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CO 2 annual and semiannual cycles from multiple satellite retrievals and models

机译:来自多个卫星取回和模型的CO 2年度和半年度周期

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Satellite CO 2 retrievals from the Greenhouse gases Observing SATellite (GOSAT), Atmospheric Infrared Sounder (AIRS), and Tropospheric Emission Spectrometer (TES) and in situ measurements from the National Oceanic and Atmospheric Administration ?¢???? Earth System Research Laboratory (NOAA?¢????ESRL) Surface CO 2 and Total Carbon Column Observing Network (TCCON) are utilized to explore the CO 2 variability at different altitudes. A multiple regression method is used to calculate the CO 2 annual cycle and semiannual cycle amplitudes from different data sets. The CO 2 annual cycle and semiannual cycle amplitudes for GOSAT X CO2 and TCCON X CO2 are consistent but smaller than those seen in the NOAA?¢????ESRL surface data. The CO 2 annual and semiannual cycles are smallest in the AIRS midtropospheric CO 2 compared with other data sets in the Northern Hemisphere. The amplitudes for the CO 2 annual cycle and semiannual cycle from GOSAT, TES, and AIRS CO 2 are small and comparable to each other in the Southern Hemisphere. Similar regression analysis is applied to the Model for OZone And Related chemical Tracers?¢????2 and CarbonTracker model CO 2 . The convolved model CO 2 annual cycle and semiannual cycle amplitudes are similar to those from the satellite CO 2 retrievals, although the models tend to underestimate the CO 2 seasonal cycle amplitudes in the Northern Hemisphere midlatitudes and underestimate the CO 2 semiannual cycle amplitudes in the high latitudes. These results can be used to better understand the vertical structures for the CO 2 annual cycle and semiannual cycle and help identify deficiencies in the models, which are very important for the carbon budget study.
机译:从温室气体观测卫星(GOSAT),大气红外测深仪(AIRS)和对流层发射光谱仪(TES)中获取卫星CO 2以及从美国国家海洋与大气管理局获得的原位测量结果利用地球系统研究实验室(NOAAESRL)的表面CO 2和总碳柱观测网络(TCCON)来研究不同高度下的CO 2变异性。多元回归方法用于根据不同数据集计算CO 2年周期和半年周期振幅。 GOSAT X CO2和TCCON X CO2的CO 2年周期和半年周期振幅是一致的,但比NOAA,ESRL表面数据中的小。与北半球的其他数据集相比,AIRS对流层中的CO 2年度和半年度周期最小。来自GOSAT,TES和AIRS CO 2的CO 2年度周期和半年周期的振幅很小,并且在南半球彼此相当。将类似的回归分析应用于OZone和相关化学示踪剂模型2和CarbonTracker模型CO 2。尽管模型倾向于低估北半球中纬度的CO 2季节性周期幅度,而低估北半球高纬度的CO 2半年周期幅度,但卷积模型的CO 2年周期和半年周期幅度与卫星CO 2反演相似。纬度。这些结果可用于更好地了解CO 2年度循环和半年度循环的垂直结构,并有助于确定模型中的缺陷,这对于碳预算研究非常重要。

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