气候变化领域集成服务门户(CCPortal): Examining CO2 Model Observation Residuals Using ACT-America Data

CCPortal

DOI	10.1029/2020JD034481
	Examining CO2 Model Observation Residuals Using ACT-America Data
	Gerken T.; Feng S.; Keller K.; Lauvaux T.; DiGangi J.P.; Choi Y.; Baier B.; Davis K.J.
发表日期	2021
ISSN	2169-897X
卷号	126 期号:18
英文摘要	Atmospheric (Formula presented.) inversion typically relies on the specification of prior flux and atmospheric model transport errors, which have large uncertainties. Here, we used ACT-America airborne observations to compare (Formula presented.) model observation mismatch in the eastern U.S. and during four climatological seasons for the mesoscale WRF(-Chem) and global scale CarbonTracker/TM5 (CT) models. Models used identical surface carbon fluxes, and CT was used as (Formula presented.) boundary condition for WRF. Both models showed reasonable agreement with observations, and (Formula presented.) residuals follow near symmetric peaked (i.e., non-Gaussian) distribution with near-zero bias of both models (CT: (Formula presented.) ppm; WRF: (Formula presented.) ppm). We also found large magnitude residuals at the tails of the distribution that contribute considerably to overall bias. Atmospheric boundary-layer biases (1–10 ppm) were much larger than free tropospheric biases (0.5–1 ppm) and were of same magnitude as model-model differences, whereas free tropospheric biases were mostly governed by (Formula presented.) background conditions. Results revealed systematic differences in atmospheric transport, most pronounced in the warm and cold sectors of synoptic systems, highlighting the importance of transport for (Formula presented.) residuals. While CT could reproduce the principal (Formula presented.) dynamics associated with synoptic systems, WRF showed a clearer distinction for (Formula presented.) differences across fronts. Variograms were used to quantify spatial correlation of residuals and showed characteristic residual length scales of approximately 100–300 km. Our findings suggest that inclusion of synoptic weather-dependent and non-Gaussian error structure may benefit inversion systems. © 2021. American Geophysical Union. All Rights Reserved.
英文关键词	ACT-America; aircraft campaign; carbon cycle; regional carbon flux
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/236989
作者单位	Department of Meteorology and Atmospheric Science, Pennsylvania State University, University Park, PA, United States; Now at School of Integrated Sciences, James Madison University, Harrisonburg, VA, United States; Now at Atmospheric Sciences & Global Change Division, Pacific Northwest National Laboratory, Richland, WA, United States; Department of Geosciences, Pennsylvania State University, University Park, PA, United States; Earth and Environmental Systems Institute, Pennsylvania State University, University Park, PA, United States; Laboratoire des Sciences du Climat et de l'Environnement, CEA, CNRS, UVSQ/IPSL, Université Paris-Saclay, Gif-sur-Yvette CEDEX, France; NASA Langley Research Center, Hampton, VA, United States; Science Systems and Applications Inc., Hampton, VA, United States; Cooperative Institute for Research in Environmental Sciences, University of Colorado-Boulder, Boulder, CO, United States; NOAA Global Monitoring Laboratory, Boulder, CO, United States
推荐引用方式 GB/T 7714	Gerken T.,Feng S.,Keller K.,et al. Examining CO2 Model Observation Residuals Using ACT-America Data[J],2021,126(18).
APA	Gerken T..,Feng S..,Keller K..,Lauvaux T..,DiGangi J.P..,...&Davis K.J..(2021).Examining CO2 Model Observation Residuals Using ACT-America Data.Journal of Geophysical Research: Atmospheres,126(18).
MLA	Gerken T.,et al."Examining CO2 Model Observation Residuals Using ACT-America Data".Journal of Geophysical Research: Atmospheres 126.18(2021).