基于 CRU 和 ERA5 再分析的印度东北部及毗邻地区地表温度长期趋势分析

IF 1.3 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY
Rohit Gautam, Binita Pathak, Pradip Kumar Bhuyan, Arup Borgohain, Shyam Sundar Kundu
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引用次数: 0

摘要

摘要 本研究利用气候研究单位(CRU)和 ECMWF Reanalysis version-5 (ERA5) 数据,调查了 1901-2020 年期间印度东北部地区及周边地区的年平均气温和季节平均气温趋势,特别强调了近期(1979-2020 年)的趋势。研究了 1901-2020 年间不同季节地表温度的时空分布和相关偏差。通过对整个研究区域 120 年间的每个月份进行线性回归,评估了气温的长期趋势。此外,还采用 Mann-Kendall 和 Sen 的斜率检验来评估不同海拔的 11 个选定地点的趋势幅度。污染严重的孟加拉国周边地区、缅甸以及印度的西孟加拉邦、恰尔康得邦、比哈尔邦和恰蒂斯加尔邦的平均气温明显高于该地区的其他地方。近地面温度和 2 米温度在 1901-1950 年、1979-2020 年以及 1901-2020 年整个期间都呈现出正趋势,尽管在 1951-1978 年期间呈现出负趋势。对印度东北部及周边地区的年度和季节性气温趋势进行了研究,并对 11 个选定地点进行了 Mann-Kendall 和 Sen 斜坡测试。温度数据显示,1901-1950 年、1979-2020 年期间的气温呈上升趋势,但 1951-1978 年期间的气温呈下降趋势。高海拔地区的变暖率较高,尤其是在季风后和冬季。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Long-term trend analysis of surface temperature over North-East India and adjoining regions based on CRU and ERA5 reanalysis

Long-term trend analysis of surface temperature over North-East India and adjoining regions based on CRU and ERA5 reanalysis

Abstract

This study investigated the annual and seasonal mean temperature trends of North-East Indian region and surrounding territories over the period 1901–2020 with special emphasis on the trends from the recent past (1979–2020) utilising Climatic Research Unit (CRU) and ECMWF Reanalysis version-5 (ERA5) data. Spatio-temporal distribution of surface temperature across different seasons and associated biases between 1901 and 2020 were examined. The long-term trend of temperature was evaluated by linear regression for each month from the entire 120-yr period over the whole study domain. Further, Mann–Kendall and Sen’s slope test was employed to assess the magnitude of the trend at 11 selected locations of varying altitudes. Areas around Bangladesh, which are notably polluted, as well as Myanmar and the Indian states of West Bengal, Jharkhand, Bihar and Chhattisgarh exhibited notable mean temperatures than the rest of the region. Both near-surface and 2m-temperature displayed positive trends for the period 1901–1950, 1979–2020, and during the whole duration 1901–2020, despite negative trends during 1951–1978. It has been observed that the regions with relatively higher elevations have experienced a larger warming rate than the low-elevation zones.

Highlights

  • Annual and seasonal temperature trends for North-East India and surrounding territories were studied.

  • Mann-Kendall and Sen’s slope test was carried out for 11 selected locations.

  • Post-monsoon season experienced greatest rise in mean temperatures between 1901 and 2020.

  • Temperature data revealed increasing trends for periods 1901–1950, 1979–2020, but decreasing trends for 1951-1978.

  • Warming rates were higher for higher elevation zones, particularly during the postmonsoon and winter months.

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来源期刊
Journal of Earth System Science
Journal of Earth System Science Earth and Planetary Sciences-General Earth and Planetary Sciences
CiteScore
3.20
自引率
5.30%
发文量
226
期刊介绍: The Journal of Earth System Science, an International Journal, was earlier a part of the Proceedings of the Indian Academy of Sciences – Section A begun in 1934, and later split in 1978 into theme journals. This journal was published as Proceedings – Earth and Planetary Sciences since 1978, and in 2005 was renamed ‘Journal of Earth System Science’. The journal is highly inter-disciplinary and publishes scholarly research – new data, ideas, and conceptual advances – in Earth System Science. The focus is on the evolution of the Earth as a system: manuscripts describing changes of anthropogenic origin in a limited region are not considered unless they go beyond describing the changes to include an analysis of earth-system processes. The journal''s scope includes the solid earth (geosphere), the atmosphere, the hydrosphere (including cryosphere), and the biosphere; it also addresses related aspects of planetary and space sciences. Contributions pertaining to the Indian sub- continent and the surrounding Indian-Ocean region are particularly welcome. Given that a large number of manuscripts report either observations or model results for a limited domain, manuscripts intended for publication in JESS are expected to fulfill at least one of the following three criteria. The data should be of relevance and should be of statistically significant size and from a region from where such data are sparse. If the data are from a well-sampled region, the data size should be considerable and advance our knowledge of the region. A model study is carried out to explain observations reported either in the same manuscript or in the literature. The analysis, whether of data or with models, is novel and the inferences advance the current knowledge.
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