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DOI | 10.1029/2019JD031686 |
Terrestrial CO2 Fluxes, Concentrations, Sources and Budget in Northeast China: Observational and Modeling Studies | |
Li X.; Hu X.-M.; Cai C.; Jia Q.; Zhang Y.; Liu J.; Xue M.; Xu J.; Wen R.; Crowell S.M.R. | |
发表日期 | 2020 |
ISSN | 2169897X |
卷号 | 125期号:6 |
英文摘要 | CO2 fluxes and concentrations are not well understood in Northeast China, where dominant land surface types are mixed forest and cropland. Here, we analyzed the CO2 fluxes and concentrations using observations and the Weather Research and Forecasting model coupled with the Vegetation Photosynthesis and Respiration Model (WRF-VPRM). We also used WRF-VPRM outputs to examine CO2 transport/dispersion and budgets. Finally, we investigated the uncertainties of simulating CO2 fluxes related to four VPRM parameters (including maximum light use efficiency, photosynthetically active radiation half-saturation value, and two respiration parameters) using off-line ensemble simulations. The results indicated that mixed forests acted as a larger CO2 source and sink than rice paddies in 2016 due to a longer growth period and stronger ecosystem respiration, although measured minimum daily mean net ecosystem exchange (NEE) was smaller at rice paddy (−10 μmol·m-2·s-1) than at mixed forest (−6.5 μmol·m-2·s-1) during the growing season (May–September). The monthly fluctuation of column-averaged CO2 concentrations (XCO2) exceeded 10 ppm in Northeast China during 2016. The large summertime biogenic sinks offset about 70% of anthropogenic contribution of XCO2 in this region. WRF-VPRM modeling successfully captured seasonal and episodic variations of NEE and CO2 concentrations; however, NEE in mixed forest was overestimated during daytime, mainly due to the uncertainties of VPRM parameters, especially maximum light use efficiency. These findings suggest that the WRF-VPRM modeling framework will provide greater understanding of the natural and anthropogenic contributions to the carbon cycle in China, especially after calibration of parameters that control biogenic fluxes. ©2020. American Geophysical Union. All Rights Reserved. |
英文关键词 | CO2; eddy covariance; WRF-VPRM |
语种 | 英语 |
来源期刊 | Journal of Geophysical Research: Atmospheres
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/186087 |
作者单位 | Institute of Atmospheric Environment, China Meteorological Administration, Shenyang, China; Center for Analysis and Prediction of Storms, and School of Meteorology, University of Oklahoma, Norman, OK, United States; Department of Occupational and Environmental Health, University of Oklahoma Health Sciences Center, University of Oklahoma, Oklahoma City, OK, United States; Department of Environmental Engineering, Columbia University, New York, NY, United States; Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing, China; Shanghai Key Laboratory of Health and Meteorology, Shanghai Meteorological Service, Shanghai, China; GeoCarb Mission, University of Oklahoma, Norman, OK, United States |
推荐引用方式 GB/T 7714 | Li X.,Hu X.-M.,Cai C.,et al. Terrestrial CO2 Fluxes, Concentrations, Sources and Budget in Northeast China: Observational and Modeling Studies[J],2020,125(6). |
APA | Li X..,Hu X.-M..,Cai C..,Jia Q..,Zhang Y..,...&Crowell S.M.R..(2020).Terrestrial CO2 Fluxes, Concentrations, Sources and Budget in Northeast China: Observational and Modeling Studies.Journal of Geophysical Research: Atmospheres,125(6). |
MLA | Li X.,et al."Terrestrial CO2 Fluxes, Concentrations, Sources and Budget in Northeast China: Observational and Modeling Studies".Journal of Geophysical Research: Atmospheres 125.6(2020). |
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