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Estimating Aerosol Emissions by Assimilating Remote Sensing Observations into a Global Transport Model

机译:通过将遥感观测纳入全球运输模型估算气溶胶排放

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摘要

We present a fixed-lag ensemble Kalman smoother for estimating emissions for a global aerosol transport model from remote sensing observations. We assimilate AERONET AOT and AE as well as MODIS Terra AOT over ocean to estimate the emissions for dust, sea salt and carbon aerosol and the precursor gas SO2. For January 2009, globally dust emission decreases by 26% (to 3,244 Tg/yr), sea salt emission increases by 190% (to 9073 Tg/yr), while carbon emission increases by ~45% (to 136 Tg/yr), compared with the standard emissions. Remaining errors in global emissions are estimated at 62% (dust), 18% (sea salt) and 78% (carbons), with the large errors over land mostly due to the sparseness of AERONET observations. The new emissions are verified by comparing a forecast run against independent MODIS Aqua AOT, which shows significant improvement over both ocean and land. This paper confirms the usefulness of remote sensing observations for improving global aerosol modelling. © 2012 by the authors.
机译:我们提出了一个固定滞后集合卡尔曼平滑器,用于根据遥感观测估算全球气溶胶传输模型的排放量。我们对海洋上的AERONET AOT和AE以及MODIS Terra AOT进行了同化,以估算粉尘,海盐和碳气溶胶以及前体气体SO2的排放量。 2009年1月,全球粉尘排放量减少了26%(至3244 Tg /年),海盐排放量增加了190%(至9073 Tg /年),而碳排放量增加了约45%(至136 Tg /年),与标准排放量相比。据估计,全球排放的剩余误差为62%(粉尘),18%(海盐)和78%(碳),而陆地上的较大误差主要是由于AERONET观测的稀疏性。通过将预测与独立的MODIS Aqua AOT进行比较,验证了新的排放量,该预测显示海洋和陆地上都有显着改善。本文证实了遥感观测对改进全球气溶胶建模的有用性。 ©2012作者。

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