Preprints
https://doi.org/10.5194/hess-2017-8
https://doi.org/10.5194/hess-2017-8
14 Feb 2017
 | 14 Feb 2017
Status: this preprint was under review for the journal HESS but the revision was not accepted.

Correcting precipitation measurements of TRwS204 in the Qilian Mountains, China

Qin Zheng, Rensheng Chen, Chuntan Han, Junfeng Liu, Yaoxuan Song, Zhangwen Liu, Yong Yang, Lei Wang, Xiqiang Wang, Xiaojiao Liu, Shuhai Guo, and Guohua Liu

Abstract. With the development and popularization of automatic weather stations, testing the performance of the recording precipitation gauges and deriving the adjustment algorithm have become the top priority. This study mainly analyzed the losses of TRwSSA (TRwS204 shielded with a single Alter) through correlation and regression methods, and derived the correction algorithm from August 2014 to August 2016 in the Qilian Mountains, China. Results show that precipitation collected with TRwSSA was 116.2, 5.8, and 7.6 mm less than the true precipitation 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.

Qin Zheng, Rensheng Chen, Chuntan Han, Junfeng Liu, Yaoxuan Song, Zhangwen Liu, Yong Yang, Lei Wang, Xiqiang Wang, Xiaojiao Liu, Shuhai Guo, and Guohua Liu
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Qin Zheng, Rensheng Chen, Chuntan Han, Junfeng Liu, Yaoxuan Song, Zhangwen Liu, Yong Yang, Lei Wang, Xiqiang Wang, Xiaojiao Liu, Shuhai Guo, and Guohua Liu
Qin Zheng, Rensheng Chen, Chuntan Han, Junfeng Liu, Yaoxuan Song, Zhangwen Liu, Yong Yang, Lei Wang, Xiqiang Wang, Xiaojiao Liu, Shuhai Guo, and Guohua Liu

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Latest update: 27 Feb 2024
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Short summary
In this study, we analyzed the losses of TRwS204, and found that the contributions from specific and systematic errors are different for different precipitation types. Regression analyses show that both systematic and specific errors of TRwS204 measurements are affected by meteorological variables. With the development and popularization of automatic weather stations, the quantification for these two kinds of errors can promote the work of precipitation correction of automatic weighing gauges.