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Strengthening Drought Monitoring Module by Ensembling Auxiliary Information Based Varying Estimators

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  • Farman Ali

    (Beijing Institute of Technology)

  • Bing-Zhao Li

    (Beijing Institute of Technology)

  • Zulfiqar Ali

    (Tsinghua University)

Abstract

Quality of meteorological data such as preciseness and accuracy has substantial importance while making inferences about natural hazards. Among all the natural hazards, drought hazard is a complex natural phenomenon. In this article, we have discussed the procedure of improving time series data of meteorological indicators for analyzing drought. Here, we considered auxiliary information-based sampling estimators to enhance the quality of drought indicators. Since precipitation time series has a key role in drought occurrence and have a strong spatial correlation coherence structure with temperature. Therefore, this study suggests the use of the characteristics of auxiliary information as local weights for improving precipitation records. Consequently, this study presents the proposal of a new drought measure: The Seasonally Transient Weighted Multi-Scaler Standardized Index (STWMSDI). Under varying relationships between time series data of precipitation and temperature, the proposed method is more general than presented in Ali et al. (2019). We applied STWMSDI on ten meteorological stations of Pakistan to compare its performance with the Standardized Precipitation Index (SPI). Experimental results show high significant correlation between the STWMSDI and SPI. From these results, we conclude that the improved data provides much better results in terms of drought indices. Hence, the STWMSDI method of drought index is a good candidate for accurate drought monitoring.

Suggested Citation

  • Farman Ali & Bing-Zhao Li & Zulfiqar Ali, 2021. "Strengthening Drought Monitoring Module by Ensembling Auxiliary Information Based Varying Estimators," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(10), pages 3235-3252, August.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:10:d:10.1007_s11269-021-02888-2
    DOI: 10.1007/s11269-021-02888-2
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    References listed on IDEAS

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    1. Dimitris Tigkas & Harris Vangelis & George Tsakiris, 2020. "Implementing Crop Evapotranspiration in RDI for Farm-Level Drought Evaluation and Adaptation under Climate Change Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(14), pages 4329-4343, November.
    2. G. Tsakiris & D. Pangalou & H. Vangelis, 2007. "Regional Drought Assessment Based on the Reconnaissance Drought Index (RDI)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(5), pages 821-833, May.
    3. Zuliqar Ali & Ijaz Hussain & Muhammad Faisal & Hafiza Mamona Nazir & Mitwali Abd-el Moemen & Tajammal Hussain & Sadaf Shamsuddin, 2017. "A Novel Multi-Scalar Drought Index for Monitoring Drought: the Standardized Precipitation Temperature Index," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(15), pages 4957-4969, December.
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    1. Zulfiqar Ali & Asad Ellahi & Ijaz Hussain & Amna Nazeer & Sadia Qamar & Guangheng Ni & Muhammad Faisal, 2021. "Reduction of Errors in Hydrological Drought Monitoring – A Novel Statistical Framework for Spatio-Temporal Assessment of Drought," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(13), pages 4363-4380, October.

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