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Bias Correction and Trend Analysis of Temperature and Rainfall in Eastern India
Proceedings of the National Academy of Sciences, India Section A: Physical Sciences ( IF 0.9 ) Pub Date : 2024-04-21 , DOI: 10.1007/s40010-024-00876-w
Rajiv Kumar Srivastava , Biplab Sadhukhan , Arun Chakraborty , Rabindra Kumar Panda

In this study trend analysis and bias correction have been done for dry (January–May) and wet (June–September) seasons under two future climate period 2021–2050 and 2051–2080 with respect to the current climate period 1980–2012 in Eastern India. The different representative concentration pathways (RCPs) of 2.6, 4.5, 6.0, and 8.5 were used to assess the future trend of the study area. Results indicate that the increasing RCP increases temperature (maximum and minimum) in all regions due to higher radiative forces (4–8.5 W/m2) with respect to the baseline temperature during the period 2051–2080. Further, the bias-corrected rainfall has a declined trend with respect to baseline, and RCP’s values for both the time slices (2021–2050 and 2051–2080) showed less scattering in the amount of rainfall for the wet season in comparison to the dry season.



中文翻译:

印度东部气温和降雨量的偏差校正和趋势分析

在这项研究中,相对于东部地区当前的气候时期1980-2012年,在2021-2050年和2051-2080年两个未来气候时期下,对旱季(1月至5月)和雨季(6月至9月)进行了趋势分析和偏差校正。印度。使用2.6、4.5、6.0和8.5的不同代表性浓度路径(RCP)来评估研究区域的未来趋势。结果表明,由于 2051-2080 年期间相对于基线温度更高的辐射力 (4-8.5 W/m 2 ) ,RCP 的增加导致所有区域的温度(最大值和最小值)升高。此外,偏差校正后的降雨量相对于基线呈下降趋势,两个时间片(2021-2050 年和 2051-2080 年)的 RCP 值显示,与旱季相比,雨季降雨量的分散性较小。季节。

更新日期:2024-04-21
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