What is it about?
This research is related to the accumulation of multiple time series variables. An example is taken from the field of hydrology.
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Why is it important?
Continuous and accurate drought monitoring is useful for making drought mitigation policies. From an operational point of view, drought characterization allows early warning drought risk analysis. The primary issue in making advance drought management and mitigation policies is the selection of appropriate drought index for accurate and precise drought monitoring and forecasting. However, the uncertainty in the estimation of drought classes always exists in probabilistic models of SPI, SPEI and SPTI. n this paper, we aimed to develop a new criterion – the PWJADI to overcome the uncertainty in the accurate determination of drought classes. The PWJADI has capability to give joint decision on the classification of the region under study based on various drought indices. The developed model is on the drought classification of SPI, SPEI and SPTI at one month time scale.
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This page is a summary of: A Probabilistic Weighted Joint Aggregative Drought Index (PWJADI) criterion for drought monitoring systems, Tellus A Dynamic Meteorology and Oceanography, March 2019, Taylor & Francis, DOI: 10.1080/16000870.2019.1588584.
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