Retrievals of Ozone in the Troposphere and Lower Stratosphere Using FTIR Observations Over Greenland
Retrievals of Ozone in the Troposphere and Lower Stratosphere Using FTIR Observations Over Greenland
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DOI：
10.1109/tgrs.2022.3180626
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发表时间：
2022
影响因子：
8.2
通讯作者：
Shima Bahramvash Shams;V. Walden;J. Hannigan;David D. Turner
中科院分区：
文献类型：
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作者：
Shima Bahramvash Shams;V. Walden;J. Hannigan;David D. Turner
当检索地球物理参数时，具有基于具有相关联的不确定性的观测的先验信息的估计是有利的，但这通常是不可能的。格陵兰Summit站的长期地面遥感测量和臭氧探测仪方案提供了一个机会，可以利用北极地区基于观测的先验信息建立一个独特的框架来检索大气臭氧。本研究探讨了利用地基极地大气辐射干涉仪（P-AERI）估计10公里以下臭氧的潜力。下视或边缘观察传感器，如卫星上的传感器，对低层大气的灵敏度有限;然而，上传的地面仪器为卫星观测提供了补充信息，以改进对低层大气中痕量气体的估计。现代研究和应用回顾分析第二版（MERRA-2）是一种再分析产品，它综合了卫星信息，但也继承了其在低大气层的较高不确定性。利用在Summit站发射的臭氧探测仪，对MERRA-2臭氧数据集的不确定性进行了基于观测的气候学估计。MERRA-2在中平流层显示出高精度，但在10公里以下的不确定性较大。检索，使用光谱辐射测量从P-AERI改善对流层和平流层下部的臭氧浓度的估计，通过使用先验信息从MERRA-2和我们的气候学的MERRA-2的不确定性作为协方差的前。利用格陵兰Summit站2012年至2017年的臭氧探测仪观测，评估了检索结果的质量。对比结果表明，部分气柱的引入降低了MERRA-2对10 km以下臭氧估算的偏差，对流层臭氧平均浓度得到了明显改善。
When retrieving geophysical parameters, it is advantageous to have an estimate of prior information that is based on observations with associated uncertainties, but this is often not possible. Long-term ground-based remote sensing measurements and the ozonesonde program at Summit Station, Greenland, provide an opportunity to create a unique framework to retrieve atmospheric ozone using observationally based prior information in the Arctic. This study investigates the potential of using the ground-based polar atmospheric emitted radiance interferometer (P-AERI) to estimate ozone below 10 km. Downlooking or limb-viewing sensors, such as those from satellites, have limited sensitivity to the lower atmosphere; however, uplooking, ground-based instruments provide complementary information to satellite observations to improve trace gas estimates at lower atmospheric levels. Modern-Era Retrospective Analysis for Research and Application, version 2 (MERRA-2) is a reanalysis product that integrates satellite information but also inherits their higher uncertainties at lower atmospheric levels. An observation-based climatology of the uncertainty in the MERRA-2 ozone dataset is estimated using ozonesondes launched at Summit Station. MERRA-2 shows high accuracy in the middle stratosphere but larger uncertainties below 10 km. Retrievals that use spectral radiance measurements from the P-AERI improve the estimates of ozone concentrations in the troposphere and lower stratosphere by using prior information from MERRA-2 and our climatology of MERRA-2 uncertainties as the covariance of the prior. Using ozonesonde observations from 2012 to 2017 at Summit Station, Greenland, the quality of the retrieved results is assessed. Comparisons show that retrieved partial columns reduce the bias of MERRA-2 ozone estimation below 10 km, and the average tropospheric ozone concentration is improved significantly.