The trend of a meteorological variable plays a significant role to determine the climatic condition of a particular region. Here, a trend analysis is done in North-East (NE) India consisting of Assam and other states which lie in a subtropical region in the southern Himalayan region. Trend direction and magnitude of five meteorological variables i.e. maximum temperature (T_max), minimum temperature (T_min), precipitation (P), potential evapotranspiration (PET), and vapor pressure (VP) are determined using the non-parametric approach i.e. the Mann-Kendall (MK) method and the Sen’s slope (SS) test. It is found that both the T_max and T_min are increasing annually and the increasing rate is higher in daily T_min as compared to daily T_max. The results also revealed that both the annual and monsoon precipitation are decreasing significantly at 0.05 level of significance. Moreover, both the variables PET and VP are identified with a significant increasing change in the monsoon. Shifting of the observed trend in the above meteorological variables has been identified by the change point analysis. This study may be useful in many fields such as hydrological modeling, weather forecasting, watershed management, climate management as well as further research related to climate change.

中文翻译：

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印度东北部亚萨姆邦亚热带地区及其邻近州的气候变量趋势分析

气象变量的趋势在确定特定区域的气候条件方面起着重要作用。在这里，在印度东北（NE）进行了趋势分析，其中包括阿萨姆邦和喜马拉雅南部地区亚热带地区的其他州。使用非参数方法确定了五个气象变量的趋势方向和大小，即最高温度（T _max），最低温度（T _min），降水（P），潜在蒸散量（PET）和蒸气压（VP）。曼恩·肯德尔（MK）方法和森氏斜率（SS）测试。发现T _max和T _min都在逐年增加，并且每天T _min的增加率更高与每日T _max相比。结果还表明，年降水量和季风降水量都在0.05显着水平上显着下降。此外，变量PET和VP均以季风中显着增加的变化确定。通过变化点分析已经确定了上述气象变量中观测趋势的变化。这项研究可能在许多领域中有用，例如水文模型，天气预报，流域管理，气候管理以及与气候变化有关的进一步研究。