and Eswatini. 
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agrohydrological information for South Africa, Lesotho and Eswatini. 
            
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The Atlas integrates over two decades of research on temperature, 
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The Atlas integrates over two decades of research on temperature, 
            
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rainfall, evaporation, soils, agricultural production potential, 
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rainfall, evaporation, soils, agricultural production potential, 
            
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hydrology, natural hazards and other environmental datasets. It draws 
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hydrology, natural hazards and other environmental datasets. It draws 
            
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on climate station observations and uses regression\u2011based and 
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on climate station observations and uses regression\u2011based and 
            
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simulation\u2011based modelling to extend climatic parameters to 
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simulation\u2011based modelling to extend climatic parameters to 
            
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unmapped regions, providing a consistent national\u2011scale spatial 
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unmapped regions, providing a consistent national\u2011scale spatial 
            
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representation of climate and hydrology.\r\n\r\nThe Atlas includes 
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representation of climate and hydrology.\r\n\r\nThe Atlas includes 
            
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more than 330 pages of text, over 700 maps, 120 figures, 111 photos, 
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more than 330 pages of text, over 700 maps, 120 figures, 111 photos, 
            
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and 470 statistical tables. It synthesises data on precipitation, 
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and 470 statistical tables. It synthesises data on precipitation, 
            
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temperature, solar radiation, vapour pressure, relative humidity, 
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temperature, solar radiation, vapour pressure, relative humidity, 
            
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potential evaporation, frost, agricultural yields, natural hazards and 
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potential evaporation, frost, agricultural yields, natural hazards and 
            
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hydrological dynamics such as stormflow, recharge, runoff and 
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hydrological dynamics such as stormflow, recharge, runoff and 
            
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streamflow. These datasets support regional resource planning in water 
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streamflow. These datasets support regional resource planning in water 
            
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and agriculture, enabling users to understand climatic gradients, 
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and agriculture, enabling users to understand climatic gradients, 
            
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variability and long\u2011term environmental 
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variability and long\u2011term environmental 
            
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patterns.\r\n\r\nImportantly, the Atlas offers \u201cbig picture\u201d 
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patterns.\r\n\r\nImportantly, the Atlas offers \u201cbig picture\u201d 
            
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regional insights rather than farm\u2011level precision. Values at 
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regional insights rather than farm\u2011level precision. Values at 
            
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specific locations are derived from interpolation and modelling 
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specific locations are derived from interpolation and modelling 
            
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processes and should be interpreted in a relative rather than absolute 
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processes and should be interpreted in a relative rather than absolute 
            
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sense. The project consolidates climate databases developed in 
90
sense. The project consolidates climate databases developed in 
            
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preceding Water Research Commission (WRC) studies, integrates soils 
91
preceding Water Research Commission (WRC) studies, integrates soils 
            
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and land\u2011cover datasets, and incorporates improvements in GIS and 
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and land\u2011cover datasets, and incorporates improvements in GIS and 
            
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computational capability.las of Agrohydrology_2008.zip",
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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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decision\u2011making, and long\u2011term resource management across 
            
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still giving enough detail to guide regional planning in agriculture 
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