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Snow Precipitation Measured by Gauges: Systematic Error Estimation and Data Series Correction in the Central Italian Alps

机译:量规测量的降雪量:意大利中部阿尔卑斯山的系统误差估计和数据序列校正

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Precipitation measurements by rain gauges are usually affected by a systematic underestimation, which can be larger in case of snowfall. The wind, disturbing the trajectory of the falling water droplets or snowflakes above the rain gauge, is the major source of error, but when tipping-bucket recording gauges are used, the induced evaporation due to the heating device must also be taken into account. Manual measurements of fresh snow water equivalent (SWE) were taken in Alpine areas of Valtellina and Vallecamonica, in Northern Italy, and compared with daily precipitation and melted snow measured by manual precipitation gauges and by mechanical and electronic heated tipping-bucket recording gauges without any wind-shield: all of these gauges underestimated the SWE in a range between 15% and 66%. In some experimental monitoring sites, instead, electronic weighing storage gauges with Alter-type wind-shields are coupled with snow pillows data: daily SWE measurements from these instruments are in good agreement. In order to correct the historical data series of precipitation affected by systematic errors in snowfall measurements, a simple ‘at-site’ and instrument-dependent model was first developed that applies a correction factor as a function of daily air temperature, which is an index of the solid/liquid precipitation type. The threshold air temperatures were estimated through a statistical analysis of snow field observations. The correction model applied to daily observations led to 5–37% total annual precipitation increments, growing with altitude (1740 ÷ 2190 m above sea level, a.s.l.) and wind exposure. A second ‘climatological‘ correction model based on daily air temperature and wind speed was proposed, leading to errors only slightly higher than those obtained for the at-site corrections.
机译:雨量计的降水量测量通常受到系统性低估的影响,在降雪的情况下可能会更大。风,是干扰雨量计上方的水滴或雪花下落的轨迹的主要误差源,但是当使用翻斗式记录计时,还必须考虑由于加热装置引起的蒸发。在意大利北部的瓦尔泰利纳和瓦尔莱卡莫尼卡的高山地区进行了手动的新鲜雪水当量(SWE)测量,并将其与通过手动降水量计以及通过机械和电子加热的翻斗式记录仪测量的每日降水量和融雪进行了比较,而没有任何挡风玻璃:所有这些量表均低估了SWE,其范围在15%到66%之间。取而代之的是,在一些实验监测站点中,带有Alter型防风罩的电子称重存储仪表与雪枕数据结合在一起:这些仪器的每日SWE测量值非常吻合。为了校正受降雪测量中系统误差影响的降水的历史数据序列,首先开发了一个简单的“现场”且依赖于仪器的模型,该模型应用校正因子作为每日气温的函数,该指标是每日气温的函数固/液沉淀类型。通过对雪场观测值的统计分析来估计阈值气温。应用于日常观测的修正模型导致年降水总量增加5–37%,并随海拔高度(海拔高度4040÷2190 m)和风向的增加而增加。提出了第二种基于每日气温和风速的“气候”校正模型,导致误差仅略高于现场校正获得的误差。

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