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Correction to: A Recursive Approach to Long-Term Prediction of Monthly Precipitation Using Genetic Programming

Author

Listed:
  • Suning Liu

    (Southern University of Science and Technology
    Southern University of Science and Technology
    The University of Hong Kong)

  • Haiyun Shi

    (Southern University of Science and Technology
    Southern University of Science and Technology
    Qinghai University)

Abstract

The article A Recursive Approach to Long-Term Prediction of Monthly Precipitation Using Genetic Programming, written by Suning Liu and Haiyun Shi was originally published electronically on the publisher’s internet portal (currently SpringerLink) on 16 December 2018 without open access.

Suggested Citation

  • Suning Liu & Haiyun Shi, 2019. "Correction to: A Recursive Approach to Long-Term Prediction of Monthly Precipitation Using Genetic Programming," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(8), pages 2973-2973, June.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:8:d:10.1007_s11269-019-02288-7
    DOI: 10.1007/s11269-019-02288-7
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    Cited by:

    1. Tonglin Fu & Xinrong Li, 2020. "A Combination Forecasting Strategy for Precipitation, Temperature and Wind Speed in the Southeastern Margin of the Tengger Desert," Sustainability, MDPI, vol. 12(4), pages 1-22, February.
    2. Bin Xu & Xin Huang & Ping-an Zhong & Yenan Wu, 2020. "Two-Phase Risk Hedging Rules for Informing Conservation of Flood Resources in Reservoir Operation Considering Inflow Forecast Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 2731-2752, July.

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