2021
DOI: 10.1007/s10668-020-01192-0
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Time-series trend analysis and farmer perceptions of rainfall and temperature in northwestern Ethiopia

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Cited by 12 publications
(4 citation statements)
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“…In the present study, households also perceived climate variability and drought occurrence based on fundamental climate attributes such as decreased rainfall and increased temperature over the past 25 years. This study's findings are also in line with those of Marie et al's [56] study findings, in that in northwest Ethiopia, over the past 30 years, 78% of farmers perceived climate variability and drought occurrence as decreasing rainfall patterns, whereas 81% perceived increasing temperature trends. The same authors further argued that the farmers in northwest Ethiopia are aware of the main indicators of climate-induced drought in terms of the fluctuation of the rainy period, which are linked with the current findings.…”
Section: Meteorological Data Of the Study Areasupporting
confidence: 92%
“…In the present study, households also perceived climate variability and drought occurrence based on fundamental climate attributes such as decreased rainfall and increased temperature over the past 25 years. This study's findings are also in line with those of Marie et al's [56] study findings, in that in northwest Ethiopia, over the past 30 years, 78% of farmers perceived climate variability and drought occurrence as decreasing rainfall patterns, whereas 81% perceived increasing temperature trends. The same authors further argued that the farmers in northwest Ethiopia are aware of the main indicators of climate-induced drought in terms of the fluctuation of the rainy period, which are linked with the current findings.…”
Section: Meteorological Data Of the Study Areasupporting
confidence: 92%
“…To visualize the time-series variation of seasonal rainfall, standard rainfall anomalies were plotted against time (in years). A simple linear regression was used to identify and characterize the long-term trend of temperature variability values on an annual time scale using the equation below [34]:…”
Section: Discussionmentioning
confidence: 99%
“…Both hydrological and meteorological data were categorized into monthly, seasonal, and annual timescales. Mann-Kendall, modified Mann-Kendall, Sen's slope estimator, and Pettitt's tests were performed to identify the trends in the rainfall data and streamflow data to compute their magnitudes and to detect change points in the time series data using XLSTAT software (available at https://www.xlstat.com/en/, accessed on 5 August 2022) [34]. In addition, 5 extreme rainfall indices were calculated using the RClimdex software (available at https://www.climdex.org/, accessed on 9 August 2022) [35] and computed trends and magnitudes were found using MK and Sen's slope tests.…”
Section: Methodsmentioning
confidence: 99%