Unshielded precipitation gauge collection efficiency with wind speed and hydrometeor fall velocity

• Published in: Hydrology and earth system sciences 2021-10, Vol.25 (10), p.5473-5491
• Main Authors: Hoover, Jeffery, Earle, Michael E, Joe, Paul I, Sullivan, Pierre E
• Format: Article
• Language: English
• Subjects: Atmospheric precipitations; Automation; Bias; CAD; Climate; Collection; Computational fluid dynamics; Computer aided design; Computer applications; Efficiency; Fluid dynamics; Gauges; Hydrodynamics; Hydrometeor types; Hydrometeors; Mathematical models; Precipitation; Precipitation (Meteorology); Precipitation gauges; Precipitation measurements; Rainfall; Root-mean-square errors; Snow; Temperature; Temperature dependence; Transfer functions; Turbulence models; Velocity; Wind; Wind effects; Wind speed
• ISSN: 1607-7938; 1027-5606; 1607-7938
• DOI: 10.5194/hess-25-5473-2021

Collection efficiency transfer functions that compensate for wind-induced collection loss are presented and evaluated for unshielded precipitation gauges. Three novel transfer functions with wind speed and precipitation fall velocity dependence are developed, including a function from computational fluid dynamics modelling (CFD), an experimental fall velocity threshold function (HE1), and an experimental linear fall velocity dependence function (HE2). These functions are evaluated alongside universal (KUniversal) and climate-specific (KCARE) transfer functions with wind speed and temperature dependence. Transfer function performance is assessed using 30 min precipitation event accumulations reported by unshielded and shielded Geonor T-200B3 precipitation gauges over two winter seasons. The latter gauge was installed in a Double Fence Automated Reference (DFAR) configuration. Estimates of fall velocity were provided by the Precipitation Occurrence Sensor System (POSS). The CFD function reduced the RMSE (0.08 mm) relative to KUniversal (0.20 mm), KCARE (0.13 mm), and the unadjusted measurements (0.24 mm), with a bias error of 0.011 mm. The HE1 function provided a RMSE of 0.09 mm and bias error of 0.006 mm, capturing the collection efficiency trends for rain and snow well. The HE2 function better captured the overall collection efficiency, including mixed precipitation, resulting in a RMSE of 0.07 mm and bias error of 0.006 mm. These functions are assessed across solid and liquid hydrometeor types and for temperatures between −22 and 19 ∘C. The results demonstrate that transfer functions incorporating hydrometeor fall velocity can dramatically reduce the uncertainty of adjusted precipitation measurements relative to functions based on temperature.