Estimates of atmospheric carbon dioxide concentration from satellites now span multiple years and are providing information on key processes in the carbon cycle. Methodology for retrieving CO₂ from satellite spectra continues to change as understanding of instrument calibration, other atmospheric constituents, and trace gas spectroscopy improve. In this work, we provide an update to linear error estimates for retrieval of carbon dioxide for the Orbiting Carbon Observatory-2/3 (OCO-2/3) due spectroscopic uncertainties. Linear error analysis is used to propagate uncertainties in laboratory conditions and spectroscopic model assumptions to sensitivity in retrieved XCO₂ and surface pressure from OCO-2/3. Error estimates due to modeling assumptions for line mixing, collision-induced absorption, and water vapor exhibit noticeable variability across locations and seasons. On the other hand, error estimates due to perturbations in laboratory conditions are nearly constant in space and time.

现在，来自卫星的大气中二氧化碳浓度的估算值已经跨越了多年，并且正在提供有关碳循环关键过程的信息。随着对仪器校准，其他大气成分和痕量气体光谱学的理解的提高，从卫星光谱中检索CO _2的方法继续发生变化。在这项工作中，我们提供了线性误差估计的更新，用于归因于光谱不确定性的轨道碳观测站2/3（OCO-2 / 3）二氧化碳的检索。线性误差分析用于传播实验室条件和光谱模型假设中对不确定性的不确定性，以获取XCO ₂和来自OCO-2 / 3的表面压力。由于管线混合，碰撞引起的吸收和水蒸气的建模假设而产生的误差估计值在各地和季节之间表现出明显的可变性。另一方面，由于实验室条件的扰动造成的误差估计在空间和时间上几乎是恒定的。