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DOI10.1029/2019JD031400
Evaluation of OCO-2 X CO2 Variability at Local and Synoptic Scales using Lidar and In Situ Observations from the ACT-America Campaigns
Bell E.; O'Dell C.W.; Davis K.J.; Campbell J.; Browell E.; Scott Denning A.; Dobler J.; Erxleben W.; Fan T.-F.; Kooi S.; Lin B.; Pal S.; Weir B.
发表日期2020
ISSN2169897X
卷号125期号:10
英文摘要With nearly 1 million observations of column-mean carbon dioxide concentration (X (Formula presented.)) per day, the Orbiting Carbon Observatory 2 (OCO-2) presents exciting possibilities for monitoring the global carbon cycle, including the detection of subcontinental column CO2 variations. While the OCO-2 data set has been shown to achieve target precision and accuracy on a single-sounding level, the validation of X (Formula presented.) spatial gradients on subcontinental scales remains challenging. In this work, we investigate the use of an integrated path differential absorption (IPDA) lidar for evaluation of OCO-2 observations via NASA's Atmospheric Carbon and Transport (ACT)-America project. The project has completed eight clear-sky underflights of OCO-2 with the Multifunctional Fiber Laser Lidar (MFLL)—along with a suite of in situ instruments—giving a precisely colocated, high-resolution validation data set spanning nearly 3,800 km across four seasons. We explore the challenges and opportunities involved in comparing the MFLL and OCO-2 X (Formula presented.) data sets and evaluate their agreement on synoptic and local scales. We find that OCO-2 synoptic-scale gradients generally agree with those derived from the lidar, typically to ±0.1 ppm per degree latitude for gradients ranging in strength from 0 to 1 ppm per degree latitude. CO2 reanalysis products also typically agree to ±0.25 ppm per degree when compared with an in situ-informed CO2 “curtain.” Real X (Formula presented.) features at local scales, however, remain challenging to observe and validate from space, with correlation coefficients typically below 0.35 between OCO-2 and the MFLL. Even so, ACT-America data have helped investigate interesting local X (Formula presented.) patterns and identify systematic spurious cloud-related features in the OCO-2 data set. ©2020. The Authors.
语种英语
来源期刊Journal of Geophysical Research: Atmospheres
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/185995
作者单位Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, United States; Department of Meteorology and Atmospheric Science, Earth and Environmental Systems Institute, The Pennsylvania State University, University Park, PA, United States; NASA Langley Research Center, Hampton, VA, United States; STARSS-III Affiliate, NASA Langley Research Center, Hampton, VA, United States; Spectral Sensor Solutions LLC, Fort Wayne, IN, United States; L3Harris Technologies, Fort Wayne, IN, United States; Atmospheric Science Division, Department of Geosciences, Texas Tech University, Lubbock, TX, United States; Universities Space Research Association, Columbia, MD, United States; NASA Goddard Space Flight Center, Greenbelt, MD, United States
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Bell E.,O'Dell C.W.,Davis K.J.,et al. Evaluation of OCO-2 X CO2 Variability at Local and Synoptic Scales using Lidar and In Situ Observations from the ACT-America Campaigns[J],2020,125(10).
APA Bell E..,O'Dell C.W..,Davis K.J..,Campbell J..,Browell E..,...&Weir B..(2020).Evaluation of OCO-2 X CO2 Variability at Local and Synoptic Scales using Lidar and In Situ Observations from the ACT-America Campaigns.Journal of Geophysical Research: Atmospheres,125(10).
MLA Bell E.,et al."Evaluation of OCO-2 X CO2 Variability at Local and Synoptic Scales using Lidar and In Situ Observations from the ACT-America Campaigns".Journal of Geophysical Research: Atmospheres 125.10(2020).
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