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In meteorology, a mesonet is a network of (typically) automated weather stations designed to observe mesoscale meteorological phenomena. Dry lines, squall lines, and sea breezes are examples of phenomena that can be observed by mesonets. Due to the space and time scales associated with mesoscale phenomena, weather stations comprising a mesonet will be spaced closer together and report more frequently than synoptic scale observing networks, such as ASOS. The term mesonet refers to the collective group of these weather stations, and are typically owned and operated by a common entity. The distinguishing features that classify a network of weather stations as a mesonet are station density and temporal resolution. Depending upon the phenomena meant to be observed, mesonet stations will have a spatial spacing of 〔Fujita, Tetsuya. "A Review of Researches on Analytical MesoMeteorology, Research Paper #8, February 1962〕 and report conditions every 1 to 15 minutes. == Why mesonets? == Thunderstorms, squall lines, dry lines, and other mesoscale phenomena can cause weather conditions in a localized area to be significantly different from that dictated by the ambient large-scale condition. As such, meteorologists need to understand these phenomena in order to improve forecast skill. Observations are critical to understanding the processes by which these phenomena form, evolve, and dissipate. The long-term observing networks (ASOS, AWOS, (Coop )), however, are too sparse and report too infrequently for mesoscale research. ASOS and AWOS stations are typically spaced apart and report only hourly on most occasions. The Cooperative Observer Program (COOP) database consists of only daily reports. "Mesoscale" weather phenomena occur on spatial scales of tens to hundreds of kilometers and temporal (time) scales of hours. Thus, an observing network with finer temporal and spatial scales is needed for mesoscale research. This need led to the development of the mesonet. Mesonet data is directly used by humans for decision making, but also boosts the skill of numerical weather prediction and is especially beneficial for short-range mesoscale models. Mesonets, along with remote sensing solutions (e.g. weather radar, weather satellites, wind profilers), allow for much greater temporal and spatial resolution in a forecast model. In addition to meteorology and climatology users, transportation departments and utility companies also have a need for fine scale weather information. These organizations operate dozens of mesonets within the US and globally. Agricultural, environmental, and emergency management interests also are heavy users of mesonet information. In many cases, mesonet stations may (by necessity) be located in positions where accurate measurements may be compromised; for instance, this is especially true of the stations built for Weatherbug's network, many of which were located on school buildings. The potential bias that these locations may cause must be accounted for when entering the data into a model, lest the phenomenon of "garbage in, garbage out" occur. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「mesonet」の詳細全文を読む スポンサード リンク
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