Extreme precipitation indices over the Volta Basin: CMIP6 model evaluation

Agyekum, Jacob; Annor, Thompson; Quansah, Emmanuel; Lamptey, Benjamin; Okafor, Gloria C.

doi:10.1016/j.sciaf.2022.e01181

Cited by 17 publications

(5 citation statements)

References 76 publications

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“…In fact, the P95, CWD and SDII indices show trends as the p-value < 5%. Similar results were obtained by Agyekum et al 2022 between Burkina Faso and Ghana. Indeed, the study also shows an upward trend in observed days with heavy and very heavy rainfall (R10 mm and R20 mm), very wet and extremely wet days (R95p and R99p), but a downward trend in consecutive wet and dry days (CWD and CDD).…”

Section: Trend Of Extreme Climatic Indices Between 1991 and 2021supporting

confidence: 87%

Trends and variability of extreme climate indices in the Boucle du Mouhoun (Burkina Faso)

Rouamba,

Yameogo,

Sanou

et al. 2023

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Section: Trend Of Extreme Climatic Indices Between 1991 and 2021supporting

confidence: 87%

Trends and variability of extreme climate indices in the Boucle du Mouhoun (Burkina Faso)

Rouamba,

Yameogo,

Sanou

et al. 2023

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“…The results revealed the robust performance of the multi-model ensemble mean in simulating extreme events. Similarly, the study of Agyekum et al (2022) evaluated the performance of forty-one (41) models in simulating extreme precipitation events over the Volta basin of West Africa. The results revealed the improved performance of the multi-model ensemble mean in simulating extreme precipitation events.…”

Section: Historical Climate Change Trends In Ghanamentioning

confidence: 99%

Assessment of Shared Socioeconomic Pathway (Ssp) Climate Scenarios and its Impacts on the Greater Accra Region

Siabi

Awafo²,

Kabo-bah

et al. 2022

SSRN Journal

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“…Several investigations have been performed to determine how well CMIP6 models simulate global and regional climates. However, these studies primarily compared multi‐model ensembles of CMIP5 and CMIP6 GCMs to assess how well they reproduced climate extremes in various regions, including Africa (Agyekum et al, 2022; Ayugi et al, 2021), India (Gusain et al, 2020), China (Niu et al, 2018) and Australia (Deng et al, 2021). Regarding recreating climatic extremes, the research showed that the CMIP6 GCMs ensemble fared marginally better than the CMIP5 ensemble.…”

Section: Introductionmentioning

confidence: 99%

A novel approach for evaluation of CMIP6 GCMs in simulating temperature and precipitation extremes of Pakistan

Ali,

Hamed,

Muhammad

et al. 2024

Intl Journal of Climatology

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The study used a hybrid approach to evaluate the performance of 20 global climate models (GCMs) from CMIP6 in reproducing 20 extreme temperature and precipitation indices over Pakistan. This study first analysed the future simulations of extremes and discarded the GCMs whose projections fell outside the 95% confidence interval. The remaining GCMs' performance was evaluated using the Kling Gupta Efficiency‐based criteria. The changes in extreme climatic events in Pakistan were projected using the multi‐model ensemble (MME) median of the selected GCMs for four shared socioeconomic pathways (SSPs) in two future periods, 2020–2059 and 2060–2099. Four GCMs' showed inconsistency in projecting future climatic extremes and were discarded initially. The past performance of the remaining GCMs revealed EC‐Earth3‐Veg‐LR, GFDL‐ESM4, MRI‐ESM2‐0 and NOR‐ESM2‐MM to be effective in reproducing extreme indices for the historical period. The MME median of the selected GCMs showed a gradual increase in most of the temperature and precipitation extreme indices in the future periods for all SSPs across the country. Specifically, it showed a higher increase in daily maximum temperature (TXx) by 4.5–5°C, daily minimum temperature (TNn) by more than 4.5°C, consecutive days with a temperature higher than the 95th percentile (WSDI) by >160 days, one‐day maximum rainfall by 9–15 mm and days with precipitation above the 95th percentile by >50 mm in northern high‐elevated areas during 2060–2099 for SSP585. Similarly, a higher increase in TXx by 4.5–5°C, TNn by >4.5°C, WSDI by 140 days and tropical nights by 40–60 days was also found in the western arid region during 2060–2099 for SSP585. The study highlights that northern high‐elevated and western arid regions are at a higher risk of extreme temperatures and precipitation due to climate change.

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Extreme precipitation indices over the Volta Basin: CMIP6 model evaluation

Cited by 17 publications

References 76 publications

Trends and variability of extreme climate indices in the Boucle du Mouhoun (Burkina Faso)

Trends and variability of extreme climate indices in the Boucle du Mouhoun (Burkina Faso)

Assessment of Shared Socioeconomic Pathway (Ssp) Climate Scenarios and its Impacts on the Greater Accra Region

A novel approach for evaluation of CMIP6 GCMs in simulating temperature and precipitation extremes of Pakistan

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