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Atmospheric validation of high accuracy CO_2 absorption coefficients for the OCO-2 mission

机译:OCO-2任务的高精度CO_2吸收系数的大气验证

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摘要

We describe atmospheric validation of View the MathML source and View the MathML source CO_2 absorption coefficient databases for use by the Orbiting Carbon Observatory (OCO-2). The OCO-2 mission will collect the measurements needed to estimate column-averaged CO_2 dry air mole fraction within 1 ppm accuracy without the region- or airmass-dependent biases that would significantly degrade efforts to understand carbon sources and sinks on a global scale. To accomplish this, the forward radiative transfer model used to generate synthetic atmospheric spectra for retrievals must achieve unprecedented spectroscopic fidelity within the short wave infrared CO_2 bands sampled by the sensors. The failure of Voigt line shapes and conventional line mixing formulations for such objectives has motivated significant revisions to line shape models used to generate the gas absorption cross sections for the OCO-2 forward model. In this paper, we test line mixing and speed dependent line shapes combined with improved experimental line parameters. We evaluate pre-computed absorption coefficients in the two spectral regions of CO_2 absorbtion using high resolution FT-IR laboratory spectra, atmospheric spectra from the Total Carbon Column Observing Network (TCCON), and medium resolution soundings from the space-based Greenhouse Gases Observing Satellite (GOSAT).
机译:我们描述了由轨道碳天文台(OCO-2)使用的大气层验证,以及大气层CO_2吸收系数数据库。 OCO-2任务将收集所需的测量值,以估算1 ppm精度以内的柱平均CO_2干空气摩尔分数,而不会因区域或空气质量而产生偏差,而这会大大降低人们在全球范围内了解碳源和汇的工作。为此,用于生成用于检索的合成大气光谱的正向辐射传递模型必须在传感器采样的短波红外CO_2波段内达到空前的光谱保真度。 Voigt线形和常规线混合公式的失败,促使人们对线形模型进行了重大修订,这些线形模型用于生成OCO-2前向模型的气体吸收截面。在本文中,我们结合改进的实验线参数来测试线混合和速度相关的线形。我们使用高分辨率的FT-IR实验室光谱,总碳柱观测网络(TCCON)的大气光谱以及天基温室气体观测卫星的中等分辨率测深来评估CO_2吸收的两个光谱区域中的预先计算的吸收系数(GOSAT)。

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