Evaluation of Global Gridded Precipitation and Temperature Datasets against Gauged Observations over the Upper Tekeze River Basin, Ethiopia

Reda, Kidane Welde; Liu, Xingcai; Tang, Qiuhong; Gebremicael, Tesfay Gebretsadkan

doi:10.1007/s13351-021-0199-7

Cited by 27 publications

(18 citation statements)

References 66 publications

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“…The missed values for precipitation, maximum and minimum temperature for the considered time span ranges 0.002%-7.2%, 0.001%-8.85%, and 0.001%-8.87%, respectively across the stations. Based on our previous study, Reda et al (2021), EWEMBI and CHIRPSv8 showed good performances in representing daily precipitation gauge observations across UTB. Hence, these data sets were applied for filling the missed values of precipitation at the gauging stations.…”

Section: Data Collectionmentioning

confidence: 78%

Intra‐Annual Variation of High and Low‐Flow Extremes Associated With Land Use and Climate Change in the Upper Tekeze of the Nile River Basin

2022

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In northern Ethiopian highlands, climate variability and land use/land cover (LULC) change has been observed during the past decades. However, it remains unclear that to which extent and how these key drivers contributed to changes in hydrological extremes. As a case study, the respective impacts of LULC change and climate variability on hydrological extremes with respect to magnitude, duration, and frequency metrics were assessed in the Upper Tekeze basin, Ethiopia. A scenario‐based approach using LULC and hydro‐climatological data was developed and five simulation experiments were conducted using Soil and Water Assessment Tool model. Results showed that, during 1986–2015, low‐flow duration has decreased by 5.0 days/yr, and the magnitude and occurrence of high flow has increased by 5.23 m3/s/yr and 5.11 days/yr, respectively. Meanwhile, about 47.42% of the landscape has changed its category while no significant change was detected in annual rainfall during the past 31 yr. Particularly, rocky area increased by 82% which was mostly contributed by losses of bare, sand, and low biomass areas. Significant positive and negative contributions to the changes in high and low‐flow extremes, respectively, were detected from LULC change, while no significant contribution was detected from climate change. The increased rock area tends to be one of the major contributors to the increased high flow while climate change seemed to play a minor role. The potential mechanism is the expansion in rock area increased runoff and high flow, which may lead to significant land deterioration and loss of water storage capacity in the mountainous basin.

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Section: Data Collectionmentioning

confidence: 78%

Intra‐Annual Variation of High and Low‐Flow Extremes Associated With Land Use and Climate Change in the Upper Tekeze of the Nile River Basin

2022

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Section: Discussionmentioning

confidence: 99%

“…The reanalysis dataset can provide grid data with uniform spatial distribution and its surface temperature has high reliability [39,60,61]. The extreme temperatures are better captured by the ERA5 [60]. Based on the ERA5, we analyzed the seasonal trend of monthly extreme maximum and minimum temperature in mainland China during 1979-2020 and the time evolution of extreme air temperature days in this paper, hoping to provide help for studying the long-term impact of climate change on grain production.…”

Section: Discussionmentioning

confidence: 99%

Assessment of Seasonal Variability of Extreme Temperature in Mainland China under Climate Change

Yan

Jun

et al. 2021

Sustainability

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Some studies have suggested that variations in the seasonal cycle of temperature and season onset could affect the efficiency in the use of radiation by plants, which would then affect yield. However, the study of the temporal variation in extreme climatic variables is not sufficient in China. Using seasonal trend analysis (STA), this article evaluates the distribution of extreme temperature seasonality trends in mainland China, describes the trends in the seasonal cycle, and detects changes in extreme temperature characterized by the number of hot days (HD) and frost days (FD), the frequency of warm days (TX90p), cold days (TX10p), warm nights (TN90p), and cold nights (TN10p). The results show a statistically significant positive trend in the annual average amplitudes of extreme temperatures. The amplitude and phase of the annual cycle experience less variation than that of the annual average amplitude for extreme temperatures. The phase of the annual cycle in maximum temperature mainly shows a significant negative trend, accounting for approximately 30% of the total area of China, which is distributed across the regions except for northeast and southwest. The amplitude of the annual cycle indicates that the minimum temperature underwent slightly greater variation than the maximum temperature, and its distribution has a spatial characteristic that is almost bounded by the 400 mm isohyet, increasing in the northwest and decreasing in the southeast. In terms of the extreme air temperature indices, HD, TX90p, and TN90p show an increasing trend, FD, TX10p, and TN10p show a decreasing trend. They are statistically significant (p < 0.05). This number of days also suggests that temperature has increased over mainland China in the past 42 years.

