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Publication Additional Information Download
Publication Type
Journal Article
Authorship
Thériault, J. M., N. R. Leroux and R. M. Rasmussen
Title
Improvement of solid precipitation measurements using a hotplate precipitation gauges
Year
2020
Publication Outlet
J. Hydrometeorol., 22, 877-885
DOI
https://doi.org/10.1175/JHM-D-20-0168.1
Citation
Thériault, J. M., N. R. Leroux and R. M. Rasmussen (2020) Improvement of solid precipitation measurements using a hotplate precipitation gauges, J. Hydrometeorol., 22, 877-885, https://doi.org/10.1175/JHM-D-20-0168.1
Abstract
Accurate snowfall measurement is challenging because it depends on the precipitation gauge used, meteorological conditions, and the precipitation microphysics. Upstream of weighing gauges, the flow field is disturbed by the gauge and any shielding used usually creates an updraft, which deflects solid precipitation from falling in the gauge, resulting in significant undercatch. Wind shields are often used with weighing gauges to reduce this updraft, and transfer functions are required to adjust the snowfall measurements to consider gauge undercatch. Using these functions reduces the bias in precipitation measurement but not the root-mean-square error (RMSE). In this study, the accuracy of the Hotplate precipitation gauge was compared to standard unshielded and shielded weighing gauges collected during the WMO Solid Precipitation Intercomparison Experiment program. The analysis performed in this study shows that the Hotplate precipitation gauge bias after wind correction is near zero and similar to wind corrected weighing gauges. The RMSE of the Hotplate precipitation gauge measurements is lower than weighing gauges (with or without an Alter shield) for wind speeds up to 5 m s−1, the wind speed limit at which sufficient data were available. This study shows that the Hotplate precipitation gauge measurement has a low bias and RMSE due to its aerodynamic shape, making its performance mostly independent of the type of solid precipitation.
Program Affiliations
GWF: Global Water Futures
Project Affiliations
GWF-MWF: Mountain Water Futures
GWF-SaJESS: Saint John river Experiment on cold Season Storms
GWF-SPADE: Storms and Precipitation Across the Continental Divide Experiment
Publication Stage
Published
Additional Information
Core modelling, SAJESS, SPADE, Mountain Water Futures , Refereed Publications
Download Links
https://doi.org/10.1175/JHM-D-20-0168.1
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