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trueprecipitation during the experiment for rain, sleet, and snow, respectively. For the losses, specific errors account for a larger proportion than systematic errors for rainfall and snowfall events, while systematic errors account for a larger proportion than specific errors for sleet events. Regression analyses show that the amount of precipitation and mean air temperature can affect specific errors, particularly for snowfall events. On average, the specific errors per event were 0.6, 0.0, and 0.4 mm for rain, sleet, and snow, respectively, and the systematic errors per event were 0.1, 0.1 and 0.0 mm for rain, sleet, and snow, respectively. For systematic errors, wind speed was still the most significant factor for the catch ratio (CR) of rain and sleet, whereas humidity affected the CR of snow to a certain extent. Currently, given that the transfer functions were agreed to derive from the DFAR (DFIR fence + automatic weighing gauge + shield + precipitation detector), considerable attention should be focused on the specific errors of the automatic weighing gauge.
Discovered through pilot similarity algorithms. Send us your feedback.