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Evaluation of the global climate models in the CMIP5 over the Tibetan Plateau.

机译:青藏高原CMIP5中全球气候模型的评估。

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The performance of 24 GCMs available in the fifth phase of the Coupled Model Intercomparison Project (CMIP5) is evaluated over the eastern Tibetan Plateau (TP) by comparing the model outputs with ground observations for the period 1961-2005. The twenty-first century trends of precipitation and temperature based on the GCMs' projections over the TP are also analyzed. The results suggest that for temperature most GCMs reasonably capture the climatological patterns and spatial variations of the observed climate. However, the majority of the models have cold biases, with a mean underestimation of 1.1 degrees -2.5 degrees C for the months December-May, and less than 1 degrees C for June-October. For precipitation, the simulations of all models overestimate the observations in climatological annual means by 62.0%-183.0%, and only half of the 24 GCMs are able to reproduce the observed seasonal pattern, which demonstrates a critical need to improve precipitation-related processes in these models. All models produce a warming trend in the twenty-first century under the Representative Concentration Pathway 8.5 (rcp8.5) scenario; in contrast, the rcp2.6 scenario predicts a lower average warming rate for the near term, and a small cooling trend in the long-term period with the decreasing radiative forcing. In the near term, the projected precipitation change is about 3.2% higher than the 1961-2005 annual mean, whereas in the long term the precipitation is projected to increase 6.0% under rcp2.6 and 12.0% under the rcp8.5 scenario. Relative to the 1961-2005 mean, the annual temperature is projected to increase by 1.2 degrees -1.3 degrees C in the short term; the warmings under the rcp2.6 and rcp8.5 scenarios are 1.8 degrees and 4.1 degrees C, respectively, for the long term.
机译:通过将模型输出与1961-2005年期间的地面观测值进行比较,对青藏高原东部(TP)耦合模型比较项目(CMIP5)的第五阶段中可用的24个GCM的性能进行了评估。根据GCM对TP的预测,还分析了21世纪的降水和温度趋势。结果表明,对于温度,大多数GCM合理地捕获了观测气候的气候模式和空间变化。但是,大多数模型具有冷偏差,在12月至5月的月份中,平均低估了1.1度-2.5摄氏度,在6月至10月的期间中,平均低估了1度以下。对于降水,所有模型的模拟高估了气候年均观测值的62.0%-183.0%,并且24个GCM中只有一半能够再现观测到的季节模式,这表明改善与降水相关的过程的关键需求这些模型。在代表浓度途径8.5(rcp8.5)的情况下,所有模型都在二十一世纪产生了变暖的趋势。相比之下,rcp2.6情景预测,随着辐射强迫的降低,近期的平均升温速率会降低,而长期的降温趋势则较小。在短期内,预​​计的降水变化将比1961-2005年的年均值高约3.2%,而从长期来看,在rcp2.6下,降水量预计将增加6.0%,在rcp8.5方案下,降水量将增加12.0%。相对于1961-2005年的平均值,短期内预计年温度将上升1.2度-1.3摄氏度;从长期来看,rcp2.6和rcp8.5方案下的升温分别为1.8摄氏度和4.1摄氏度。

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