Spatio-Temporal Trends of Precipitation and Temperature Extremes across the North-East Region of Côte d’Ivoire over the Period 1981–2020

Kouman, Kouamé Donald; Kabo-bah, Amos T.; Kouadio, Boyossoro Hélène; Akpoti, Komlavi

doi:10.3390/cli10050074

Cited by 10 publications

(4 citation statements)

References 68 publications

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“…A study published by Isidoro Orlanski in 1975 showed that meteorological properties could behave dynamically at different spatiotemporal scales, showing the dependence that the precipitation forecast has on the climate at different scales (Orlanski, 1975). Recent works have also investigated the spatiotemporal precipitation patterns and how meteorological factors influence this phenomenon in many regions worldwide (Huang et al, 2018;Wood et al, 2021;da Silva et al, 2022;Kouman et al, 2022). A study investigated the effects of SST and geopotential heights in S2S scale precipitation forecasting of the weekly occurrence of extreme precipitation events above 99% over the contiguous USA (Zhang et al, 2023).…”

Section: Temporal Scales and Correlationmentioning

confidence: 99%

Precipitation forecasting: from geophysical aspects to machine learning applications

Oliveira,

Nogueira Neto,

Santos

et al. 2023

Front. Clim.

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Intense precipitation events pose a significant threat to human life. Mathematical and computational models have been developed to simulate atmospheric dynamics to predict and understand these climates and weather events. However, recent advancements in artificial intelligence (AI) algorithms, particularly in machine learning (ML) techniques, coupled with increasing computer processing power and meteorological data availability, have enabled the development of more cost-effective and robust computational models that are capable of predicting precipitation types and aiding decision-making to mitigate damage. In this paper, we provide a comprehensive overview of the state-of-the-art in predicting precipitation events, addressing issues and foundations, physical origins of rainfall, potential use of AI as a predictive tool for forecasting, and computational challenges in this area of research. Through this review, we aim to contribute to a deeper understanding of precipitation formation and forecasting aided by ML algorithms.

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Section: Temporal Scales and Correlationmentioning

confidence: 99%

Precipitation forecasting: from geophysical aspects to machine learning applications

Oliveira,

Nogueira Neto,

Santos

et al. 2023

Front. Clim.

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“…With some uses relying on the availability of streamflow which is impacted by climate variability and change [42]. According to [43], rainfall and extreme temperature are also highly variable and could affect how water resources are used in the basin.…”

Section: Study Areamentioning

confidence: 99%

Implications of Land Use/Land Cover Changes and Climate Change on Black Volta Basin Future Water Resources in Ghana

et al. 2022

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The Black Volta River basin faces several challenges, which impede the sustainability of its water resources and biodiversity. Climate change coupled with land use/land cover (LULC) change patterns account for most of the observed hydrological changes in the basin. The aim of this study was to assess the impact of changes in the climate and LULC on water resources in the basin, and its effect on the livelihoods of downstream users, particularly regarding water allocations. The water evaluation and planning (WEAP) model was applied to the assessment of runoff and streamflow and the percentage future water demand under climate change scenarios (RCP 2.6 and RCP 8.5), as well as the effects of current and future changes on water supply systems. LULC data from 1990 to 2019 were processed to detect the changes in LULC patterns in the basin. The results showed that from 1990 and 2019, the land use classes of settlements/bare ground, open savannah woodland, croplands, and waterbodies increased by 339.5%, 77.4%, 24.4%, and 607%, respectively. Close savannah woodlands, wetlands, and grasslands all decreased by 97%, 99.8%, and 21.2%, respectively. Overall, there was a significant difference in LULC changes. Hence, measures needed to be put in place to curb the changes, as the observed changes posed a serious challenge to the basin’s water resources. The results from the WEAP simulations also indicated that in the future, changes in discharge would be visible in September with ranges between 0.72 × 106 m3 and 1.9 × 106 m3 for RCP 2.6, and 0.65 × 106 m3 and 2.5 × 106 m3 for RCP 8.5, per month. Although the median values illustrate an increase in water availability from river discharge compared with the reference scenario, the uncertainties in future changes largely exceeded the predicted increases. Annual variability of the mean annual flows is projected to decrease over the period in the Black Volta Basin. Therefore, the outcomes of this study will be useful for different stakeholders within the basin in water resources planning and the formulation of appropriate policies for improving land use planning.

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“…Diatta et al [13] studied the extreme precipitation in West Africa and revealed that extreme precipitation in the Sahel was strongly related to the Eastern Mediterranean Sea (EMS), whereas that of the Western and Northwestern Sahel was associated with AMM, MJO8, NINO.3.4, and TAPODI. Kouman et al [14] studied the trend changes of extreme precipitation in the northeast of Côte d'Ivoire in West Africa and showed a decline in the PRCPTOT, SDII, and CWD indices, indicating a decrease in rainfall in the region. Ayugi et al [15] studied extreme precipitation evolution over East Africa toward the end of the 21st century (2081-2100) relative to the baseline period (1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014) and demonstrated that SDII, R95pTOT, R20mm and PRCPTOT indices had significant changes during the OND (October to December) season compared to the MAM (March to May) season.…”

Section: Introductionmentioning

confidence: 99%

Patterns and Teleconnection Mechanisms of Extreme Precipitation in Ethiopia during 1990–2020

Hou,

Kobe,

Zhang

et al. 2023

Water

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The occurrence of extreme precipitation events always leads to a mass of disasters. In this study, based on daily precipitation data from 20 meteorological stations in Ethiopia, we performed a detailed analysis of patterns and trends of ten extreme precipitation indices during 1990–2020. Our study revealed that different topographic conditions on the Ethiopian Plateau, Ethiopian savanna and Ethiopian desert resulted in great differences in patterns and trends of extreme precipitation. Notably, extreme precipitation intensity indices (Rx1day, Rx5day, SDII) and amount indices (R95pTOT) showed significant downward trends in the eastern desert (averagely −1.0 mm/year, −3.0 mm/year, −0.25 mm day−1/year, −6.0 mm/year) and upward trends in the northern plateau and southern savanna (averagely 0.3 mm/year, 0.4 mm/year, 0.05 mm day−1/year, 3.0 mm/year). These implied that extreme precipitation events decreased in the eastern desert and increased in the northern plateau and southern savanna during the past thirty years. Annual trends of the CDD index were upward (0.5 to 1.9 days/year) in most of Ethiopia while those of the CWD index were close to zero in most of Ethiopia, indicating that Ethiopia faced a longer duration of drought in the past thirty years. Moreover, we revealed that the local mean temperature, local mean precipitation, Southwest Asian summer monsoon and West African summer monsoon have significant impacts on the intensity, amount and duration of extreme precipitations in Ethiopia.

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Spatio-Temporal Trends of Precipitation and Temperature Extremes across the North-East Region of Côte d’Ivoire over the Period 1981–2020

Cited by 10 publications

References 68 publications

Precipitation forecasting: from geophysical aspects to machine learning applications

Precipitation forecasting: from geophysical aspects to machine learning applications

Implications of Land Use/Land Cover Changes and Climate Change on Black Volta Basin Future Water Resources in Ghana

Patterns and Teleconnection Mechanisms of Extreme Precipitation in Ethiopia during 1990–2020

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