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Spaceborne measurements of atmospheric CO_2 by high-resolution NIR spectrometry of reflected sunlight: An introductory study

机译:高分辨率NIR光谱法对反射太阳光进行大气CO_2的星空测量:入门研究

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摘要

We introduce a strategy for measuring the column-averagedudCO_2 dry air volume mixing ratio X_(CO_2) from space. It employs high resolution spectra of reflected sunlight taken simultaneously in near-infrared (NIR) CO_2 (1.58-mm and 2.06-mm) and O_2 (0.76-mm) bands. Simulation experiments, show that precisions of ~0.3–2.5 ppmv for X_(CO_2) can be achieved from individual clear sky soundings for a range of atmospheric/surface conditions when the scattering optical depth t_s is less than ~0.3. When averaged over many clear sky soundings, random errors become negligible. This high precision facilitates the identification and correction of systematic errors, which are recognized as the most serious impediment for the satellite X_(CO_2) measurements. We briefly discuss potential sources of systematicuderrors, and show that some of them may result in geographically varying biases in the measured X_(CO_2). This highlights the importance of careful calibration and validation measurements, designed to identify and eliminate sources of these biases. We conclude that the 3-band, spectrometric approach using NIR reflected sunlight has the potential for highly accurate X_(CO_2) measurements.
机译:我们引入了一种从空间测量列平均 udCO_2干空气体积混合比X_(CO_2)的策略。它使用在近红外(NIR)CO_2(1.58毫米和2.06毫米)和O_2(0.76毫米)波段同时拍摄的反射阳光的高分辨率光谱。仿真实验表明,当散射光学深度t_s小于〜0.3时,对于一定范围的大气/地面条件,可以通过单独的晴朗天空探测获得X_(CO_2)的〜0.3–2.5 ppmv的精度。如果对许多晴朗的天空进行平均,随机误差可以忽略不计。这种高精度有助于系统误差的识别和纠正,这被认为是卫星X_(CO_2)测量的最严重障碍。我们简要讨论了系统性 uderror的潜在来源,并显示其中一些可能导致所测得的X_(CO_2)的地理位置存在偏差。这突出了仔细进行校准和验证测量的重要性,这些测量旨在识别和消除这些偏差的来源。我们得出的结论是,使用NIR反射太阳光的3波段光谱法具有进行高精度X_(CO_2)测量的潜力。

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