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“…Reda, Liu, Tang, and Gebremicael [34] also showed that CHIRTS exhibits good performance on a daily basis in comparison with records at stations in the complex terrain of the Upper Tekeze River Basin, Ethiopia and performed better than other products. Reda, Liu, Tang, and Gebremicael [34] also showed that CHIRTS exhibits good performance on a daily basis in comparison with records at stations in the complex terrain of the Upper Tekeze River Basin, Ethiopia and performed better than other products. However, it is noticeable that the average daily correlations were lower than observed in this study and the RMSE values were higher at 3.7 • and 4 • for maximum and minimum temperatures, respectively.…”

Section: Daily Comparisonsmentioning

confidence: 91%

“…This improved performance of maximum temperature by CHIRTS over ERA5 and ERA5-Land is expected as the CHIRTS algorithm is designed to address the cool biases observed in ERA5 [33], which are more noticeable in Africa [18]. Reda, Liu, Tang, and Gebremicael [34] also showed that CHIRTS exhibits good performance on a daily basis in comparison with records at stations in the complex terrain of the Upper Tekeze River Basin, Ethiopia and performed better than other products. Reda, Liu, Tang, and Gebremicael [34] also showed that CHIRTS exhibits good performance on a daily basis in comparison with records at stations in the complex terrain of the Upper Tekeze River Basin, Ethiopia and performed better than other products.…”

Section: Daily Comparisonsmentioning

confidence: 93%

Evaluation of Satellite-Based Air Temperature Estimates at Eight Diverse Sites in Africa

Parsons

Stern²,

Ndanguza

et al. 2022

Climate

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High resolution satellite and reanalysis-based air temperature estimates have huge potential to complement the sparse networks of air temperature measurements from ground stations in Africa. The recently released Climate Hazards Center Infrared Temperature with Stations (CHIRTS-daily) dataset provides daily minimum and maximum air temperature estimates on a near-global scale from 1983 to 2016. This study assesses the performance of CHIRTS-daily in comparison with measurements from eight ground stations in diverse locations across Africa from 1983 to 2016, benchmarked against the ERA5 and ERA5-Land reanalysis to understand its potential to provide localized temperature information. Compared to ERA5 and ERA5-Land, CHIRTS-daily maximum temperature has higher correlation and lower bias of daily, annual mean maximum and annual extreme maximum temperature. It also exhibits significant trends in annual mean maximum temperature, comparable to those from the station data. CHIRTS-daily minimum temperatures generally have higher correlation, but larger bias than ERA5 and ERA5-Land. However, the results indicate that CHIRTS-daily minimum temperature biases may be largely systematic and could potentially be corrected for. Overall, CHIRTS-daily is highly promising as it outperforms ERA5 and ERA5-Land in many areas, and exhibits good results across a small, but diverse set of sites in Africa. Further studies in specific geographic areas could help support these findings.

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Evaluation of Global Gridded Precipitation and Temperature Datasets against Gauged Observations over the Upper Tekeze River Basin, Ethiopia

Cited by 27 publications

References 66 publications

Intra‐Annual Variation of High and Low‐Flow Extremes Associated With Land Use and Climate Change in the Upper Tekeze of the Nile River Basin

Intra‐Annual Variation of High and Low‐Flow Extremes Associated With Land Use and Climate Change in the Upper Tekeze of the Nile River Basin

Assessment of Seasonal Variability of Extreme Temperature in Mainland China under Climate Change

Evaluation of Satellite-Based Air Temperature Estimates at Eight Diverse Sites in Africa

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