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Climate Dataset for South Africa by the Agricultural Research Council

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Listed:
  • Mokhele Edmond Moeletsi

    (Agricultural Research Council—Natural Resources and Engineering, Private Bag X79, Pretoria 0001, South Africa
    Risks and Vulnerability Assessment Centre, University of Limpopo, Private Bag X1106, Polokwane 0727, South Africa)

  • Lindumusa Myeni

    (Agricultural Research Council—Natural Resources and Engineering, Private Bag X79, Pretoria 0001, South Africa)

  • Ludwig Christian Kaempffer

    (Agricultural Research Council—Natural Resources and Engineering, Private Bag X79, Pretoria 0001, South Africa)

  • Derick Vermaak

    (Agricultural Research Council—Natural Resources and Engineering, Private Bag X79, Pretoria 0001, South Africa)

  • Gert de Nysschen

    (Agricultural Research Council—Natural Resources and Engineering, Private Bag X79, Pretoria 0001, South Africa)

  • Chrisna Henningse

    (Agricultural Research Council—Natural Resources and Engineering, Private Bag X79, Pretoria 0001, South Africa)

  • Irene Nel

    (Agricultural Research Council—Natural Resources and Engineering, Private Bag X79, Pretoria 0001, South Africa)

  • Dudley Rowswell

    (Agricultural Research Council—Natural Resources and Engineering, Private Bag X79, Pretoria 0001, South Africa)

Abstract

Long-term, reliable, continuous and real-time weather and climatic data are essential for efficient management and sustainable use of natural resources. This paper describes the weather station network (WSN) of the Agricultural Research Council (ARC) of South Africa, including information on instrumentation, data retrieval and processing protocols, calibration and maintenance protocols, as well as applications of the collected data. To this end, the WSN of the ARC consists of over 600 automatic weather stations that are distributed across the country to cover a wide range of agro-climatic zones. At each weather station, air temperature, rainfall, relative humidity, solar irradiance, wind speed and direction are monitored and archived on an hourly basis. The main objective of this WSN is to archive climate information for South Africa as well as supply the agricultural community with weather data to support decision-making.

Suggested Citation

  • Mokhele Edmond Moeletsi & Lindumusa Myeni & Ludwig Christian Kaempffer & Derick Vermaak & Gert de Nysschen & Chrisna Henningse & Irene Nel & Dudley Rowswell, 2022. "Climate Dataset for South Africa by the Agricultural Research Council," Data, MDPI, vol. 7(8), pages 1-12, August.
    • Handle: RePEc:gam:jdataj:v:7:y:2022:i:8:p:117-:d:890600
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    References listed on IDEAS

    as
    1. Myeni, L. & Moeletsi, M.E. & Clulow, A.D., 2020. "Assessment of three models for estimating daily net radiation in southern Africa," Agricultural Water Management, Elsevier, vol. 229(C).
    2. repec:iwt:jounls:h049087 is not listed on IDEAS
    3. Tongwane, Mphethe I. & Savage, Michael J. & Tsubo, Mitsuru & Moeletsi, Mokhele E., 2017. "Seasonal variation of reference evapotranspiration and Priestley-Taylor coefficient in the eastern Free State, South Africa," Agricultural Water Management, Elsevier, vol. 187(C), pages 122-130.
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    Cited by:

    1. Dangare, Prince & Cronje, Paul J.R. & Mashimbye, Zama E. & Masanganise, Joseph & Ntshidi, Zanele & Gokool, Shaeden & Naiken, Vivek & Sawunyama, Tendai & Dzikiti, Sebinasi, 2026. "Modelling water - use and yield of selected irrigated subtropical crops using machine learning and hybrid models in north - eastern South Africa," Agricultural Water Management, Elsevier, vol. 324(C).

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