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首页> 外文会议>Cold and mountain region hydrological systems under climate change: towards improved projections >The probability of precipitation as snow derived from daily air temperature for high elevation areas of Colorado, United States
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The probability of precipitation as snow derived from daily air temperature for high elevation areas of Colorado, United States

机译：在美国科罗拉多州的高海拔地区，从日常气温中得出的雪降水概率

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Precipitation phase affects the energy balance of the Earth's surface. Snow formation depends upon atmospheric conditions and is driven mainly by temperature. Dewpoint and air temperature thresholds at or near freezing temperatures have been used to determine precipitation phase in some climates, but may not adequately represent the same phase of precipitation in snowy and semi-arid regions, nor are relative humidity data available at many stations. The objective of this study is to describe relations between average air temperature and probability of snow for nine high elevation (＞2000 m) meteorological stations across central Colorado, USA. Fifty years of data were analysed, generating snow probabilities from ratios of the number of days with snow and days with precipitation. These were compared to the average daily temperature during precipitation using 0.2℃ intervals. Best-fit linear relations reveal higher probabilities of snowfall in the study areas at temperatures several degrees warmer than previously published curves.
机译：降水阶段会影响地球表面的能量平衡。雪的形成取决于大气条件，并且主要由温度驱动。在某些气候下，已经使用了处于或接近冰点温度的露点和空气温度阈值来确定降水阶段，但可能不足以代表多雪和半干旱地区的同一降水阶段，许多站点也没有相对湿度数据。这项研究的目的是描述美国科罗拉多州中部的九个高海拔（＞ 2000 m）气象站的平均气温与降雪概率之间的关系。分析了五十年的数据，从有雪天数与有降水天数之比得出雪概率。将它们与沉淀期间的平均日温度（以0.2℃为间隔）进行比较。最佳拟合线性关系显示，与以前发表的曲线相比，温度高几度的研究区域降雪的可能性更高。

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