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High-resolution satellite aerosol optical depth retrieval and its variability over highly industrialized hotspots in the Po Valley, Italy

机译:在意大利波谷,高分辨率卫星气溶胶光学深度反演及其在高度工业化热点上的变异性

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Natural and anthropogenic aerosol emissions play a fundamental role both in directly modulating the incoming solar radiation and affecting air quality in the planetary boundary layer. Likewise, their indirect effects impact cloud lifetime, atmospheric column thermodynamics and precipitation patterns. For this reason, it is of crucial importance to assess aerosol spatial and temporal variability to reduce the uncertainty in forecasting future scenarios by the climatological models. In this study we developed an image based robust methodology that permits to retrieve the atmospheric path radiance and then the Aerosol Optical Depth (AOD) using satellite high-resolution spatial images paired with the Fu-Liou-Gu radiative transfer model. We applied our methodology to study aerosol variability in the PO valley (Northern Italy), one of the most polluted region in Europe.
机译:自然和人为的气溶胶排放在直接调节入射的太阳辐射和影响行星边界层中的空气质量方面都起着根本性的作用。同样,它们的间接影响会影响云的寿命,大气柱的热力学和降水模式。因此,至关重要的是评估气溶胶的时空变异性,以减少通过气候模型预测未来情景时的不确定性。在这项研究中,我们开发了一种基于图像的鲁棒方法,该方法可以使用卫星高分辨率空间图像与Fu-Liou-Gu辐射传递模型配对,从而检索大气路径辐射率,然后检索气溶胶光学深度(AOD)。我们应用我们的方法研究了PO谷(意大利北部)的气溶胶变异性,该谷是欧洲污染最严重的地区之一。

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