Comparison of Meteorological and Agricultural Drought Indicators across Ethiopia

Tsige, Dawit Teweldebirhan; Uddameri, Venkatesh; Forghanparast, Farhang; Hernández, Edith Johana Medina; Ekwaro-Osire, Stephen

doi:10.20944/preprints201908.0020.v1

Cited by 5 publications

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“…Its reliability is also likely to be higher in warm climates (such as Ethiopia) 2 where the hydrology is not affected by spring snowmelt. PDSI has also been used widely to characterize 3 agricultural droughts [13,43,44]. Studies have shown that PDSI correlates strongly with SPI values 4 computed using higher accumulations [45,46].…”

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confidence: 99%

Comparison of Meteorological and Agricultural Drought Indicators across Ethiopia

Tsige¹,

Uddameri²,

Forghanparast³

et al. 2019

Preprint

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19Meteorological drought indicators are commonly used for agricultural drought contingency planning in 20Ethiopia. Agricultural droughts arise due to soil moisture deficits. While these deficits may be caused by 21 meteorological droughts, the timing and duration of agricultural droughts need not coincide with the 22 onset of meteorological droughts due to soil moisture buffering. Similarly, agricultural droughts can 23 persist even after the cessation of meteorological droughts due to delayed hydrologic processes. 24Understanding the relationship between meteorological and agricultural droughts is therefore crucial. An 25 evaluation framework was developed to compare meteorological and agricultural droughts using a suite 26 of exploratory and confirmatory tools. Receiver operator characteristics (ROC) was used to understand 27 the covariation of meteorological and agricultural droughts. Comparisons were carried out between SPI-28 2, SPEI-2 and Palmer Z-index to assess intra-seasonal droughts and between SPI-6, SPEI-6 and PDSI for full-29 season evaluations. SPI was seen to correlate well with selected agricultural drought indicators but did 30 not explain all the variability noted in agricultural droughts. The relationships between meteorological 31 and agricultural droughts exhibited spatial variability which varied across indicators. SPI is better suited 32to predict non-agricultural drought states more so than agricultural drought states. Differences between 33 agricultural and meteorological droughts must be accounted for better drought-preparedness planning. 34 blue water) causing hydrologic droughts. The relationships between meteorological, agricultural and 1 hydrological droughts are not always straightforward. The onset and cessation of agricultural and 2 hydrological droughts do not typically coincide with meteorological droughts as the former are affected 3 by other factors (e.g., soil and watershed characteristics) that control the rate of water movement and 4 storage in soil, surface water, and groundwater compartments [6]. 5Understanding the relationship between meteorological and agricultural droughts is important for proper 6 drought contingency planning in rural areas of Ethiopia. As most of the agriculture is rainfed, a strong 7 correlation between meteorological and agricultural drought is to be expected. However, meteorological 8 and agricultural droughts need not be coincident nor the relationships between these two types of 9 drought be perfect or even strong. The soil moisture at any time can be affected by precipitation in 10 previous months or seasons and is also affected by other factors including but not limited to soil type and 11 atmospheric temperature. In Ethiopia, while many farmers grow crops during the Meher growing season 12 that coincides with the longer Kerimt (June -October) rainy season, the shorter Belg (February -May) 13 rains often provides the soil moisture necessary for tillage and planting activities and also improve 14 pastures for livestock [7]. Therefore, lagged re...

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confidence: 99%

Comparison of Meteorological and Agricultural Drought Indicators across Ethiopia

Tsige¹,

Uddameri²,

Forghanparast³

et al. 2019

Preprint

Self Cite

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Analysis of the Variability Characteristics and Applicability of SPEI in Mainland China from 1985 to 2018

et al. 2023

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Drought is one of the most destructive natural disasters in China and can cause serious environmental and socio-economic impacts. Based on monthly precipitation and temperature data from 571 meteorological stations, the Standardized Precipitation Evapotranspiration Index (SPEI) was calculated on a 12-month scale (SPEI-12) from 1985 to 2018 in mainland China, and it was compared with the records of the Bulletin of Flood and Drought Disasters in China to verify its drought monitoring accuracy. Then, run theory was used to explore in depth the spatiotemporal distribution of drought characteristics and trends in various climatic sub-regions. The results showed that: (1) the comparison with the Bulletin of Flood and Drought Disasters in China indicated that the results of SPEI-12 monitoring drought had high accuracy and could identify drought events in mainland China. (2) About 70% of the regions in mainland China experienced droughts more than 50 times, and about 43% of the regions had drought durations of between 100 and 110 months. Nearly 11% of the regions had drought severities of more than 130, which were mainly located in the Northwest Desert (NWC), the southern part of Northeast China (NEC), and the western part of North China (NC). (3) In the past 34 years, the droughts in the Northwest Desert (NWC), the western part of Inner Mongolia (IM), and the Qinghai-Tibet Plateau (TP) showed an aridity trend, while the droughts in South China (SC) and eastern Central and South China (CSC) presented a mitigation tendency. (4) Specifically, the droughts in South China (SC) were more influenced by precipitation, while those in the Northwest Desert (NWC) and Northeast China (NEC) were influenced by temperature and potential evapotranspiration, and the evolution of drought in North China (NC) and the Qinghai-Tibet Plateau (TP) was mainly influenced by soil moisture. The study could provide scientific guidance and a reference for drought response and sustainable development in China.

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Dryland Food Security in Ethiopia: Current Status, Opportunities, and a Roadmap for the Future

et al. 2021

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Given the impact of COVID-19 and the desert locust plague, the Ethiopian food security issue has once again received widespread attention. Its food crisis requires comprehensive and systematic research to achieve the United Nations Sustainable Development Goal of zero hunger. This review discusses the current situation and the causes of food security in Ethiopia. We focus on the challenges in the food security assessment field. The article lists seven typical causes of food insecurity and three roots of food security in Ethiopia. Long-term food security assessment and a comprehensive understanding and manageability for food security causes are considered as the main existing research challenges. Climate-resilient management, water management, and long-term ecosystem network monitoring and data mining are suggested as potential roadmap for future research.

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Comparison of Meteorological and Agricultural Drought Indicators across Ethiopia

Cited by 5 publications

References 1 publication

Comparison of Meteorological and Agricultural Drought Indicators across Ethiopia

Comparison of Meteorological and Agricultural Drought Indicators across Ethiopia

Analysis of the Variability Characteristics and Applicability of SPEI in Mainland China from 1985 to 2018

Dryland Food Security in Ethiopia: Current Status, Opportunities, and a Roadmap for the Future

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