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首页> 外文期刊>Indian Journal of Ecology >Evaluation of Surface Temperatureand Prediction of Changes in Future Projections Using Quantile to Quantile Change Factor Methodologyover Cauvery River Basin-Peninsular India
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Evaluation of Surface Temperatureand Prediction of Changes in Future Projections Using Quantile to Quantile Change Factor Methodologyover Cauvery River Basin-Peninsular India

机译:用分位数达米尔河流域河滨印度对综合变化因子方法进行表面温度评价和未来预测变化的预测

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摘要

The estimated average surface temperature using Q-Q CFM over the Cauvery river basin explains the rapid changes in climatic conditions. The study illustrates a significant increase in average surface temperature at Cauvery river basin due to global warming. The average temperature trend shows drop in the near future up to 0.5°C especially during the winter season. However, the trend rapidly increases in later years over the entire basin during summer seasons. The maximum change is observed in summerduring the far future and which records the average temperature reading crossing 30°C at the lower Cauvery river basin. The maximum temperature change of 1,8°C to 2.7°C is estimated in far future time slice during summer season. The Q-Q CFM techniqueperforms well and overcomes the drawbacks of the single change factor and other multiple change factor methods. The average temperature reading crossing a record 30°C at the lower Cauvery river basin nearing the end of the current century. The Q-Q CFMis computationally efficient and an effective technique for regional climate change assessments. The quantile to quantile change factor method is suggested to overcome the drawbacks of traditional change factor methods.
机译:在Cauvery River盆地上使用Q-Q CFM的估计平均表面温度解释了气候条件的快速变化。该研究表明,由于全球变暖,Cauvery River盆地的平均表面温度显着增加。平均温度趋势显示在不久的将来下降至0.5°C,特别是在冬季。然而,在夏季期间整个盆地的后期趋势迅速增加。在夏季,在苏醒器上观察到最大变化,并且记录了下Cauvery河流域30°C的平均温度读数。在夏季的未来未来的时间切片中估计了1,8°C至2.7°C的最高温度变化。 Q-Q CFM TechniquePerforms井并克服了单个变化因子和其他多变化因子方法的缺点。在较低的Cauvery River盆地穿过历史新30°C的平均温度接近本世纪末。 Q-Q CFMIS计算上有效且有效的区域气候变化评估技术。建议克斯定量转化因子变化因子方法来克服传统变化因子方法的缺点。

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