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Quantification of uncertainties in OCO-2 measurements of XCOsub2/sub: simulations and linear error analysis

机译:XCO 2 的OCO-2测量不确定度的量化:模拟和线性误差分析

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We present an analysis of uncertainties in global measurements of the column averaged dry-air mole fraction of COsub2/sub (XCOsub2/sub) by the NASA Orbiting Carbon Observatory-2 (OCO-2). The analysis is based on our best estimates for uncertainties in the OCO-2 operational algorithm and its inputs, and uses simulated spectra calculated for the actual flight and sounding geometry, with measured atmospheric analyses. The simulations are calculated for land nadir and ocean glint observations. We include errors in measurement, smoothing, interference, and forward model parameters. All types of error are combined to estimate the uncertainty in XCOsub2/sub from single soundings, before any attempt at bias correction has been made. From these results we also estimate the "variable error" which differs between soundings, to infer the error in the difference of XCOsub2/sub between any two soundings. The most important error sources are aerosol interference, spectroscopy, and instrument calibration. Aerosol is the largest source of variable error. Spectroscopy and calibration, although they are themselves fixed error sources, also produce important variable errors in XCOsub2/sub. Net variable errors are usually &?1?ppm over ocean and ~?0.5–2.0 ppm over land. The total error due to all sources is ~?1.5–3.5?ppm over land and ~?1.5–2.5?ppm over ocean.
机译:我们介绍了由NASA轨道碳观测站2(OCO-)对CO 2 (XCO 2 )的柱平均干空气摩尔分数进行整体测量的不确定性分析2)。该分析基于我们对OCO-2运算算法及其输入中不确定性的最佳估计,并使用针对实际飞行和探测几何计算的模拟光谱,并进行了测量的大气分析。为陆地最低点和海洋闪烁观测计算模拟。我们包括测量,平滑,干扰和正向模型参数中的误差。在尝试进行偏差校正之前,将所有类型的误差组合在一起,以从单次探测估算XCO 2 的不确定性。根据这些结果,我们还估计了“可变误差”。两种测深之间的差异,以推断出任何两种测深之间的XCO 2 差异的误差。最重要的误差源是气溶胶干扰,光谱学和仪器校准。气雾剂是最大的可变误差来源。光谱学和校准虽然本身是固定的误差源,但在XCO 2 中也会产生重要的可变误差。净可变误差通常在海洋上小于& 1 ppm,在陆地上为〜0.5-2.0 ppm。所有来源造成的总误差在陆地上约为〜1.5-3.5?ppm,在海洋上约为〜1.5-2.5?ppm。

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