Linking global terrestrial CO<sub>2</sub> fluxes and environmental drivers using OCO-2 and a geostatistical inverse model

doi:10.5194/acp-2020-285

GSTDTAP > 地球科学

DOI	10.5194/acp-2020-285
	Linking global terrestrial CO₂ fluxes and environmental drivers using OCO-2 and a geostatistical inverse model
	Zichong Chen, Junjie Liu, Daven K. Henze, Deborah N. Huntzinger, Kelley C. Wells, and Scot M. Miller
	2020-04-24
发表期刊	Atmospheric Chemistry and Physics
出版年	2020
英文摘要	Observations from the OCO-2 satellite, launched in July 2014, have been used to estimate CO₂ fluxes in many regions of the globe and provide new insight on the global carbon cycle. A challenge now is to not only estimate fluxes using satellite observations but also to understand how these fluxes are connected to variations in environmental conditions. In this study, we specifically evaluate the capabilities and limitations of utilizing current OCO-2 observations to infer connections between CO₂ fluxes and underlying environmental variables. To do so, we adapt geostatistical inverse modeling to satellite-based applications and evaluate a case study for year 2016 using OCO-2. One unique aspect of the geostatistical approach is that we can use estimates of environmental and meteorological variables to help estimate CO₂ fluxes in place of a traditional prior flux model. We are able to quantify the relationships between CO₂ fluxes and a few environmental variables across global biomes; we find that a simple combination of air temperature, daily precipitation, and photosynthetically active radiation (PAR) can describe almost 90 % of the variability in CO₂ fluxes as seen through OCO-2 observations. PAR is an adept predictor of fluxes across mid-to-high latitudes, whereas a combined set of air temperature and precipitation shows strong explanatory power across tropical biomes. However, we are unable to quantify relationships with additional environmental variables because many variables are correlated or colinear when passed through an atmospheric model and averaged across a total atmospheric column. Overall, we estimate a global net biospheric flux of −1.73 ± 0.53 GtC in year 2016, in close agreement with recent inverse modeling studies using OCO-2 retrievals as observational constraints.
领域	地球科学
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文献类型	期刊论文
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/248925
专题	地球科学
推荐引用方式 GB/T 7714	Zichong Chen, Junjie Liu, Daven K. Henze, Deborah N. Huntzinger, Kelley C. Wells, and Scot M. Miller. Linking global terrestrial CO₂ fluxes and environmental drivers using OCO-2 and a geostatistical inverse model[J]. Atmospheric Chemistry and Physics,2020.
APA	Zichong Chen, Junjie Liu, Daven K. Henze, Deborah N. Huntzinger, Kelley C. Wells, and Scot M. Miller.(2020).Linking global terrestrial CO₂ fluxes and environmental drivers using OCO-2 and a geostatistical inverse model.Atmospheric Chemistry and Physics.
MLA	Zichong Chen, Junjie Liu, Daven K. Henze, Deborah N. Huntzinger, Kelley C. Wells, and Scot M. Miller."Linking global terrestrial CO₂ fluxes and environmental drivers using OCO-2 and a geostatistical inverse model".Atmospheric Chemistry and Physics (2020).