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<br />~>~....,' '....... <br />so. ftI ~~...._.....,~u..'l-j,o>".~...._~_..,. .~.. , <br /> <br />PRECIPITATION GAUGE SITES <br /> <br />687 <br /> <br />~1[Z]6. <br />10 . <br />. <br />. <br /> <br />o <br />o 10 20 <br /> <br />"'"[2] "'I2J <br /> <br />o <br /> <br />10 <br /> <br />20 <br /> <br />o <br /> <br />10 <XR 20 <br /> <br />I <br />j <br /> <br />. <br />! <br />I <br />I <br />t <br />i <br />~ <br /> <br />i <br />( <br />f <br /> <br />Figure 5. Plots of weighted means of vertical angle Cl of obstacles against the arithmetic mean of eight sectors, ClS' From the left: the <br />mean of 16 sectors versus the mean of eight sectors; the weight mean, ClSw' by the doubled values of westerly sectors (NW, W, SWI versus <br />the mean of eight sectors, ClS; and the mean of three westerly sectors Cllw .versus the mean of eight sectors cxs <br /> <br />possible in cases where there is a series of pictures of the gauge site taken from various sectors by different <br />people in consecutive years, complemented by drawings and written reports on site peculiarities, noting <br />possible effects of the surrounding objects on GSE. Even in such cases errors can still occur when the :x <br />values of adjoining sectors vary considerably. A further possible source of error stems from pictures taken <br />that seem more to reflect the investigator's concept how the GSE for a particular sector should appear, rather <br />than the reality. <br />In Figure 5, the weighted means of ex are plotted against the eight-sector arithmetic mean. It shows that <br />the difference between the averages of:x computed for 16 and for 8 sectors is small. The latter seems to <br />slightly overestimate the 0: average. Almost the same can be said of the doubled values for westerly sectors. <br />They do not change the average considerably. The difference rarely exceeds a value of :t I o. However, the <br />difference between the eight-sector 0: and the arithmetic average ex of the three westerly sectors is absolutely <br />clear. It seems that the more-or-Iess protected sites are relatively better protected, particularly from westerly <br />precipitation-bearing winds. In contrast, for more-or-less open sites the westerly sectors are even more <br />'exposed' than other sectors. <br /> <br />DISCUSSION <br /> <br />The relative accuracy of GSE class estimates from the station history by trained personnel, of less than 0,5 <br />ofa GSE class out of four, shows the practicability of the suggested method. Brown and Peck (1962) pointed <br />out that two meteorologists who had the opportunity to discuss and jointly classify several gauge sites <br />usually did not vary by more than one category out of seven. This conforms with the results obtained in <br />the present study. <br />Interestingly the error in GSE estimate of :to'5 of a class results in an error for wind-induced losses of <br />between :t 0,5 and :t 1.0 per cent in the summer season, from April to September, and between :t 1.0 and <br />:t 2.0 per cent in the winter season, from October to March. These figures represent the maximum error <br />in the lowlands, up to 600 m a.s.l. and for wind speeds up to 4 m s - t. In contrast, for wind speeds up to <br />6 m s - 1 and at altitudes up to 2000 m a.s.l., they can be three times greater. <br />The accuracy of GSE estimates can be increased if the classification is made by personnel who frequently <br />visit the sites. Of course, the best method of classification is the direct measurement of 0: or by assessing <br />photographs taken by a camera fitted with a fish-eye lens from the gauge orifice. Here, the arithmetic <br />average based on eight wind directions of the wind rose can be taken as a reference. An average based on <br />16 directions produces only a small improvement. The establishment of four GSE classes, as shown in Table <br />I, will be sufficient for most practical purposes. An additional three interim classes can be used in windy <br />regions, in the mountainous areas, and for research purposes. The possibility of using weighted averages <br />of ex in the direction of precipitation-bearing winds must also be considered. <br /> <br />. <br /> <br />APPLICATIONS <br /> <br />The results of this study show that it is possible to classify the GSE fairly accurately from the station history <br />records. Providing such records have not been lost or destroyed, there are prospects for dealing with <br />