Assessment of drought events, their trend and teleconnection factors over Burundi, East Africa

Nkunzimana, Athanase; Wang, Guojie; Alriah, Mohamed Abdallah Ahmed; Sarfo, Isaac; Zhi-hui, XU; Vuguziga, Floribert; Ayugi, Brian

doi:10.1007/s00704-021-03680-3

Cited by 22 publications

(13 citation statements)

References 104 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The efficacy of the CHIRPS dataset extends beyond mere numerical alignment; it facilitates a nuanced understanding of Rwanda's climatic patterns, enabling researchers to dissect the seasonal fluctuations with a high degree of confidence. This precise replication of ground truth data highlights the dataset's value in climatological research, providing a reliable basis for studies focused on temporal and spatial rainfall variations [10,11]. The ability of CHIRPS to accurately capture these critical periods of rainfall intensity is essential for a wide array of environmental assessments and policy-making processes.…”

Section: Evaluation Of Chirps Dataset With Station Datamentioning

confidence: 86%

“…The March-April-May (MAM) season in East Africa (EA) is characterized as a major rainy season, essential for agriculture and water resources. During these months, the region experiences significant rainfall, which is critical for planting crops, replenishing water bodies, and sustaining natural ecosystems [10,11]. The precipitation patterns during MAM are vital for the livelihoods of millions, impacting food security, economic activities, and environmental health [12].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Investigation of the Historical Trends and Variability of Rainfall Patterns during the March–May Season in Rwanda

Uwizewe,

Jianping,

Habumugisha

et al. 2024

Atmosphere

View full text Add to dashboard Cite

This study explores the spatiotemporal variability and determinants of rainfall patterns during the March to May (MAM) season in Rwanda, incorporating an analysis of teleconnections with oceanic–atmospheric indices over the period 1983–2021. Utilizing the Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) dataset, the study employs a set of statistical tools including standardized anomalies, empirical orthogonal functions (EOF), Pearson correlation, the Mann–Kendall (MK) trend test, and Sen’s slope estimator to dissect the intricacies of rainfall variability, trends, and their association with large-scale climatic drivers. The findings reveal a distinct southwest to northwest rainfall gradient across Rwanda, with the MK test signaling a decline in annual precipitation, particularly in the southwest. The analysis for the MAM season reveals a general downtrend in rainfall, attributed in part to teleconnections with the Indian Ocean Sea surface temperatures (SSTs). Notably, the leading EOF mode for MAM rainfall demonstrates a unimodal pattern, explaining a significant 51.19% of total variance, and underscoring the pivotal role of atmospheric dynamics and moisture conveyance in shaping seasonal rainfall. The spatial correlation analysis suggests a modest linkage between MAM rainfall and the Indian Ocean Dipole, indicating that negative (positive) phases are likely to result in anomalously wet (dry) conditions in Rwanda. This comprehensive assessment highlights the intricate interplay between local rainfall patterns and global climatic phenomena, offering valuable insights into the meteorological underpinnings of rainfall variability during Rwanda’s critical MAM season.

show abstract

Section: Evaluation Of Chirps Dataset With Station Datamentioning

confidence: 86%

Section: Introductionmentioning

confidence: 99%

Investigation of the Historical Trends and Variability of Rainfall Patterns during the March–May Season in Rwanda

Uwizewe,

Jianping,

Habumugisha

et al. 2024

Atmosphere

View full text Add to dashboard Cite

show abstract

“…In order to overcome uncertainties that may result from scarceness of rain gauge observation, blending station data have been added to CHIRPS to enhance its performance (Funk et al ., 2015). CHIRPS data are chosen by many scientists as one of the most appropriate datasets used in hydrological studies, coupled with monitoring extreme weather events, especially over Africa (Ayugi et al ., 2019; Nkunzimana et al ., 2021). CHIRPS is believed to give a good caption in mountainous areas (Dinku et al ., 2018).…”

