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Article

Comparison of Meteorological- and Agriculture-Related Drought Indicators across Ethiopia

1
Faculty of Civil and Environmental Engineering, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia
2
Department of Civil, Environmental and Construction Engineering, Texas Tech University, Lubbock, TX 79409, USA
3
Department of Mechanical Engineering, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia
4
Department of Mechanical Engineering, Texas Tech University, Lubbock, TX 79409, USA
*
Author to whom correspondence should be addressed.
Water 2019, 11(11), 2218; https://doi.org/10.3390/w11112218
Received: 31 July 2019 / Revised: 9 October 2019 / Accepted: 19 October 2019 / Published: 24 October 2019
(This article belongs to the Section Water Use and Scarcity)
Meteorological drought indicators are commonly used for agricultural drought contingency planning in Ethiopia. Agricultural droughts arise due to soil moisture deficits. While these deficits may be caused by meteorological droughts, the timing and duration of agricultural droughts need not coincide with the onset of meteorological droughts due to soil moisture buffering. Similarly, agricultural droughts can persist, even after the cessation of meteorological droughts, due to delayed hydrologic processes. Understanding the relationship between meteorological and agricultural droughts is therefore crucial. An evaluation framework was developed to compare meteorological- and agriculture-related drought indicators using a suite of exploratory and confirmatory tools. Receiver operator characteristics (ROC) was used to understand the covariation of meteorological and agricultural droughts. Comparisons were carried out between SPI-2, SPEI-2, and Palmer Z-index to assess intraseasonal droughts, and between SPI-6, SPEI-6, and PDSI for full-season evaluations. SPI was seen to correlate well with selected agriculture-related drought indicators, but did not explain all the variability noted in them. The correlation between meteorological and agricultural droughts exhibited spatial variability which varied across indicators. SPI is better suited to predict non-agricultural drought states than agricultural drought states. Differences between agricultural and meteorological droughts must be accounted for in order to devise better drought-preparedness planning. View Full-Text
Keywords: PDSI; Z-index; Receiver Operating Characteristics (ROC); SPI; SPEI; GIS; food security; droughts PDSI; Z-index; Receiver Operating Characteristics (ROC); SPI; SPEI; GIS; food security; droughts
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MDPI and ACS Style

Teweldebirhan Tsige, D.; Uddameri, V.; Forghanparast, F.; Hernandez, E.A.; Ekwaro-Osire, S. Comparison of Meteorological- and Agriculture-Related Drought Indicators across Ethiopia. Water 2019, 11, 2218. https://doi.org/10.3390/w11112218

AMA Style

Teweldebirhan Tsige D, Uddameri V, Forghanparast F, Hernandez EA, Ekwaro-Osire S. Comparison of Meteorological- and Agriculture-Related Drought Indicators across Ethiopia. Water. 2019; 11(11):2218. https://doi.org/10.3390/w11112218

Chicago/Turabian Style

Teweldebirhan Tsige, Dawit, Venkatesh Uddameri, Farhang. Forghanparast, Elma A. Hernandez, and Stephen. Ekwaro-Osire 2019. "Comparison of Meteorological- and Agriculture-Related Drought Indicators across Ethiopia" Water 11, no. 11: 2218. https://doi.org/10.3390/w11112218

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