Introduction
Precipitation data are of primary importance for all hydrological studies. But there are few reliable data of winter precipitation in mountainous regions, due to technical difficulties with instrumentation and measurements.
Existing precipitation gauges are not suitable for our target areas where winter access is difficult and electric power supply is not available. Non-recording gauges with limited capacity, such as the MSC Nipher shielded snow gauge (Canada), the SMHI precipitation gauge (Sweden) and the Tretyakov precipitation gauge (Russia), must be emptied frequently, usually once a day (Reference Goodison, Ferguson, McKay, Gray and MaleGoodison and others, 1981). Weighing-type precipitation gauges operate continously and unattended for up to one year (Goodison and others, 1981) but weighing is affected by wind, resulting in measurement errors (Reference FoehnerFoehner, 1978). The GEONOR gauge that is based on the vibrating-wire principle is capable of providing more reliable data (Reference Huovila, Elomaa, Leminen, Tammelin and TuominenHuovila and others, 1988), but this method needs line current to operate. Likewise, the over-flow tipping-bucket gauge (the Japan Meteorological Agency standard) requires electric power to melt solid precipitation.
At remote or unattended sites storage-type gauges that melt solid precipitation with antifreeze solution have been used. Most of this type of gauge can only provide precipitation totals for a month or longer (Goodison and others, 1981). Floater-operated storage gauges have been developed to provide continous records, but this method is subject to errors caused by volume changes due to temperature changes over the season.
Another important problem for solid precipitation measurements is catch deficiency. Wind shields and/or modification of gauge collector shape improve catch efficiency but not completely (Reference LarsonLarson, 1986). Alternatively, we can estimate “true precipitation” by applying correction procedures to gauge measurement (Reference SevrukSevruk, 1986). This seems more attractive and promising, but simple, accurate operational procedures for correction have not yet been developed.
The objective of this study was to develop an accurate,recording precipitation gauge for remote or unattended sites where heavy snowfall occurs in winter.
Design and Construction
The instrument consists of an open cylinder (the collector-container) with a pressure sensor fitted to the cylinder bottom ( Fig. 1). Antifreeze solution is charged in the cylinder and a thin layer of oil is used to retard evaporation of both antifreeze solution and water. The hydrostatic pressure of the liquid increases as precipitation accumulates in the container. This increase, when expressed in terms of water-column height in mm, corresponds to the amount of precipitation caught during a given time period.
The collector-container used in this study was a 2000 mm high PVC cylinder with an orifice 200 mm in diameter. The cylinder was painted white. The orifice rim was a sharp ring made of brass. The gauge had no wind shield.
The pressure sensor uses a quartz crystal as transducer (Model QWP-841, Meisei Electric Co., Ltd.), which can be operated with either 12 VDC batteries or 110 VAC. The sensor measures differential pressure between the reference and measuring cells. Since the reference cell was open to the atmosphere and the measuring cell to the liquid in the gauge container, the pressure of the liquid alone was supposed to be detected. The range of the sensor operation was 0–2000 mm. Resolution of the pressure sensor was 0.1mm and accuracy ±0.05% of given quantity. The sensor accuracy was tested in the laboratory, eliminating the disturbing influences of temperature, evaporation and wind. Water was added 30 times to the container and the pressure increase was measured. The maximum error amounted to less than 0.1 mm. Output signals were stored in a commonly available data-logger.
A mixture of 40% ethylene glycol and 60% ethanol was used as an antifreeze solution.
Performance
Scope and methods
We conducted field tests to evaluate the performance of the instrument during two winters, 1990–91 and 1991–92 in Joetsu, Japan. The observation site was located on the Experimental Farm of the Hokuriku National Agricultural Experiment Station (37°6′45″N, 138°16′31″E and 11 m a.s.l.). The site was surrounded by open fields, mainly rice, and was more than 150 m away from trees and buildings.
The performance of the newly developed instrument (the “totalizer”) was compared with the following gauges:
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Double Fence Intercomparison Reference (DFIR), with an unshielded and heated precision gauge surrounded by two large fences (1991–92 only);
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Japan Meteorological Agency (JMA) standard, shielded and heated (Yokogawa B-071);
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tipping bucket, unshielded and heated, (Yokogawa B-012);
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Belfort, unshielded and unheated (1990–91 only).
