Discussion of “Drought assessment in a south Mediterranean transboundary catchment”

Aksoy, Hafzullah; Cavus, Yonca

doi:10.1080/02626667.2021.2009838

Cited by 5 publications

(2 citation statements)

References 31 publications

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“…In Step 1 of the experiment, monthly precipitation data were transformed into standardized drought indices, which are probabilistic transformation of physical variables with a known distribution to the standard normal distribution (Aksoy & Cavus, 2022; Erhardt & Czado, 2018). As drought indices are widely known in the literature (Cavus et al, 2023; Hong et al, 2015; Tabari et al, 2013), we provide no detail about their formulation but explain how we treated them in this study.…”

Section: Methodsmentioning

confidence: 99%

Formative drought rate to quantify propagation from meteorological to hydrological drought

Yildirim,

Aksoy,

Hrachowitz

2024

Hydrological Processes

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In this study, we propose a probabilistic metric, the formative drought rate (FDR), to quantify drought propagation. It is the probability that a meteorological drought in precipitation forms a hydrological drought in streamflow. Drought events were identified based on the standardized precipitation index and streamflow drought index, respectively, at 1‐, 3‐, 6‐ and 12‐month timescales. The method was tested in three river basins in Turkey (Kucuk Menderes, Gediz and Ergene). In each river basin, meteorological stations were coupled with streamflow gauging stations to form pairs of stations depending on their distance from each other and the length of their common record periods. The FDR was calculated across all timescales for each pair of stations. It was found capable to describe the river basin‐specific spatial and temporal variability of drought propagation. As the FDR is defined in the form of probability, it is expected to be a useful metric for quantifying propagation from meteorological to hydrological drought. Thus, it carries a potential for scientific research and practice in water resources management.

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Section: Methodsmentioning

confidence: 99%

Formative drought rate to quantify propagation from meteorological to hydrological drought

Yildirim,

Aksoy,

Hrachowitz

2024

Hydrological Processes

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“…In contrast, SPI is often preferred as it needs only precipitation data [17,18]. A detailed description of the SPI along with its advantages is available in a wide range of literature [17,18,23,24].…”

Section: Introductionmentioning

confidence: 99%

Quantifying Drought Characteristics in Complex Climate and Scarce Data Regions of Afghanistan

Dost,

Soundharajan,

Kasiviswanathan

et al. 2023

Geosciences

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Droughts cause critical and major risk to ecosystems, agriculture, and social life. While attempts have been made globally to understand drought characteristics, data scarcity in developing countries often challenges detailed analysis, including climatic, environmental, and social aspects. Therefore, this study developed a framework to investigate regional drought analysis (RDA) using regional drought intensity-duration-frequency (RD-IDF) curves and regional drought risk assessment (RDRA) based on the drought hazard indicator (DHI) and drought vulnerability indicator (DVI) for scarce data regions in Afghanistan. The drought characteristics were analyzed using the regional standardized-precipitation-index (SPI), and standardized precipitation-deficit distribution (SPDD). Further, L-moment statistics were used to classify different homogenous regions based on regional frequency analysis (RFA). The historical monthly precipitation data from 23 rainfall stations for the years 1970 to 2016 were collected from the Ministry of Water and Energy of Afghanistan. Based on the analysis performed, the area was classified into six homogeneous regions R-1, R-2, R-3, R-4, R-5, and R-6. The drought was very consistent—almost 50% of the years—irrespective of the homogeneous region classified. R-4, located in the northeast of the country, had a one-year extreme drought with high resiliency and low risk to drought compared to other regions. As R-1, R-3 and R-5 are located in the southwest, center and southeast parts of Afghanistan, they experience moderate drought with low resiliency and high drought risk due to long period of droughts. Moreover, the uniform distribution of precipitation deficit (Dm), was less in arid climate regions. In contrast, the semi-arid climate regions showed higher values of Dm. Furthermore, in the results in all the regions, the IDF curves showed a high drought intensity with increasing drought return periods. In contrast, the intensity significantly decreased when the time scale increased, and fewer were enhanced within the increasing drought return period. However, the outcome of this study may contain essential information for end users to make spatially advanced planning for drought effect mitigation in Afghanistan.

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Trend and variability analysis in rainfall and temperature records over Van Province, Türkiye

Esit,

Yuce,

Deger

et al. 2023

Theor Appl Climatol

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Discussion of “Drought assessment in a south Mediterranean transboundary catchment”

Cited by 5 publications

References 31 publications

Formative drought rate to quantify propagation from meteorological to hydrological drought

Formative drought rate to quantify propagation from meteorological to hydrological drought

Quantifying Drought Characteristics in Complex Climate and Scarce Data Regions of Afghanistan

Trend and variability analysis in rainfall and temperature records over Van Province, Türkiye

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