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Raman lidar measurements of water vapor as ground-truth for passiveremote sensors

机译:拉曼激光雷达测量水蒸气作为无源远程传感器的地面真相

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The WMO regularily distributes data from the upper-airnballoon-sonde network made up of sites in participating countries aroundnthe world, but the quality varies significantly from country to country.nSatellite observations of global water vapor hold the promise to meetnthe needs of the scientific community. At present passive sensorsnoperating in the infrared and microwave are the only data source fromnwhich to derive atmospheric moisture information. A ground-based Ramannlidar is an ideal sensor to obtain ground-truth data to compare with thensatellite data. The Raman lidar provides vertical profiles of waternvapor mixing ratio which can be used to directly compare with both thensatellite derived data and aircraft versions of future satellite passivensensors. The lidar profiles can provide an important measure ofnatmospheric moisture variability. Knowledge of moisture variability isnabsolutely essential for a proper validation of passive sensors becausenofthe errors associated with beam-filling. In general the measurementnbeam of a satellite-based IR or a microwave instrument is several 10s ofnkilometers at the Earth's surface. The upwelling radiation within thisnfootprint is influenced not only by the total concentration of thenspecies being measured but also by the distribution of that species innthe instantaneous field-of-view. We must know both to perform a validninversion. The Raman lidar developed at the Goddard Space Flight Centernconsists of an xenon fluoride excimer laser and a 0.75 meter telescope.nThe lidar in able, through the use of beamsplitters, to simultaneouslynmeasure laser scattering from aerosols, nitrogen, oxygen and waternvapor. The ratio of the water vapor signal to the nitrogen signal afterna small differential attenuation correction is proportional to waternvapor mixing ratio. The ratio measured versus the time of flight of thenlaser pulse is easily converted into an altitude profile of moisture. Andetailed description of the system along with data showing moisture andnit's variability are given
机译:WMO定期分发来自全球参与国站点组成的上空气球探空网的数据,但各国之间的质量差异很大。n对全球水蒸气的卫星观测具有满足科学界需求的希望。目前,在红外和微波中工作的无源传感器是唯一可从中导出大气湿度信息的数据源。地面Ramannlidar是获取地面真实数据与卫星数据进行比较的理想传感器。拉曼激光雷达提供了水汽混合比的垂直剖面图,可用于直接与卫星衍生数据和未来卫星无源传感器的飞机版本进行比较。激光雷达轮廓可以提供重要的测量大气湿度变化的方法。湿度可变性的知识对于无源传感器的正确验证是绝对必要的,因为没有与光束填充相关的误差。通常,基于卫星的IR或微波仪器的测量光束在地球表面的几十分之几千米。在此足迹内的上升流辐射不仅受到所测量物种的总浓度的影响,而且还受到瞬时视野中该物种分布的影响。我们必须都知道要执行validninversion。拉曼激光雷达是由戈达德太空飞行中心开发的,它由氟化氙准分子激光和0.75米望远镜组成。激光雷达可以通过使用分束器同时测量来自气溶胶,氮气,氧气和水汽的激光散射。经过小的差分衰减校正后,水蒸气信号与氮信号的比率与水蒸气混合比成正比。所测得的比率与随后的激光脉冲飞行时间之比很容易转换成湿度的高度分布。给出了系统的详细说明以及显示湿度和尼特尔变异性的数据

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