The measurement of precipitation in the Environment and Climate Change Canada (ECCC) surface network is a crucial component for climate and weather monitoring, flood and water resource forecasting, numerical weather prediction, and many other applications that impact the health and safety of Canadians. Through the late 1990s and early 2000s, the ECCC surface network modernization resulted in a shift from manual to automated precipitation measurements. Although many advantages to automation are realized, such as enhanced capabilities for monitoring in remote locations and a higher frequency of observations at lower cost, the increased reliance on automated precipitation gauges has also resulted in additional challenges, especially with data quality and homogenization. The automated weighing precipitation gauges used in the ECCC operational network have an increased propensity for wind-induced undercatch of solid precipitation. One outcome of the World Meteorological Organization (WMO) Solid Precipitation Intercomparison Experiment (SPICE) was the development of transfer functions for the adjustment of high-frequency solid precipitation measurements made with gauge/wind shield configurations used in the ECCC surface network. Using the SPICE universal transfer function (UTF), hourly precipitation measurements from 397 ECCC automated climate stations were retroactively adjusted for wind undercatch. The data format, quality control, and adjustment procedures are described here. The hourly adjusted data set (2001–2019; version v2019UTF) is available via the ECCC data catalogue at https://doi.org/10.18164/6b90d130-4e73-422a-9374-07a2437d7e52 (ECCC, 2021). A basic spatial impact assessment shows that the highest relative total precipitation adjustments occur in the Arctic, where solid precipitation has an overall higher annual occurrence ratio. The highest adjustments for solid precipitation are shared by the Arctic, Southern Prairies, and the coastal Maritimes, where stations tend to be more exposed and snowfall events occur at higher wind speeds.

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来自加拿大环境与气候变化自动地面观测网络（2001-2019）的每小时风偏差调整降水数据集

加拿大环境与气候变化 (ECCC) 地面网络中的降水测量是气候和天气监测、洪水和水资源预报、数值天气预报以及影响加拿大人健康和安全的许多其他应用的重要组成部分。在 1990 年代末和 2000 年代初，ECCC 地面网络现代化导致降水测量从手动转向自动。尽管实现了自动化的许多优势，例如增强了偏远地区的监测能力以及以更低的成本提高了观测频率，但对自动化降水量计的依赖增加也带来了额外的挑战，尤其是在数据质量和均质化方面。ECCC 运营网络中使用的自动称重降水量计更容易因风引起的固体降水不足。世界气象组织 (WMO) 固体降水比对实验 (SPICE) 的一项成果是开发了传递函数，用于调整 ECCC 地面网络中使用的仪表/挡风罩配置进行的高频固体降水测量。使用 SPICE 通用传递函数 (UTF)，对来自 397 个 ECCC 自动化气候站的每小时降水量测量结果进行了追溯调整以应对风力不足。此处描述了数据格式、质量控制和调整程序。每小时调整的数据集（2001-2019；版本 v2019UTF）可通过 ECCC 数据目录获得，网址为 https://doi.org/10。18164/6b90d130-4e73-422a-9374-07a2437d7e52（ECCC，2021 年）。一项基本的空间影响评估表明，最高的相对总降水调整发生在北极，那里的固体降水总体上具有更高的年发生率。北极、南部大草原和沿海沿海地区对固体降水的调整幅度最大，这些地方的气象站往往更容易暴露，降雪事件发生在更高的风速下。