DFIR was set up according to the WMO specifications (WMO, 1985), except the gauge used was an unshielded and heated high-precision overflow gauge (Meisei QW-90). All gauges and the totalizer were installed on towers so that the orifice height was 3.5 m above the ground.
To establish a complete data set with all necessary information for the purposes of this study, we carried out continuous, automatic observations of air temperature, dew-point temperature, wind speed and direction, and solar radiation. Snow water equivalent was also measured continuously with a snow pillow. Additionally, we made daily snow water equivalent measurements of the snow cover and the new fallen snow by snow-core sampling to complement automatic measurements.
Difference between two samples, one at the beginning and the other at the end of the period. No melting occurred.
# Totalizer reading not corrected for evaporation.
** Assumed 1 for snow sampling (above), and for snow pillow (below)
† Computed from catch efficiency = 1/(1 + G*U), where U is the wind speed in m s−1 and G the gauge constant in s m−1. Average wind speed was 4.2 m s−1.
With these measurements, we aimed to achieve two objectives :
To assess the instrument’s ability to measure collected precipitation when mixed with antifreeze solution; and to discover operational correction procedures for our instrument that are accurate and readily applicable.
Results and discussion
The first year’s trial showed that the antifreeze solution and pressure-sensor system worked satisfactorily to melt snow and to detect the amount of water thus accumulated. All the gauges compared performed similarly during the seven-day period when two major snowfall events occurred (Table 1; Fig. 2). Low catch efficiency, 50–60% (Table 1), was probably due to the strong wind, which over this period averaged 4.2 ms−1.
The 1991 winter data also suggest that there were some apparent malfunctions in the newly developed instrument ( Fig. 2). One is a systematic decline in the amount of water collected in dry periods. This was primarily due to the fact that the oil used (DOA oil, density 0.93 g cm−3) did not sufficiently prevent evaporation of ethanol and water. In a laboratory experiment a water — antifreeze solution was covered by 3.5 mm DOA oil. After one month all ethanol had evaporated. Superimposed on evaporation was insufficient temperature compensation for the quartz-crystal pressure sensor.
Rapid fluctuations in the sensor output also appeared from time to time ( Fig. 2), owing to the effects of strong wind ( Fig. 3).
Having replaced the evaporation retardant with engine oil (brand Pan-S, 10W-30, density 0.88 g cm−3) and improved the temperature correction, we confirmed that the instrument performed satisfactorily over more than a month in the 1992 winter ( Fig. 4). Accumulated precipitation measured by our instrument and the JMA standard were identical for most of the time, indicating that the instrument was comparable to the standard gauge with regard to both catch and detection capabilities.
As noted above, the sensor output fluctuated in response to wind. Statistical analysis on the relation between the pressure and wind speed ( Fig. 5) showed that the standard deviation of the water-level change (σ, calculated from 20 samples collected within 10 min, in mm) increases quadratically with wind speed (U ms−1):
σ = 0.011U 2.
This result implies that the instrument provides a measure of wind speed that is used to correct for wind-caused undermeasurement.
Conclusions
Field-testing over two winters demonstrated that the newly developed totalizer performed satisfactorily. Both response to the onset of a precipitation event and accuracy of measurement were comparable to the JMA standard gauge. Furthermore, it was capable of detecting wind speed simultaneously. This feature is particularly noteworthy since it provides the possibility that the totalizer can operate as a “self-correcting” precipitation gauge. Wind is a major source of error in precipitation gauge measurements (Goodison and others, 1981). Thus we can assume that catch efficiency is a function of wind speed U (m s−1) (e.g. Reference DahlströmDahlström, 1986).
CE = f(G, U),
where CE is catch efficiency and G is the “gauge constant” that is dependent on both gauge configuration and precipitation form. Since the totalizer we have developed is able to detect wind speed (U) as well, CE could be computed continously if the value of G is specified. This, in turn, enables the instrument to provide corrected precipitation for catch deficiency automatically.