Extreme temperature indices over the Volta Basin: CMIP6 model evaluation

被引:0
|
作者
Jacob Agyekum
Thompson Annor
Emmanuel Quansah
Benjamin Lamptey
Leonard Kofitse Amekudzi
Benjamin Kofi Nyarko
机构
[1] Kwame Nkrumah University of Science and Technology,Department of Meteorology and Climate Science
[2] Council for Scientific and Industrial Research,Water Research Institute
[3] University of Leeds,National Centre for Atmospheric Science
[4] University of Cape Coast,Geography and Regional Planning
来源
Climate Dynamics | 2023年 / 61卷
关键词
Volta Basin; Temperature extremes; CMIP6; Evaluation; Trends;
D O I
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中图分类号
学科分类号
摘要
Climate extremes pose threats to lives and properties. It is therefore critical to assess the dynamics of climate extremes in the future. Knowledge of the appropriate models to be used for projection helps reduces uncertainties in model projections. The study assesses the evolution of 8 extreme temperature indices over the Volta Basin for the 1985–2014 period. Consequently, the ability of 40 Coupled Model Intercomparison Project Phase 6 (CMIP6) models in reproducing these extremes is assessed. The biases and the M-scores of the annual spatial distribution of indices are determined. It is observed that the temperature extremes are frequent and profound in the Sahel, indicating that the Sahel is susceptible to extreme temperature changes. The warm indices showed positive trends, while the cold indices mainly showed negative trends. Most of the models had difficulty reproducing the climatologies of the indices. However, the CMCC-ESM2, MPI-ESM-1-2-HAM, MIROC6, and AWI-CM-1-1-MR reproduced the TNN, TNX, TXN, and TXX well while the MIROC6, MRI-ESM2-0, INM-CM4-8, and MIROC6 showed robust performance in reproducing the TN10P, TN90P, TX10P, and TX90P respectively. Poor performance of models may be due to poor simulation of sub-grid features such as vegetation cover, and clouds as a result of coarse grid sizes. Warming of the basin poses a significant impact on agriculture, drought occurrence, and seasonal to annual scale precipitation distribution. Southern sections of the basin may be vulnerable to temperature-related extremes as a result of deforestation and urbanization.
引用
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页码:203 / 228
页数:25
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