Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/hess-2017-8
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
14 Feb 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Hydrology and Earth System Sciences (HESS).
Correcting precipitation measurements of TRwS204 in the Qilian Mountains, China
Qin Zheng1,2, Rensheng Chen1, Chuntan Han1, Junfeng Liu1, Yaoxuan Song1, Zhangwen Liu1, Yong Yang1, Lei Wang1,2, Xiqiang Wang1,2, Xiaojiao Liu1,2, Shuhai Guo1,2, and Guohua Liu1,2 1Qilian Alpine Ecology and Hydrology Research Station, Key Laboratory of Inland River Ecohydrology, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
2University of Chinese Academy of Sciences, Beijing 100049, China
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.

Citation: Zheng, Q., Chen, R., Han, C., Liu, J., Song, Y., Liu, Z., Yang, Y., Wang, L., Wang, X., Liu, X., Guo, S., and Liu, G.: Correcting precipitation measurements of TRwS204 in the Qilian Mountains, China, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-8, in review, 2017.
Qin Zheng et al.
Qin Zheng et al.
Qin Zheng et al.

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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.
In this study, we analyzed the losses of TRwS204, and found that the contributions from specific...
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