利用COCCON观测对俄罗斯圣彼得堡和叶卡捷琳堡上空空载微量气体产品的调查

C. Alberti, Q. Tu, F. Hase, M. Makarova, K. Gribanov, S. Foka, V. Zakharov, T. Blumenstock, M. Buchwitz, C. Diekmann, B. Ertl, Matthias M. Frey, H. Imhasin, D. Ionov, F. Khosrawi, S. Osipov, M. Reuter, M. Schneider, T. Warneke
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摘要

摘要这项工作采用地面和天基观测,结合模式数据,研究了俄罗斯两个高纬度城市圣彼得堡和叶卡捷琳堡大气微量气体(XH2O、XCO2、XCH4和XCO)的柱状丰度。两台便携式协同柱碳观测网络(COCCON)光谱仪在2019年和2020年期间在这些地点进行了连续测量。此外,还研究了在2019年使用这两种工具进行的移动城市活动框架中收集的特别感兴趣的数据子集(检测到XCH4和XCO的强梯度)。所有研究的卫星产品(TROPOMI、OCO-2、GOSAT、MUSICA IASI)与COCCON观测结果基本一致。高纬度地区的卫星和地面观测比低纬度或中纬度地区少得多,这使得遥感观测之间的直接一致比较更加困难。因此,开发了一种将连续CAMS模型数据转换为地面观测数据的方法,并将其用于创建虚拟的COCCON观测数据。这些调整后的CAMS数据随后用于卫星验证,在彼得霍夫市和叶卡捷琳堡市显示出良好的一致性。两个研究点(ΔXgas)的梯度在CAMS和CAMS-COCCON数据集之间相似,说明模型梯度与COCCON观测到的梯度一致。这进一步得到了一些同时进行的COCCON和卫星ΔXgas测量结果的支持,这些测量结果也与模型梯度一致。相对于在圣彼得堡记录的城市运动观测,下风的COCCON站测量到XCH4 (10.6 ppb)和XCO (9.5 ppb)的明显增强,这很好地反映在TROPOMI观测中,XCH4和XCO的城市尺度梯度分别为9.4 ppb和12.5 ppb。
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Investigation of space-borne trace gas products over St. Petersburg and Yekaterinburg, Russia by using COCCON observations
Abstract. This work employs ground- and space-based observations, together with model data to study columnar abundances of atmospheric trace gases (XH2O, XCO2, XCH4, and XCO) in two high-latitude Russian cities, St. Petersburg and Yekaterinburg. Two portable COllaborative Column Carbon Observing Network (COCCON) spectrometers were used for continuous measurements at these locations during 2019 and 2020. Additionally, a subset of data of special interest (a strong gradient in XCH4 and XCO was detected) collected in the framework of a mobile city campaign performed in 2019 using both instruments is investigated. All studied satellite products (TROPOMI, OCO-2, GOSAT, MUSICA IASI) show generally good agreement with COCCON observations. Satellite and ground-based observations at high latitude are much sparser than at low or mid latitude, which makes direct coincident comparisons between remote-sensing observations more difficult. Therefore, a method of scaling continuous CAMS model data to the ground-based observations is developed and used for creating virtual COCCON observations. These adjusted CAMS data are then used for satellite validation, showing good agreement in both Peterhof and Yekaterinburg cities. The gradients between the two study sites (ΔXgas) are similar between CAMS and CAMS-COCCON data sets, indicating that the model gradients are in agreement with the gradients observed by COCCON. This is further supported by a few simultaneous COCCON and satellite ΔXgas measurements, which also agree with the model gradient. With respect to the city campaign observations recorded in St. Petersburg, the downwind COCCON station measured obvious enhancements for both XCH4 (10.6 ppb) and XCO (9.5 ppb), which is nicely reflected by TROPOMI observations, which detect city-scale gradients of the order 9.4 ppb for XCH4 and 12.5 ppb XCO, respectively.
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