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Journal of Arid Land  2022, Vol. 14 Issue (3): 310-324    DOI: 10.1007/s40333-022-0010-3     CSTR: 32276.14.s40333-022-0010-3
Research article     
Adjustment of precipitation measurements using Total Rain weighing Sensor (TRwS) gauges in the cryospheric hydrometeorology observation (CHOICE) system of the Qilian Mountains, Northwest China
ZHAO Yanni1,2, CHEN Rensheng1,3,*(), HAN Chuntan1,2, WANG Lei4
1Qilian Alpine Ecology and Hydrology Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
2University of Chinese Academy of Sciences, Beijing 100049, China
3College of Urban and Environment Sciences, Northwest University, Xi'an 710127, China
4College of Geography and Environment, Shandong Normal University, Jinan 250014, China
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Abstract  

Precipitation is one of the most important indicators of climate data, but there are many errors in precipitation measurements due to the influence of climatic conditions, especially those of solid precipitation in alpine mountains and at high latitude areas. The measured amount of precipitation in those areas is frequently less than the actual amount of precipitation. To understand the impact of climatic conditions on precipitation measurements in the mountainous areas of Northwest China and the applicability of different gauges in alpine mountains, we established a cryospheric hydrometeorology observation (CHOICE) system in 2008 in the Qilian Mountains, which consists of six automated observation stations located between 2960 and 4800 m a.s.l. Total Rain weighing Sensor (TRwS) gauges tested in the World Meteorological Organization-Solid Precipitation Intercomparison Experiment (WMO-SPICE) were used at observation stations with the CHOICE system. To study the influence of climatic conditions on different types of precipitation measured by the TRwS gauges, we conducted an intercomparison experiment of precipitation at Hulu-1 station that was one of the stations in the CHOICE system. Moreover, we tested the application of transfer functions recommended by the WMO-SPICE at this station using the measurement data from a TRwS gauge from August 2016 to December 2020 and computed new coefficients for the same transfer functions that were more appropriate for the dataset from Hulu-1 station. The new coefficients were used to correct the precipitation measurements of other stations in the CHOICE system. Results showed that the new parameters fitted to the local dataset had better correction results than the original parameters. The environmental conditions of Hulu-1 station were very different from those of observation stations that provided datasets to create the transfer functions. Thus, root-mean-square error (RMSE) of solid and mixed precipitation corrected by the original parameters increased significantly by the averages of 0.135 (353%) and 0.072 mm (111%), respectively. RMSE values of liquid, solid and mixed precipitation measurements corrected by the new parameters decreased by 6%, 20% and 13%, respectively. In addition, the new parameters were suitable for correcting precipitation at other five stations in the CHOICE system. The relative precipitation (RP) increment of different types of precipitation increased with rising altitude. The average RP increment value of snowfall at six stations was the highest, reaching 7%, while that of rainfall was the lowest, covering 3%. Our results confirmed that the new parameters could be used to correct precipitation measurements of the CHOICE system.



Key wordsautomatic weather stations      Total Rain weighing Sensors      precipitation correction      transfer function      Qilian Mountains     
Received: 14 November 2021      Published: 31 March 2022
Corresponding Authors: *CHEN Rensheng (E-mail: crs2008@lzb.ac.cn)
Cite this article:

ZHAO Yanni, CHEN Rensheng, HAN Chuntan, WANG Lei. Adjustment of precipitation measurements using Total Rain weighing Sensor (TRwS) gauges in the cryospheric hydrometeorology observation (CHOICE) system of the Qilian Mountains, Northwest China. Journal of Arid Land, 2022, 14(3): 310-324.

URL:

http://jal.xjegi.com/10.1007/s40333-022-0010-3     OR     http://jal.xjegi.com/Y2022/V14/I3/310

