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<br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />~ <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />t <br />t <br />t <br />t <br />t <br />t <br />. <br />. <br />. <br />. <br />. <br />I <br /> <br /> <br />The nature of precipitation <br />An elusive and perplexing weather variable <br /> <br />Measuring precipitation <br /> <br />Precipitation is ubiquitous in our lives, and can <br />have profound impacts on a farmer's profit and <br />loss. A we! period during planting time would <br />force a farmer to have a late crop, a rain at the <br />right time can save a farmer's dryland crop. <br />while an excessive rainfall can make fields <br />muddy and ruin crops. During the growing <br />season, it is interesting to listen 10 farmers in a <br />cafe the day after a rain. The main talk of the <br />town is the rain; some sections got a 9000 <br />shower while the next section over received no <br />rain. Precipitation is an elusive and perplexing <br />weather variable: even with leday's technology. <br />it remains difficult to measure, model and <br />predict. <br /> <br />Unlike temperature. which is measurable all <br />around us all the time. precipitation can be <br />intermittent: it can rain not at all. a little or <br />heavily. Rainfall can also be spatially irregular: <br />at one moment, it can rain on one side of the <br />street but not !he other, on one stretch of <br />highway but not another, on one field or on one <br />watershed but not on an adjacent one. This <br />variation from one location to another, and <br />from one lime to another, can generate <br />significant confusion when collecting data to <br />analyze rainfall amounts. For example. it is <br />possible that sufficient rain could fall on a rain <br />gauge while no rain falls on a farmer's nearby <br />field. How then can a meteorologist manage to <br />work with nature if the pattern of rain is so <br />uncertain? <br /> <br />The rainfall in the SOAR target area is mainly <br />convective during the operational season and <br />thus it is more localized and Its spatial and <br />temporal distribution as well as the intensity of <br />rainfall is highly variable. Therefore. it is <br /> <br />essential to measure area rainfall on real time <br />as accurately as possible. Various methods of <br />rainfall measurements are available_ <br /> <br />Conventional technologies. which we can call <br />rain gauges. are based on simple concepts: <br />either precipitation falls into a bucket where it is <br />measured with a ruler. or it falls on a pan of <br />known but small volume. which tips when full. <br />The number of times the pan tips is then <br />counted The mere presence of a rain gauge al <br />a site alters the flow of the local wind. and this <br />changes the precipitation measurement from <br />what could have fallen if the instrument were <br />not there. Among the many other concerns are <br />errors from evaporation during measurement. <br />Second is the question as to whether the <br />measurements made at one or more locations <br />within a region fairly reflect the precipitation <br />over that region. A pilot study conducted by <br />SOAR has already demonstrated that rain <br />gauges do not accurately or fairly represent the <br />rainfall amount received in the immediate area <br />during the growing season when seeding is <br />conducted. This changes drastically in the <br />wintertime when the precipitation <br />characteristics change from convective <br />sporadic and spotty nature of precipitation to a <br />more stratiform and uniform rainfall in the <br />wintertime. Evidence from local rain gauge <br />data from 1971.2000 shQ'NS that rain gauge <br />point data is more representative of the <br />immediate area rainfall in the wintertime and <br />not in the summer time. In addition. historical <br />data from 1916-2002 shows that rainfall <br />amounts in the growing season have a <br />sinusoidal variation (alternate increases and <br />decreases in rainfall above an average value) <br />with a period of about 80 to 100 years. This <br /> <br />22 <br />