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首页> 外文期刊>Atmospheric chemistry and physics >Using airborne HIAPER Pole-to-Pole Observations (HIPPO) to evaluate model and remote sensing estimates of atmospheric carbon dioxide
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Using airborne HIAPER Pole-to-Pole Observations (HIPPO) to evaluate model and remote sensing estimates of atmospheric carbon dioxide

机译:使用机载HIAPER极点观测(HIPPO)评估大气二氧化碳的模型和遥感估算

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In recent years, space-borne observations of atmospheric carbon dioxide (COsub2/sub) have been increasingly used in global carbon-cycle studies. In order to obtain added value from space-borne measurements, they have to suffice stringent accuracy and precision requirements, with the latter being less crucial as it can be reduced by just enhanced sample size. Validation of COsub2/sub column-averaged dry air mole fractions (XCOsub2/sub) heavily relies on measurements of the Total Carbon Column Observing Network (TCCON). Owing to the sparseness of the network and the requirements imposed on space-based measurements, independent additional validation is highly valuable. Here, we use observations from the High-Performance Instrumented Airborne Platform for Environmental Research (HIAPER) Pole-to-Pole Observations (HIPPO) flights from 01/2009 through 09/2011 to validate COsub2/sub measurements from satellites (Greenhouse Gases Observing Satellite – GOSAT, Thermal Emission Sounder – TES, Atmospheric Infrared Sounder – AIRS) and atmospheric inversion models (CarbonTracker CT2013B, Monitoring Atmospheric Composition and Climate (MACC) v13r1). We find that the atmospheric models capture the XCOsub2/sub variability observed in HIPPO flights very well, with correlation coefficients (ir/isup2/sup) of 0.93 and 0.95 for CT2013B and MACC, respectively. Some larger discrepancies can be observed in profile comparisons at higher latitudes, in particular at 300?hPa during the peaks of either carbon uptake or release. These deviations can be up to 4?ppm and hint at misrepresentation of vertical transport. brbr Comparisons with the GOSAT satellite are of comparable quality, with an ir/isup2/sup of 0.85, a mean bias iμ/i of ?0.06?ppm, and a standard deviation iσ/i of 0.45?ppm. TES exhibits an ir/isup2/sup of 0.75, iμ/i of 0.34?ppm, and iσ/i of 1.13?ppm. For AIRS, we find an ir/isup2/sup of 0.37, iμ/i of 1.11?ppm, and iσ/i of 1.46?ppm, with latitude-dependent biases. For these comparisons at least 6, 20, and 50 atmospheric soundings have been averaged for GOSAT, TES, and AIRS, respectively. Overall, we find that GOSAT soundings over the remote Pacific Ocean mostly meet the stringent accuracy requirements of about 0.5?ppm for space-based COsub2/sub observations.
机译:近年来,对大气中二氧化碳(CO 2 )的星载观测已越来越多地用于全球碳循环研究中。为了从星载测量中获得附加值,它们必须满足严格的精度和精确度要求,后者的要求不那么严格,因为可以通过增加样本量来减少它。验证CO 2 列平均干空气摩尔分数(XCO 2 )很大程度上取决于对总碳柱观测网络(TCCON)的测量。由于网络的稀疏性以及对空基测量的要求,独立的附加验证非常有价值。在这里,我们使用从高性能机载环境研究平台(HIAPER)的点对点观测(HIPPO)航班从01/2009到09/2011的观测值来验证来自以下位置的CO 2 测量值卫星(温室气体观测卫星– GOSAT,热辐射探测仪– TES,大气红外探测仪– AIRS)和大气反演模型(CarbonTracker CT2013B,监测大气成分和气候(MACC)v13r1)。我们发现,大气模型很好地捕获了在HIPPO飞行中观察到的XCO 2 变异性,相关系数( r 2 )为0.93和0.95。分别用于CT2013B和MACC。在较高纬度的剖面比较中,可以观察到一些较大的差异,特别是在碳吸收或释放的高峰期在300?hPa时。这些偏差可能高达4?ppm,暗示垂直传输的误解。 与GOSAT卫星的比较质量相当, r 2 为0.85,平均偏差μ为? 0.06?ppm,标准偏差σ为0.45?ppm。 TES的 r 2 为0.75,μ为0.34?ppm和σ为1.13?ppm。对于AIRS,我们发现 r 2 为0.37,μ为1.11?ppm,σ为1.46? ppm,具有与纬度相关的偏差。为了进行这些比较,分别对GOSAT,TES和AIRS分别平均了至少6、20和50个大气探测。总的来说,我们发现在遥远的太平洋上,GOSAT测深大多满足对空基CO 2 观测的严格精度要求,约为0.5?ppm。

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