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Comparison of regional and seasonal changes and trends in daily surface temperature extremes over India and its subregions

机译:印度及其次区域的区域和季节变化以及每日极端温度的趋势比较

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Regional changes in surface meteorological variables are one of the key issues affecting the Indian subcontinent especially in recent decades. These changes impact agriculture, health, water, etc., hence important to assess and investigate these changes. The Indian subcontinent is characterized by heterogeneous temperature regimes at regional and seasonal scales. The India Meteorological Department (IMD) observations are limited to recent decades as far as its spatial distribution is concerned. In particular, over Hilly region, these observations are sporadic. Due to variable topography and heterogeneous land use/land cover, it is complex to substantiate impacts. The European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim (ERA-I) reanalysis not only covers a larger spatial domain but also provides a greater number of inputs than IMD. This study used ERA-I in conjunction with IMD gridded data to provide a comparative assessment of changing temperature patterns over India and its subregions at both regional and seasonal scales. Warming patterns are observed in both ERA-I and IMD data sets. Cold nights decrease during winter; warm days increase and warm spell duration increased during winter could become a cause of concern for society, agriculture, socio-economic reasons, and health. Increasing warm days over the hilly regions may affect the corresponding snow cover and thus river hydrology and glaciological dynamics. Such changes during monsoon are slower, which could be attributed to moisture availability to dampen the temperature changes. On investigation and comparison thereon, the present study provisions usages of ERA-I-based indices for various impact and adaptation studies.
机译:地表气象变量的区域变化是影响印度次大陆的关键问题之一,特别是在最近几十年中。这些变化影响农业,健康,水等,因此对于评估和调查这些变化很重要。印度次大陆的特征是区域和季节尺度上的温度异质性。就其空间分布而言,印度气象局(IMD)的观测仅限于最近几十年。特别是在丘陵地区,这些观察是零星的。由于地形变化和土地利用/土地覆盖的多样性,要证实影响是很复杂的。欧洲中距离天气预报中心(ECMWF)ERA临时(ERA-I)重新分析不仅覆盖更大的空间范围,而且比IMD提供更多的输入。这项研究结合ERA-I和IMD网格数据,以区域和季节尺度对印度及其次区域温度模式的变化进行了比较评估。在ERA-1和IMD数据集中都观察到了升温模式。冬季,寒冷的夜晚减少;温暖的日子增加,冬季的温暖假期持续时间增加,可能成为引起社会,农业,社会经济原因和健康关注的原因。丘陵地区温暖天气的增加可能会影响相应的积雪,进而影响河流水文和冰川动力学。季风期间的此类变化较慢,这可能归因于水分的可利用性以抑制温度变化。通过调查和比较,本研究为各种影响和适应性研究提供了基于ERA-I的索引的用法。

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