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利用便携式低分辨率光谱仪(PLRS)对城市 CO 柱浓度进行特征描述:与 GOSAT 和 GEOS-Chem 模型数据的比较。

Characterization of urban CO column abundance with a portable low resolution spectrometer (PLRS): Comparisons with GOSAT and GEOS-Chem model data.

机构信息

Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China; University of Chinese Academy of Sciences, Beijing, 100049, China.

Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China; Center for Excellence in Urban Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.

出版信息

Sci Total Environ. 2018 Jan 15;612:1593-1609. doi: 10.1016/j.scitotenv.2016.12.005. Epub 2017 Mar 28.

Abstract

We presented the characterization of urban CO column abundance (XCO) in Hefei, China using a portable low resolution spectrometer (PLRS). An optimized correction spectrum was introduced in the spectral fitting to improve CO retrieval. A pronounced seasonal cycle and diurnal variation were observed with a precision of ~0.12%. The CO concentrations in winter are about 5-10ppm higher than those in summer. Most diurnal variations exhibited downward trends. The measurement in the early morning is about 2-5ppm higher than the late afternoon observation. The causes of the seasonal and diurnal trends were systematic analyzed. The coincident CO time series were compared with the Greenhouse Gases Observing SATellite (GOSAT) data and the GEOS-Chem global 3-D tropospheric chemistry model data. We found the ground based (g-b) PLRS data are systematically higher than the GOSAT and the GEOS-Chem data. Compared to the GOSAT data, the g-b PLRS data are 0.26ppm (0.07%) higher with a standard deviation of 1.70ppm (0.43%). Compared to the smoothed GEOS-Chem model data, the g-b PLRS data shows a 1.31ppm (0.33%) higher with a standard deviation of 5.30ppm (0.87%). The g-b PLRS generally reproduced the seasonal cycle observed by GOSAT and GEOS-Chem model with correlation coefficients (r) of 0.82 and 0.64, respectively.

摘要

我们使用便携式低分辨率光谱仪(PLRS)展示了中国合肥城市 CO 柱浓度(XCO)的特征。在光谱拟合中引入了优化的校正谱,以提高 CO 反演的精度。观测到明显的季节性和日变化,精度约为 0.12%。冬季 CO 浓度比夏季高约 5-10ppm。大多数日变化呈下降趋势。清晨的测量值比傍晚的观测值高约 2-5ppm。系统地分析了季节性和日变化趋势的原因。将同时测量的 CO 时间序列与温室气体观测卫星(GOSAT)数据和全球 3-D 对流层化学模型数据进行了比较。我们发现,地面(g-b)PLRS 数据系统地高于 GOSAT 和 GEOS-Chem 数据。与 GOSAT 数据相比,g-b PLRS 数据高 0.26ppm(0.07%),标准偏差为 1.70ppm(0.43%)。与平滑化的 GEOS-Chem 模型数据相比,g-b PLRS 数据高 1.31ppm(0.33%),标准偏差为 5.30ppm(0.87%)。g-b PLRS 数据总体上再现了 GOSAT 和 GEOS-Chem 模型观测到的季节性周期,相关系数(r)分别为 0.82 和 0.64。

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