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A new ground-based differential absorption sunphotometer for measuring atmospheric columnar CO_2 and preliminary applications

机译:一种用于测量大气柱状CO_2和初步应用的新型地基微分吸收阳光镜

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Carbon dioxide is commonly considered as the most important greenhouse gas. Ground-based remote sensing technology of acquiring CO_2 columnar concentration is needed to provide validation for spaceborne CO_2 products. A new ground-based sunphotometer prototype for remotely measuring atmospheric CO_2 is introduced in this paper, which is designed to be robust, portable, automatic and suitable for field observation. A simple quantity, Differential Absorption Index (DAI) related to CO_2 optical depth, is proposed to derive the columnar CO_2 information based on the differential absorption principle around 1.57 micron. Another sun/sky radiometer CE318, is used to provide correction parameters of aerosol extinction and water vapor absorption. A cloud screening method based on the measurement stability is developed. A systematic error assessment of the prototype and DAI is also performed. We collect two-year DAI observation from 2010 to 2012 in Beijing, analyze the DAI seasonal variation and find that the daily average DAI decreases in growing season and reaches to a minimum on August, while increases after that until January of the next year, when DAI reaches its highest peak, showing generally the seasonal cycle of CO_2. We also investigate the seasonal differences of DAI variation and attribute the tendencies of high in the morning and evening while low in the noon to photosynthesis efficiency variation of vegetation and anthropogenic emissions. Preliminary comparison between DAI and model simulated XCO_2 (Carbon Tracker 2011) is conducted, showing that DAI roughly reveals some temporal characteristics of CO_2 when using the average of multiple measurements.
机译:二氧化碳通常被认为是最重要的温室气体。需要采集CO_2柱状浓度的地面遥感技术,以提供空间载CO_2产品的验证。本文介绍了一种用于远程测量大气CO_2的新的基于地面的阳光滤光片原型,设计为坚固,便携,自动,适用于现场观察。提出了一种简单的数量,与CO_2光学深度相关的差分吸收指数(DAI),基于差​​分吸收原理达到柱状CO_2信息,差分吸收原理约为1.57微米。另一个太阳/天空辐射计CE318,用于提供气溶胶消光和水蒸气吸收的校正参数。开发了一种基于测量稳定性的云筛选方法。还进行了对原型和戴的系统错误评估。我们从2010年到2012年北京收集两年的傣族观察,分析了傣族季节性变化,发现日常平均傣族减少在8月份的增长季节,达到最低限度,而明年1月至1月则增加戴达到最高峰,一般显示Co_2的季节性循环。我们还调查傣族变异的季节性差异,并将高夜晚的趋势归因于中午较低,以对植被和人为排放的光合效率变化。进行了戴和模型模拟XCO_2(碳跟踪器2011)之间的初步比较,显示DAI大致在使用多次测量的平均值时概述CO_2的一些时间特征。

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