Section: Methodsmentioning

confidence: 99%

Multiple gridded‐based precipitation products' performance in Sudan's different topographical features and the influence of the Atlantic Multidecadal Oscillation on rainfall variability in recent decades

Alriah

Nkunzimana

Elameen

et al. 2022

Intl Journal of Climatology

Self Cite

View full text Add to dashboard Cite

The selection of a reliable long-term rainfall dataset is deemed appropriate for hydroclimatic assessments, especially in regions with limited distribution of rain gauge stations like Sudan. The study presents an initial investigation for gridded-based rainfall products and satellite-based products over Sudan using standardized statistical methods. Overall, the monthly evaluation revealed reasonable statistical agreement with in situ observations. Seasonal analysis shows that summer rainfall is detected more accurately than yearly rainfall, especially in mountainous areas across the country. Generally, underestimation was observed in all products over most regions on an annual, seasonal, and monthly scale, respectively. Results for the Taylor skill score (TSS) indicated relatively low skills for ECMWF Reanalysis 5th Generation (ERA5), moderate to strong skills for Climate Research Unit (CRU) and Climate Hazards Group Infrared Precipitation with Stations (CHIRPS), against the reference rain gauges among the regions. The regional comparison using TSS when considering monthly and seasonal timescales showed CHIRPS and CRU had the highest performance with an average percentage of 89.6 and 92% in the west (Nyala, Al Geniena, and Al Fasher), 89 and 84.6% at the central part (Khartoum, Wad Madani, and Al Obied), and 92.5 and 86.5% in the south (Al Damazine and Kadogli). At 95% confidence level, a significant increasing trend was observed over the highlands at the centre (Al Obied) and western areas (Al Geniena and Nyala), while most stations showed positive trends. Further analysis on temporal correlation with Atlantic Multidecadal Oscillation (AMO) demonstrated a strong correlation between the AMO PC1 and JJAS rainfall PC1 (82%). The west recorded the highest response to AMO (90%), while the east had the lowest response (74%), with the north, central, and south obtaining 77, 76, and 76%, respectively. Our findings provide useful

show abstract

“…Droughts must be accurately assessed to effectively plan and manage the environment, water resources, and ecosystems [15]. In recent decades, the application of drought indices has been a major concern for both scholars and scientists and a greater emphasis has been placed on to understand drought phenomenon and to analyze the characteristics of drought [16][17][18][19]. Considerable effort has been expended on developing reliable and effective statistical drought prediction models through the development of new or improved methods and the selection of indicators [20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of Drought Indices in the Assessment of Different Types of Droughts, Managing and Mitigating Their Effects

Ndayiragije

2022

Climate

View full text Add to dashboard Cite

Droughts are the most destructive catastrophes in the world. The persistence of drought is considered to cause many challenges for both humans and animals and ruins the ecosystem. These challenges have encouraged scientists to search for innovative methods and models that are effective for assessing and predicting drought events. The use of drought indices has been extensively employed in many regions across the globe and their effectiveness demonstrated. This review illustrates the effectiveness of drought indices in the assessment of droughts, with a focus on drought management and mitigation measures. Additionally, several ways of managing drought risk and proactive strategies that need to be implemented to mitigate droughts have been illustrated. In conclusion, this article suggests that drought mitigation should be done more naturally, in ways that strongly protect the environment rather than involve engineering projects which might cause the degradation of rivers and land, and damage the ecosystem.

show abstract

Assessment of drought events, their trend and teleconnection factors over Burundi, East Africa

Cited by 22 publications

References 104 publications

Investigation of the Historical Trends and Variability of Rainfall Patterns during the March–May Season in Rwanda

Investigation of the Historical Trends and Variability of Rainfall Patterns during the March–May Season in Rwanda

Multiple gridded‐based precipitation products' performance in Sudan's different topographical features and the influence of the Atlantic Multidecadal Oscillation on rainfall variability in recent decades

Effectiveness of Drought Indices in the Assessment of Different Types of Droughts, Managing and Mitigating Their Effects

Contact Info

Product

Resources

About