Fidelity of CMIP6 Models in Simulating June–September Rainfall Climatology, Spatial and Trend Patterns Over Complex Topography of Greater Horn of Africa

Jima, Wogayehu Legese; Bahaga, Titike Kassa; Tsidu, Gizaw Mengistu

doi:10.1007/s00024-023-03414-8

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2024

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Cited by 2 publications

References 59 publications

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Exploring the influence of improved horizontal resolution on extreme precipitation in Southern Africa major river basins: insights from CMIP6 HighResMIP simulations

Samuel,

Mengistu Tsidu,

Dosio

et al. 2024

Clim Dyn

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Exploring the influence of improved horizontal resolution on extreme precipitation in Southern Africa major river basins: insights from CMIP6 HighResMIP simulations

Samuel,

Mengistu Tsidu,

Dosio

et al. 2024

Clim Dyn

View full text Add to dashboard Cite

Exploring the Influence of Improved Horizontal Resolution on Extreme Precipitation in Southern Africa Major River Basins: Insights from CMIP6 HighResMIP Simulations

Samuel,

Tsidu,

Dosio

et al. 2024

Preprint

Self Cite

View full text Add to dashboard Cite

This study examines the impact of enhanced horizontal resolution on simulating mean and precipitation extremes in the major river basins of southern Africa. Seven global climate models (GCMs) from the High-Resolution Model Intercomparison Project (HighResMIP) within the Coupled Model Intercomparison Project Phase 6 (CMIP6) are employed. The models are available at both high-resolution (HR) and low-resolution (LR) resolutions. Three datasets are used to assess the models for the period 1983-2014 during December-January-February. The distributions of daily precipitation from the HR models are nearly identical to those of their LR counterparts. However, the bias of intense daily precipitation is not uniform across the three observations. Most HR and LR models reasonably simulate mean precipitation, maximum consecutive dry days (CDD), and the number of rainy days (RR1), albeit with some biases. Improvements due to enhanced horizontal resolution are realised for mean precipitation, CDD, and RR1 as noted from high spatial correlation coefficients (SCCs), low root mean square errors, and biases. The CMIP6 HighResMIP models tend to overestimate very and extreme wet days (R95p and R99p), maximum one-day precipitation (Rx1day), and simple daily intensity (SDII) with a pronounced wet bias in HR models for R95p and R99p. Most HR models outperform their LR counterparts in simulating R95p, R99p, and SDII. Our results indicate that enhanced horizontal resolution under CMIP6 HighResMIP results in either improvements (e.g., increased SCC) or deterioration (e.g., decreased SCC), depending on precipitation extremes, river basin, and model. The findings of this study are important for both climate scientists and policymakers.

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Fidelity of CMIP6 Models in Simulating June–September Rainfall Climatology, Spatial and Trend Patterns Over Complex Topography of Greater Horn of Africa

Cited by 2 publications

References 59 publications

Exploring the influence of improved horizontal resolution on extreme precipitation in Southern Africa major river basins: insights from CMIP6 HighResMIP simulations

Exploring the influence of improved horizontal resolution on extreme precipitation in Southern Africa major river basins: insights from CMIP6 HighResMIP simulations

Exploring the Influence of Improved Horizontal Resolution on Extreme Precipitation in Southern Africa Major River Basins: Insights from CMIP6 HighResMIP Simulations

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