首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Multi-model CMIP5 and CORDEX simulations of historical summer temperature and precipitation variabilities over West Africa
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Multi-model CMIP5 and CORDEX simulations of historical summer temperature and precipitation variabilities over West Africa

机译:西非夏季气温和降水变化的多模式CMIP5和CODEX模拟

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摘要

The mean climatology, inter-model variability and spatio-temporal patterns of temperature and precipitation over West Africa from Coupled Model Intercomparison Project 5 (CMIP5), CMIP5_SUBSET ensemble of global climate models driving COordinated Regional climate Downscaling EXperiment (CORDEX) and CORDEX multi-model ensembles are evaluated and intercompared for the monsoon season (June-September). We find that, while CORDEX fails to outperform the simulated mean climatology of temperature by the CMIP5 ensembles, it substantially improves precipitation and provides more realistic fine-scale features tied to local topography and landuse. This improved performance over the region is found to depend more on the internal models physics than the driving boundary conditions and results from a more consistent and realistic simulation of monsoon precipitation across the various regional climate models (RCMs). Rotated empirical orthogonal function (REOF) analysis indicates that the CORDEX ensemble captures better the spatio-temporal variability of both temperature and precipitation (first REOF mode), in particular depicting the warming and Sahel precipitation recovery in recent decades over West Africa. On the other hand, the spatial patterns and associated time series of the last two REOF modes in CORDEX mostly follow the CMIP5_SUBSET pointing towards a strong role of the boundary forcing in the RCM simulation of precipitation variability.
机译:评估了季风季节(6-9月)西非耦合模式比较项目5(CMIP5)、CMIP5_SUBSET[驱动协调区域气候降尺度实验(CORDEX)的全球气候模式集合]和CORDEX多模式集合对西非温度和降水的平均气候学、模式间变率和时空模式进行了评估和比较。我们发现,虽然CODEX未能优于CMIP5集合模拟的平均温度气候学,但它大大改善了降水量,并提供了与当地地形和土地利用相关的更真实的精细尺度特征。研究发现,该地区性能的提高更多地取决于内部模型的物理特性,而不是驱动边界条件,并且是对各种区域气候模型(RCM)的季风降水进行更一致和更真实的模拟的结果。旋转经验正交函数(REOF)分析表明,CODEX集合更好地捕捉了温度和降水的时空变化(第一REOF模式),特别是描绘了近几十年来西非的变暖和萨赫勒降水恢复。另一方面,CORDEX中最后两种REOF模态的空间格局和相关时间序列大多遵循CMIP5_SUBSET,表明边界强迫在降水变率的RCM模拟中起着重要作用。

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