The hourly wind-bias-adjusted precipitation data set from the Environment and Climate Change Canada automated surface observation network (2001–2019)

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