Fig. 1 (a), distribution of the six automatic observation stations in the CHOICE system; (b), the layout of the CHOICE system; (c), a single-Alter shielded Total Rain weighing Gauge 204 (TRwSSA); (d), a single-Alter shielded Total Rain weighing Gauge 204 with an octagonal double fence (TRwSDF); (e), an automated meteorological tower (AMT) measuring wind speed, air temperature and relative humidity at 1.5 and 2.5 m heights.
Station Longitude
(°E)
Latitude
(°N)
Elevation
(m)
Land
use
Mean v1.5 (m/s) Max v1.5 (m/s) Mean T1.5 (℃) Instrument Data period
Hulu-1 99.883 38.269 2980 grassland 1.6 8.6 0.9 TRwSSA (TRwS204), TRwSDF (TRwS204), two AMT (0.7 and 10 m; 1.5 and 2.5 m heights) Aug 2016-
Dec 2020
Hulu-2 99.877 38.249 3232 shrub and meadow 2.1 9.5 -2.2 TRwSSA (TRwS504), one AMT at 1.5 and 2.5 m heights 2018-2020
Hulu-3 99.870 38.254 3380 meadow 1.6 12.3 0.6 TRwSSA (TRwS204), one AMT at 1.5 and 2.5 m heights 2018-2020
Hulu-4 99.889 38.232 3711 marshy meadow 2.3 13.2 -1.6 TRwSSA (TRwS504), one AMT at 1.5 and 2.5 m heights 2018-2020
Hulu-5 99.890 38.221 4164 moraine talus 2.7 14.1 -3.7 TRwSSA (TRwS504), one AMT at 1.5 and 2.5 m heights 2018-2020
Hulu-6 99.877 38.218 4484 moraine 3.0 14.6 -6.3 TRwSSA (TRwS504), one AMT at 1.5 and 2.5 m heights 2018-2020
Table 1 Description of each station of the CHOICE system
Fig. 2 Impacts of minimum 30-min precipitation threshold on developing transfer functions at Hulu-1 station of the CHOICE system. (a), number of 30-min precipitation events (n) above the threshold; (b), standard deviation (σ) of the linear transfer function error; (c) standard error (SE) of transfer functions. Only rainfall results are shown here.
Precipitation type Event Precipitation (mm) Mean v1.5
(m/s)
Max v1.5
(m/s)
Mean T1.5
(℃)
TRwSDF TRwSSA
Rainfall 1099 1494.13 1470.23 1.8 5.9 8.8
Snowfall 101 35.42 33.43 2.4 5.5 -5.1
Mixed 351 203.25 199.12 2.2 7.2 0.0
All 1551 1732.80 1702.79 1.9 7.2 5.9
Table 2 Comparison of 30-min precipitation accumulations between single-Alter shielded TRwS204 gauge (TRwSSA) and TRwS204 gauge with a DFIR shield (TRwSDF) from August 2016 to December 2020 at Hulu-1 station of the CHOICE system
Fig. 3 Catch efficiency under different wind speeds for liquid precipitation (a), solid precipitation (b) and mixed precipitation (c). The dataset was observed from August 2016 to December 2020 at Hulu-1 station of the CHOICE system. n, the number of precipitation events. IQR, inter-quartile range.
Fig. 4 Correlation between single-Alter shielded TRwS204 gauge (TRwSSA) and TRwS204 gauge with a DFIR shield (TRwSDF) for (a) all precipitation types, (b) liquid, (c) solid and (d) mixed precipitation
Fig. 5 Root-mean-square error (RMSE), mean bias (Bias), Pearson's coefficient (r) and percentage of precipitation events within the threshold of 0.1 mm (PE0.1mm) of liquid, mixed and solid precipitations for single-Alter shielded TRwS204 gauge (TRwSSA)
Station Mean v1.5 (m/s) Max v1.5 (m/s) Mean T1.5 (℃) Rainfall (mm) Percentage
(%)
Snowfall (mm) Percentage
(%)
Mixed
(mm)
Percentage
(%)
Total
(mm)
Percentage
(%)
Hulu-2 1.5 8.0 2.4 1134.5 70 256.8 16 229.6 14 1620.9 100
Hulu-3 1.3 11.8 3.6 1236.7 72 158.7 10 311.4 18 1706.8 100
Hulu-4 2.2 8.0 1.5 1513.9 64 323.9 14 506.7 22 2344.5 100
Hulu-5 1.9 11.0 -0.4 1238.6 46 594.9 23 807.8 31 2641.3 100
Hulu-6 2.5 11.8 -3.1 484.0 22 891.5 41 808.6 37 2184.1 100
Table 3 Average wind speed and air temperature, maximum wind speed and different types of precipitation at other five stations during precipitation
Fig. 6 Relative precipitation (RP) increments for six observation stations (Hulu-1, Hulu-2, Hulu-3, Hulu-4, Hulu-5 and Hulu-6) after the correction of the new parameters fitted to the dataset from Hulu-1 station
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