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Eyjafjallaj?kull volcanic ash concentrations determined using Spin Enhanced Visible and Infrared Imager measurements

机译:使用自旋增强型可见光和红外成像仪测量确定的Eyjafjallaj?kull火山灰浓度

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Between 14 April and 25 May, 2010, Eyjafjallaj?kull volcano in Iceland erupted a large amount of fine grained ash. Dispersion models and satellite data were used to identify the location of the ash cloud, but accurate quantitative forecasts of the concentrations could not be made. By using multispectral satellite measurements from the Spin Enhanced Visible and Infrared Imager (SEVIRI), it is shown that quantitative estimates of the mass loadings(g m ~(-2))can be made with a detection limit ~0.2 g m ~(-2), every 15 minutes. These data represent the most comprehensive coverage, in space and time, of the Eyjafjallaj?kull ash and its movement. A new ash concentration chart is proposed that removes the ambiguity inherent in assigning high concentrations to highly negative brightness temperature differences. Validation of satellite ash retrievals against measurements from aircraft, ground-based lidars, and air quality data is presented. The results show a mean bias of-47 g m ~(-3)and standard deviation of ±154 g m ~(-3). The satellite ash retrievals are sufficiently accurate for use with dispersion models to constrain ash concentration forecasts. Concentrations in the dense parts of the dispersing ash cloud occasionally exceeded 4 mg m ~(-3)(~3% of ash-affected pixels), and ash clouds with concentrations >2 mg m ~(-3)covered large parts of European airspace on several occasions(~50% of ash-affected pixels). The statistical analysis leads naturally to a logarithmic scale for assigning ash concentration limits. We suggest that a better approach is to utilize a dosage and illustrate this using a simple model of ash deposition on jet engines.
机译:在2010年4月14日至5月25日期间,冰岛的Eyjafjallaj?kull火山喷发了大量细粒灰。使用了扩散模型和卫星数据来确定灰云的位置,但无法对浓度进行准确的定量预测。通过使用自旋增强型可见光和红外成像仪(SEVIRI)的多光谱卫星测量,表明可以在检测限约为0.2 gm〜(-2)的情况下对质量负荷(gm〜(-2))进行定量估计。 ,每15分钟一次。这些数据代表了Eyjafjallaj?kull烟灰及其运动在空间和时间上的最全面覆盖。提出了一个新的灰分浓度图表,该图表消除了将高浓度分配给高度负的亮度温度差时固有的歧义。提出了根据飞机,地面激光雷达和空气质量数据对卫星灰分取回进行的验证。结果显示平均偏差为-47 g m〜(-3),标准偏差为±154 g m〜(-3)。卫星灰分取回足够准确,可与色散模型一起使用来约束灰分浓度预测。分散的烟灰云的密集部分的浓度偶尔超过4 mg m〜(-3)(约占受烟灰影响的像素的3%),而浓度> 2 mg m〜(-3)的烟灰云覆盖了大部分的欧洲几次空域(灰烬影响像素的〜50%)。统计分析自然导致对数标度分配灰分浓度极限。我们建议一种更好的方法是利用剂量,并使用喷气发动机上的灰烬沉积简单模型对此进行说明。

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