喜马拉雅东部冰川流域温度梯度的季节特征

IF 0.7 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of Climate Change Pub Date : 2021-09-02 DOI:10.3233/jcc210016
Pradeep Vashisht, S. Tayal
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引用次数: 0

摘要

利用2017 - 2018年拉通楚河谷4个站点的气候资料,研究了喜马拉雅东部地区温度递减率(TLR)的月特征和季节特征。研究中使用的车站高度从1,742米到4,450米不等。使用线性回归模型评估tlr。喜马拉雅东部的平均年TLR在林木线以下(-0.52°C/100 m)低于林木线以上(-0.47°C/100 m)。TLR系列在一年中呈现两个高峰,这证实了各个季节的不同控制因素。季风前季节林木线以下最高TLR为-0.60°C/100 m,林木线以上最高TLR为-0.64°C/100 m。在林木线以下(-0.58°C/100米)和林木线以上的季风区(-0.57°C/100米),季风后的递减率变化第二高。最小递减率在冬季林木线以下(-0.42°C/100 m)和林木线以上(-0.18°C/100 m)。这项研究的结果增加了对全球气候变化影响的海拔依赖性变暖的认识。结果还表明,利用卫星温度记录或将环境递减率应用于低海拔温度记录的气候和冰川模拟可能无法呈现实际的温度趋势。
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Seasonal Characteristics of Temperature Gradient in a Glaciated Catchment in Eastern Himalaya
With climatic information from four stations in Rathong Chu valley for the period from 2017 to 2018, this study presents monthly and seasonal characteristics of the temperature lapse rate (TLR) in the eastern Himalayas. The station heights utilised in the study ranged from 1,742 to 4,450 m. The TLRs were assessed utilising a linear regression model. The mean yearly TLR for eastern Himalaya is less sheer (-0.52°C/100 m) beneath the tree line than (-0.47°C/100 m) over the tree line. The series of TLR exhibits two peaks in a year which confirms the distinctive controlling elements in the individual seasons. The highest TLR was found to be -0.60 °C/100 m during the pre-monsoon season below the tree line and -0.64 °C/100 m above the tree line. The post-monsoon has the second highest lapse rate change beneath the tree line (-0.58 °C/100 m) and in the monsoon (-0.57 °C/100 m) above the tree line. The minimum lapse rates were observed in the winter season below the treeline (-0.42 °C/100 m) and (-0.18 °C/100 m) above the tree line. The outcomes of this study add to the insight of elevation-dependent warming affected by worldwide climate change. Results also suggest that the climate and glacier modelling using the satellite temperature records or by applying the environmental lapse rate on temperature records from low altitudes may not be presenting the actual temperature trends.
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来源期刊
Journal of Climate Change
Journal of Climate Change METEOROLOGY & ATMOSPHERIC SCIENCES-
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16.70%
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