Chevallier Frédéric, Broquet Grégoire, Zheng Bo, Ciais Philippe, Eldering Annmarie
Laboratoire des Sciences du Climat et de l'Environnement LSCE/IPSL CEA-CNRS-UVSQ Université Paris-Saclay Gif-sur-Yvette France.
Institute of Environment and Ecology Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China.
Geophys Res Lett. 2022 Mar 16;49(5):e2021GL097540. doi: 10.1029/2021GL097540. Epub 2022 Mar 11.
Using the multiyear archive of the two Orbiting Carbon Observatories (OCO) of NASA, we have retrieved large fossil fuel CO emissions (larger than 1.0 ktCO h per 10 square degree grid cell) over the globe with a simple plume cross-sectional inversion approach. We have compared our results with a global gridded and hourly inventory. The corresponding OCO emission retrievals explain more than one third of the inventory variance at the corresponding cells and hours. We have binned the data at diverse time scales from the year (with OCO-2) to the average morning and afternoon (with OCO-3). We see consistent variations of the median emissions, indicating that the retrieval-inventory differences (with standard deviations of a few tens of percent) are mostly random and that trends can be calculated robustly in areas of favorable observing conditions, when the future satellite CO imagers provide an order of magnitude more data.
利用美国国家航空航天局（NASA）两颗轨道碳观测卫星（OCO）的多年存档数据，我们采用一种简单的羽流横截面反演方法，获取了全球范围内大量的化石燃料一氧化碳排放数据（每10平方度网格单元大于1.0 ktCO₂/h）。我们将结果与全球网格化的每小时排放清单进行了比较。相应的OCO排放反演结果解释了相应单元格和时间点清单方差的三分之一以上。我们将数据按从年（利用OCO - 2）到平均上午和下午（利用OCO - 3）等不同时间尺度进行了分类。我们看到中位数排放呈现出一致的变化，这表明反演 - 清单差异（标准差为几十百分比）大多是随机的，并且当未来的卫星一氧化碳成像仪能提供多一个数量级的数据时，在有利观测条件的区域可以可靠地计算出趋势。
